anfis strategy for windfuel cell power management system in a micro grid
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This proect introduces a micro grid! which consists o" di""erent distri#uted
generation units which are connected to the distri#ution grid$ The operations o" the
%G units are coordinated #y the power management algorithm in grid and islanded
operations$ The primary generation unit o" the micro grid is the wind tur#ine and the
proton e&change mem#rane "uel cell is used to supplement the 'aria#ility in the
power$ In micro grid a #attery is incorporated to o'ercome the di""iculty o" shortage
o" power demand during Islanded operation and to impro'e crest demands
throughout grid connected operation$ Pre'iously the power management system was
done using model predicti'e algorithm control design$ Which has comple&
mathematical calculations to "ind out critical 'alues
Now in this proect! ANFIS controller is used as the
control design which reduces the design comple&ity as the logical operations are
per"ormed to "ind out critical 'alues! the power (uality such as harmonic
compensation "or nonlinear loads o" the distri#ution system! will #e impro'ed when
compared to model predicti'e algorithm control design and also It has "ast response$
The complete proposed system will #e tested using MAT)A*/SIM+)IN, and the
simulation results re'eal the attracti'e per"ormance characteristics o" the proposed
system$
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1. INTRODUCTION
1.1GENERAL
The aim of this chapter is to present the motivation behind the work done in
this thesis. The chapter also provides the Existing system analysis as well as the thesis
organization.
1.2 MOTIVATION
In the near future, the demand for electric energy is expected to increase
rapidly due to the global population growth and industrialization. This increase in the
energy demand requires electric utilities to increase their generation. ecent studies
predict that the world!s net electricity generation is expected to rise from "#.$ trillion
kilowatt%hours in &''( to &).) trillion kilowatt%hours *an increase of )"+ in &'"(
and $$.$ trillion kilowatt%hours *an increase of -&.(+ in &'$'. urrently, a large
share of electricity is generated from fossil fuels, especially coal due to its low prices.
/owever, the increasing use of fossil fuels accounts for a significant portion of
environmental pollution and greenhouse gas emissions, which are considered the
main reason behind the global warming. 0or example, the emissions of carbon dioxide
and mercury are expected to increase by $(+ and 1+, respectively, by the year &'&'
due to the expected increase in electricity generation. 2oreover, possible depletion of
fossil fuel reserves and unstable price of oil are two main concerns for industrialized
countries. To overcome the problems associated with generation of electricity from
fossil fuels, renewable energy sources can be participated in the energy mix. 3ne of
the renewable energy sources that can be used for this purpose is wind energy that is
atmospheric air in motion. This wind energy can be converted to clean electricity
through the turbine process. The use of wind turbine systems for electricity generation
started in the seventies of the &'th
century and is currently growing rapidly worldwide.
1.3 EXISTING SYSTEM
To reduce the variability in the renewable sources, energy storage devices are
used such as batteries and ultra capacitors. The inclusion of energy storage devices is
also difficult for organizing demands and deviation in the load requirement. In present
pro4ect, a micro grid composed of a 5hotovoltaic array *56 7rray, 5E20 i.e., a
proton%exchange membrane fuel cell, and storage battery *89 is planned. 5E20 *a
proton%exchange membrane fuel cell is employed as a backup generator unit to give
back the power produced by the discontinuous nature of %5hotovoltaic array. The
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8torage 9attery is incorporated to overcome the difficulty of shortage of power
demand during Islanded operation and to improve crest demands throughout grid
connected operation. In micro grid to organize the distribution of power between
different :; units an energy%management algorithm is designed. The controller
design proposed for the inverters of :; units is 25 ontroller design. 7s The
existing system consists of an 25 ontroller in which the total harmonic distortion
rate is high because its design complexity is high to find out critical values, so the
power quality will be reduced.
0ig "."
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). hapter ) presents in detail about the 7=0I8
(. hapter ( deals with the 27T>79?8I2@>I=A models and esults .
B. In the last chapter conclusion of the thesis are presented. 2oreover, this
chapter gives the outline of the 5ro4ect and 8cope for future.
This chapter covered the motivation behind the thesis work, 8ummary and
how the organization of thesis is carried out
2. SYSTEM DESCRIPTION
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=ow a days, In demand response management large number of consumers are
participated because of increase in smarter electrical facilities like electrical vehicles,
unbalanced systems and smart meters. This pro4ect is on smarter grid through
demand%side management *:82, in which energy reserves and power quality has
improved. These methods make the penetration of renewable generation, such as wind
power and solar power into the grid. The 4oining of renewable energy sources can add
on the generation from the distribution grid. These renewable energy sources are not
constant in their generation and may compromise the consistency and stability of the
distribution network.
To reduce the variability in the renewable sources, energy storage devices are
used such as batteries and ultra capacitors. The inclusion of energy storage devices is
also difficult for organizing demands and deviation in the load requirement. In present
pro4ect, a micro grid composed of a wind turbine, 5E20 i.e.,a proton%exchange
membrane fuel cell ,and storage battery *89 is planned. 5E20 *a proton%exchange
membrane fuel cell is employed as an backup generator unit to give back the power
produced by the discontinuous nature of wind turbine. The 8torage 9attery is
incorporated to overcome the difficulty of shortage of power demand during Islanded
operation and to improve crest demands throughout grid connected operation.
In islanded operation, the function of the 8torage 9attery is to keep up the
power stability in the microgrid which is given by
5:; C5bD5> *"
here,
5:; is the power delivered by the main :; unit
5b is the 8torage 9attery power
5> is the real power delivered to the loads
8torage 9attery power which is sub4ected to the charging and discharging constraints
given by
5bFD 5b,max *&
The energy limitation of the 8torage 9attery is determined based on the state%of%
charge *83 limits which are given as
83min F 83 FD 83max *$
Even though the state%of%charge *83 of the battery cannot be calculated directly, it
can be found by using many estimation methods.
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:uring the micro grid operating in islanded operation from the distribution grid, the
8torage 9attery can operate in the charging, discharging, or idle mode depending on
its 8tate of charge *83 and power of storage battery 5b.
0ig &.". 3peration of the 89 during grid%connected operation.
In grid%connected function, the distribution grid is interfaced to the microgrid
through a circuit breaker *9 at the point of common coupling *5. The function
of the main :; unit is to provide voltage and power for the loads therefore it reduces
the burden of generation and delivery of power directly from the distribution grid.
ith the increasing of power%electronics devices being interfaced to the microgrid,
the load currents might be unclear because of the presence of harmonic components.
The purpose of :; units is also to compensate harmonics in the currents drawn by
nonlinear loads in the microgrid, as a result that the harmonics will not spread to other
electrical networks interfaced to the 5.If the power produced by the main :; unit
is higher than the total load demand in the microgrid, then the surplus power be able
to charge the 8torage 9attery or in4ected into the distribution grid, depending on the
8tate of charge *83 of the 8torage 9attery, as shown in 0ig. &." onversely, power
produced by the main :; unit is less than the total load demand in the microgrid, the
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8torage 9attery can be controlled to attain various energy%management functions
depending on its 8tate of charge *83 and the T3@ *time of use of electricity.
0or the period of off%peak periods as shown in 0ig. &.", when the cost of
generation from the grid is low and if the 8tate of charge *83 of 8torage 9attery is
less than the maximum 83 limit 83max, the 8torage 9attery will be charged by
the grid and the loads will be supplied by the main :; unit and the grid. In peak
periods, when the cost of generation from the grid is high and if the 8torage 9attery
8tate of charge is greater than the minimum 83 limit 83min, the 8torage 9attery
can distribute power to the grid to attain peak sharing.
hen an error occurs on the network of the distribution grid, the function of
the ircuit 9reaker is to cut off the microgrid from the distribution grid. The 8torage
9attery and The main :; unit are the only power sources left to control the loads. In
the case when the generation of the main :; unit is not capable to meet the total load
demand, the 8torage 9attery is necessary to supply for the deficiency in real and
reactive power to uphold the stability and power balance of the microgrid as shown in
0ig. &.&. hen the total load demand greater the generation capability of the main :;
unit and the 8torage 9attery, the 528 detects a reduction in the system frequency and
load shedding for noncritical loads. It is necessary to restore the system frequency and
uphold the stability of the microgrid.
0ig &.&. 3peration of the 89 during islanded operation.
Inmicro grid to organize the distribution of power between different :; units
an power%management algorithm is designed. The controller design proposed for the
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inverters of :; units is 7=0I8 ontroller design. This reduces the design complexity
as the logical operations are performed to find out critical values, the power quality
such as harmonic compensation for nonlinear loads of the distribution system will be
improved.This pro4ect provides a complete solution for the function of a micro grid
which will send out a current and voltage concurrently during both islanded and grid%
connected operations.
0ig &.$
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2.1.1. Feat!e" #$ W%&' P#(e! S)"te*
There are some individual energy features of wind power systems. The
ma4ority wind power sites are located in island, marine or rural areas. Energy
necessities in such places are unique and do not want the high electrical power. 7
power system with varied quality supplies can be a fine match with total. ;rid
systems in ural area are probable to be weak *voltage around $$ A6. Interfacing
weak grids to ind Energy onversion 8ystem *E8 is difficult and harmful to
the workersG safety. There are few periods without wind. Thus, to maintain a power
supplies E8 have to be interfaced to energy storage or parallel generating system.
2.1.2. P#(e! $!#* t+e W%&'
In the wind turbine to rotate the generator Ainetic energy produced by
the wind is used to generate electricity. There are a number of factors that influence
the effectiveness of the wind turbine in extracting the power from the wind. 0irstly,
the speed of the wind is one of the significant factors to determine how much power
can be extracted from the wind. This is due to the power generated as of the wind
turbine is a function of the cubed of the wind speed. Thus, if the wind speed tripled,
the power generated will be enhanced by nine times the original power. Then
secondly, site of the wind farm plays an significant role for the wind turbine to extract
the ma4ority existing power form the wind. The next significant reason of the wind
turbine is the rotor blade. The length of the rotor blades in wind turbine is one of the
significant aspects of the wind turbine because the power generated from the wind is
proportional to the rotor blades swept area. If the diameter of the swept area is
doubled, the power generated will be improved by four times. 8o the rotor blades to
be strong, durable and light. 7s the length of the blade increases, the qualities of rotor
blades become more intangible. 9ut with the current advance technologies in carbon%
fiber and fiber glass technology, the manufacture of less weight and tough rotor blades
between &' to $' meters long is achievable. ind turbines with the size of these rotor
blades are able to generate up to " megawatt of power. The association between the
powers generated by the wind source and the speed of the wind and the swept
diameter of rotor blades is shown below.
5 DH?1d:&6$wind
2.1.3A',a&ta-e" #$ W%&' #(e! /a&t"
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Improving price competitiveness
2odular installation
apid onstruction
Improved system reliability
=on%5olluting
omplementary generation
2.1.4 T+e D#0/)$e' %&'t%#& -e&e!at#! (%&' t!0%&e
:0I;T *The :oubly%fed induction generator wind turbine was shown in
the fig &.). The the grid%side converter *grid and rotor%side converter *rotor are the
two components of the 7?:?7 converter. 6oltage%8ourced onverters are grid
and rotorthat use forced%commutated power electronic devices *I;9Ts to convert the
: voltage source to 7 voltage. The : voltage source is the capacitor associated
on the : side. grid is connected to the grid through the coupling inductor > . The
rotor is connected to three%phase rotor winding by sliprings and brushes and the three%
phase stator winding is directly 4oined to the grid. The induction generator converts
power *captured by the wind turbine into electrical power and the stator and the rotor
windings transmits this electrical power to the grid. The pitch angle command and the
voltage command signals 6rand 6gcare generated by the control system for rotorand
gridrespectively in order to control the wind turbine power, the reactive power or the
voltage at the grid terminals and the : bus voltage.
0ig &.)< 3perating 5rinciple of the :oubly%0ed Induction ;enerator wind turbine
8ystem
In this figure the followings parameters are used D I> D I % Iswitch
D I % :I>
I>D
The : component of voltage across the inductor has to be zero if losses are
neglected. The average voltage across the inductor is given byD "?T * C D '
D"?T *6s:TC *6s%vo *"%d TD'
7fter solving we getower
C#/' "ta!t8 Ses =o
Wate! *a&a-e*e&t omplex =one
Table &.&< :ifferences among the low temperature and high temperature 5E20
variants
2.9 POINT OF COMMON COUPLING
The 5 is a point in the electrical system where multiple customers or
multiple electrical loads may be connected. 7ccording to IEEE%("-, this should be a
point which is accessible to both the utility and the customer for direct measurement.
7lthough in many cases the 5 is considered at the metering point, service entrance
or facility transformer, IEEE%("- states that within an industrial plant, the 5 is the
point between the non%linear load and other loads.U It will generally be easier to meet
harmonic distortion limits when the 5 is considered at the metering point, facility
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nature of sinusoidal such that it does not disturb the waveform *0ig &."&. 2ost
household appliances are classified as linear loads. =on%linear loads will draw a
current that is not exact sinusoidal *0ig &."$. 8ince the current waveform departs
from a sine wave, noises in voltage waveform are created.
0ig &."&< Ideal 8ine wave
0ig &."$< :istorted aveform
7s can be seen from the waveform in 0igure $, waveform distortions can significantly
modified the form of the sinusoid. /owever, no matter the level of difficulty of the
fundamental wave, it is in fact 4ust a composite of multiple waveforms called
harmonics.
/armonics have different frequencies that are multiples of the waveformGs
fundamental frequency. Thus, harmonic distortion is the degree to which a waveform
changes from its pure sinusoidal values. 7s a effect of the summing up of all these
harmonic elements. The perfect sine wave has nil harmonic components Total
harmonic distortion, or T/:, is the summing up of all harmonic components of the
current or voltage waveforms compared against the fundamental component of thevoltage or current wavei%ion batteries
L%t+%*%#& 0atte!%e"
>ithium is an attractive material for battery technology as it has a higher reduction
potential and lighter weight V-$W. echargeable >i%ion batteries are commonly found
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in consumer electronic products, comprising most of the global generation volume of
"' to "& ;iga%watt hours per year V-$W. These batteries are widely used in plug%in
hybrid electric vehicles *5/E6 and electric vehicles *E6. ompared to the long
history of lead%acid batteries, >i%ion technology is relatively new. It is expected that
the E6 and energy storage market will substantially benefited from advancements in
>i%ion battery technology. The high energy density and relatively low weight results
in a viable choice for electric vehicles and other applications where space and weight
are important. ;iven their long cycle life and compactness, higher roundtrip energy of
1( M -'+ V-(W, >i%ion battery manufacturers may be used for various utility grid%
support applications including distributed energy storage systems at community scale,
commercial end%user energy management, home back%up energy management
systems, frequency regulation and wind and photovoltaic power smoothing
applications.
F/#( 0atte!%e"
7 flow battery is a rechargeable battery where electrolyte containing one or more
dissolved electro%active species flow through an electrochemical cell which converts
chemical energy to electricity . 6anadium redox battery technology is one of the most
mature flow battery systems available, with an expected life of about "( years.
/owever, the physical scale of this battery is mainly due to the large volume of
electrolyte required when sized for utility%scale pro4ects. 0low batteries are an
attractive energy storage option for the grid because of their ability to store a large
amount of energy with a potentially longer life%cycle. /owever, such technology is
still young, with an associated cost barrier. 2oreover, the presence of active species in
the anode and cathode electrolytes may lead to efficiency loss and contamination.
S#'%* "/$! 0atte!%e"
The sodium sulfur battery possesses high energy and power density and electrical
efficiency. Its long life results in an excellent choice for electric power system
applications. 8ulfur is used as an active material at the positive electrode and sodium
is used at the negative electrodes. Electrodes are separated by sodium%ion%conductive
ceramic solid electrolyte. /igh temperature maintains the electrode active materials in
a liquid state while the electrode is solid. This reduces resistance and enables efficient
battery performance averaged over lifetime discharge.
Se!aa%t#!"
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8uper%capacitors are devices that store electrical energy as charge separation in porous
electrodes with large surface areas. 8ome key benefits of ultra capacitors include
highest capacitance density of any capacitor technology, low cost per farad, reliable,
long life, high cycle%life, maintenance%free operation, environmentally safe, a wide
range of operating temperatures high power density and good energy density. 3f these
features, the greater power and energy densities bridge the gap between standard
batteries and traditional capacitors for high%power, short%duration energy storage. 7s a
result, they are widely used in utility applications for transmission line stability,
spinning reserve, frequency control, voltage regulation, power quality and
uninterruptible power supply applications.
2.;.2 Me+a&%a/ E&e!-) St#!a-e
5umped hydro, compressed air energy storage and flywheels can be classified as
mechanical energy storage.
P*e' +)'!#
5umped hydro electric storage is the oldest, most widespread commercially available
energy storage technology. 8uch schemes consist of two large reservoirs at different
levels with a store of water. 3ff%peak electricity is used to pump water up to the top
reservoir, which can then be discharged as required, typically to a lower reservoir at
the other end of a height differential. This flow of water drives turbines in the same
way as hydro%electric dams. The technology can provide reliable power at short
notice, typically within one minute, with efficiency in the range of #'%1(+ . 3verall
the technology is one of the most mature on the market and further technological
advances are considered unlikely. 5umped hydro is the main form of energy storage
globally and has been used since the "1-'s. There is approximately -'; of pumped
storage in operation worldwide, accounting for $+ of global generation capacity V-BW.
7 limiting factor is the large capital costs involved in construction *although cost is
highly dependent on local topography and other factors.
F/) (+ee/
0lywheels represent a mechanical form of energy storage in which the kinetic energy
of a fast%spinning cylinder contains stored energy. ecent technological advances of
fly%wheel have improved the efficiency of the traditional flywheel V-$W. 2odern
flywheel systems are typically comprised of a massive rotating cylinder, supported on
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a stator by magnetically levitated bearings that eliminate wear and extend system life.
To increase efficiency, the flywheel is operated in a low pressure environment to
reduce air friction. This energy storage system draws electricity from a primary source
to spin the high density cylinder at speeds greater than &',''' rpm. hen the primary
source loses its power, the motor acts as a generator. 7s the flywheel continues to
rotate, this generator supplies power to the grid. 0lywheels have a high energy density
of (' M "'' h?kg and an efficiency of around -'+, depending on the flywheelGs
speed range . ith no chemical management or disposal to consider, flywheels have
certain environmental advantages over battery systems.
C#*!e""e' a%! e&e!-) "t#!a-e
In compressed air energy storage system *7E8, air is compressed into underground
mines or caverns by using off%peak electricity, which improves the efficiency of the
gas turbine. hen required, the compressed air is utilized in con4unction with a gas
turbine to generate electricity, resulting in gas consumption reductions of B'+ relative
to the same amount of electricity generation directly from gas. ompressed air energy
storage can be integrated with a wind farm in order to store additional power during
high wind conditions. The energy efficiency of 7E8 is around 1'+. The availability
or generation of large underground storage spaces can have possible environmental
impacts, and constraint on this technology is constrained by the
absence of suitable locations for underground air storage.
2.;.3 E/et!#*a-&et% "t#!a-e
Se!#&'t%&- *a-&et% e&e!-) "t#!a-e
8uperconducting magnetic energy storage *82E8 can store electrical energy
in a magnetic field within a cooled super%conducting coil. The coil is cooled beyond
its superconducting temperature *%&B-o, where the resistance of the material is very
low. This limited electrical resistance allows 82E8 to achieve high efficiency of up to
-#+. 8ince the 82E8 can release immediate energy, It is useful where customers
require an extremely high quality power output. 7s the 82E8 is currently undergoing
research and development, very limited information available regarding costs.
Extremely low temperatures are required for the superconducting system, representing
a safety issue. >arger scale 82E8 systems could require significant protection to deal
with magnetic radiation in the immediate vicinity.
2.;.4 H)'!#-e& E&e!-) St#!a-e
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/ydrogen%based energy storage systems are currently receiving considerable
attention due to the long period over which hydrogen can be stored, and owing to the
potential hydrogen holds for replacing petroleum products as the energy carrier for the
transport sector. hen coupled with a renewable energy source or low carbon energy
technology, hydrogen energy storage has the potential to reduce greenhouse gas
emissions. The essential elements of a hydrogen storage system consist of an
electrolyzer unit, to convert electrical input to hydrogen during off%peak periods, the
storage component and an energy conversion component to convert the stored
chemical energy into electrical energy when demand is high or for use in
transportation systems.
The electrolyzer and fuel cell components can be dedicated or reversibleU filter denoted by fi and >fi to abolish the high
switching frequency harmonics produced by the :; inverter.
0ig $." and $.& show the equivalent single%phase illustration of the :; inverters for
islanded%connected and grid%connected operation.
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0ig. $.". Equivalent :iagram for single%phase of the :; inverters for grid connected
operation.
0ig. $.&. Equivalent :iagram for single%phase of the :; inverters islanded operation.
The resistance 4reflects the loss of the :; inverter. Total load current i> is
the summing of the currents given to the load k * kD", &, $, is represented by
and also it can be divided as two components composed of harmonic and
fundamental frequency with amplitudes and and is represented by
where Y>h and Y>f are the phase angles of the harmonic components and fundamental
components of i>and i>f,pand i>f,q are the instant fundamental phase and quadrature
components of i>. To attain unity power factor on the grid side, 9alance for the
harmonics in the load currents and simultaneously attain load sharing, :; unit of the
inverter supplies a current i:;4.
i:;4 D *i>f,p%igC i>f,qC i>h
where igis the grid current. 7s shown in 0ig.$.", the utility substation supplies the
voltage to a distribution grid represented by a voltage source 6gduring grid%connected
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operation, and is interfaced to the microgrid and to the loads through a distribution
line with inductance >l and resistance >.
:uring the grid%connected operation, the grid voltage is identified and the
microgrid shares the load requirement with the grid. /ence, to manage the power
delivered to the loads, by using the 2 *current control mode the :; inverter
output current is controlled.
0or the duration of islanded operation, the total load requirement will be
supplied by microgrid as shown in 0ig. $.&, and by using 62 *6oltage control
mode it is necessary that the output voltage can be regulated to a pure sine wave
with a fixed magnitude.
To obtain a state%space model for the :; inverter through both grid%connected
operation and islanded operations, AirchhoffGs current and voltage laws are applied to
the current loop as shown in 0ig. $.$,
0ig $.$. 8ingle%phase illustration of the nth :; inverter inIslanded and grid%connected
operations.
where i4 is the current passing through >fi. therefore, the grid interfaced :; inverter
model can be define as
where the subscripts g and 4 represent the model of :; inverter 4 during grid%
connected operation *4D", &,$ and
7g4 D
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g4D" Z :g4"D V '%f4WZ :g4&D'
[g4Di4is the stateZ64GDVv:;4 d v:;4?dtW
Tis the exogenous input. u4is the control input,
with%"FDu4FD"Z and yg4Di:;4is the output.
hile islanded operation, due to the microgrid power disparity the frequency
will differ. 528 will detect the changes in frequency in microgrid, such that 528 is
used to manage and monitor power dispatch by each :; unit. the change in
frequency will be detected by 528 then the 528 will have need of the main :; unit
and the 8torage 9attery to produce the essential power to meet up the overall load
demand in the microgrid as shown in the flowchart of 0ig. &.&, such that *" is
satisfied. In islanded operation, it follows from *# and *1 that :; inverter can be
modelled as
where the subscript i denotes the model of the :; inverter 4 during islanded operation
*4D" , & and
with fGD\&4D"f4 Z xi4DVi4 6:;4W
Tis the state vectorZ
iG4Di>%\n]4in is the exogenous input of the :; inverter
4Z u4is the control input, with %"FD u4FD"and
yi4DV6:;4 i:;4 WT is the output, which will be regulated to find the needed reference
waveform. =ote that even though the importance is on the voltage 6:;4. To ensure that
the power is delivered by using 62 6:;4and i:;4will be regulated. 2oreover it is
believed that the exogenous input i4G in the model is not straightly measurable by the
:; inverter because it involves quantities outside that inverter. specifically, i4Gis the
addition of all load currents minus the addition of all infrom the other :; inverters n
] 4 in the microgrid.
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4. ANFIS
4.1 INTRODUCTION
The idea of fuzzy logic and artificial neural network for
organize problems has been grown in recent years. The motive is that the traditional
control theory frequently requires a mathematical model for designing the controller.
The inexactness of mathematical modeling generally degrades the performance of the
controller, particularly for complex and nonlinear control problems. The introduction
of the neural controllers and fuzzy logic controllers *0> based on multi layered
neural networks has motivated new resources for the possible understanding of
improved and high efficient control. In latest years, the combination between fuzzy
logic and neural network that is fuzzy neural network *0== has been pro4ected and
developed. ;enerally the multiplexing of fuzzy logic and neural network is known as
7=0I8 *7daptive =euro 0uzzy Inference 8ystem. =eural system has numerous
inputs and also has many outputs but the fuzzy logic has numerous inputs and only
one output, so the integration of this two is know as 7=0I8 which is used for
nonlinear applications.
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T%8 fuzzy model was planned in"-1( by Takagi and 8ugeno .>ater on it is
known as 8ugeno fuzzy model. It is a nonlinear model. 8ugeno fuzzy model can
appropriately state the dynamic characteristic of complex systems. in addition,
8ugeno fuzzy model is the fuzzy inference model that is in the most common use. 7
usual fuzzy rule in this model has the following format$?/=*@
here > ^ 2 are fuzzy set antecedent, _Df*x,y is a crisp function in the onsequent.
>et us suppose the fuzzy inference system consist of two inputs x, y with one
output. If the rule base consists of two fuzzy if%then rules of Takagi and 8ugeno!s
type then it is represented as given belowogic. 2any inputs are applied to the neural network
depending upon the inputs the neural network has some standard output, so depending
upon the input and the output the neural network is trained, after training the neural
network the output is applied to the fuzzy logic which generates the I0 T/E= rules
and membership functions.
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0ig ).&< 7=0I8 23:E>
. SIMULATION STUDIES
.1 INTRODUCTION TO MATLA5
The name 27T>79 refers to 27Trix >79oratory. 27T>79 was written at
first to afford uncomplicated access to matrix software designed by the >I=57A
*linear system package and EI857A *Eigen system package pro4ects. It is a high%
performance language for technical calculations. It is a combines visualization,
computation, and programming environment. 2oreover, 27T>79 is a contemporary
programming language environment< it has complicated data structures, debugging
tools, built%in editing and supports ob4ect%oriented programming. These reasons make
27T>79 an outstanding tool for research and teaching. 27T>79 has a lot of
advantages over the conventional languages *e.g., , 03T7= for solving
technical efforts. 27T>79 is an interactive system whose basic data element is an
array which do not require dimensions.
It has influential incorporated routines which allow a large range of
computations. In addition to it 27T>79 includes effortless graphics commands
which build the visualization of outputs instantly available. 0ew applications are
gathered in packages known as toolbox.
.1.1 SIMULIN
8imulink is a software add%on to matlab which is a mathematical tool designedby The 2ath works, 2atlab is powered by wide%ranging numerical investigation
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ability. 8imulink is used to program visually a system *those governed by :ifferential
equations and look towards results. 8imulink >ibraries has a standard building block
which is used to build logic circuits or control system for a dynamic system. It
contains a range of toolboxes for wide range of techniques, such as =eural =etworks,
0uzzy >ogic, signal processing, 8tatistics etc. are accessible with 8imulink, which
improve the processing power of the tool. The most important advantage is the
accessibility of building blocks, which keep away from the necessity of typing code
for mathematical processes.
8imulink is an interactive tool for modeling, simulating, and analyzing
dynamic systems, including controls, signal processing, communications, and other
complex systems. The version of 8imulink included in 27T>79 ^ 8imulink 8tudent
6ersion provides all of the features of professional 8imulink, with model sizes up to
"''' blocks. It gives you immediate access to the high%performance simulation power
you need. 8imulink is a key member of the 27T>79 family of products used in a
broad range of industries, including automotive, aerospace, electronics,
environmental, telecommunications, computer peripherals, finance, and medical.
2ore than one million technical professionals at the worldGs most innovative
technology companies, government research labs, financial institutions, and at more
than $('' universities, rely on 27T>79 and 8imulink as the fundamental tools for
their engineering and scientific work.
.2 SIMULATION RESULTS
The micro grid is experienced under various conditions to estimate its
capabilities during grid connected and islanded operations from the distribution grid.
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0ig (."< configuration of the proposed micro grid architecture.
Three types of loads containing of linear and nonlinear loads are measured in
these conditions. 0or load ", a "(%k67 three%phase 52 ad4ustable speed drive
*78: with its configuration as shown in 0ig.(.& is used and load & is made up of a
three%phase > load rated at 5>&D&1 k and >&D"1.( k67r. >oad $ is a noncritical
three%phase dimmer load rated at5>$D "1 k and >$D"&.$ k67r, which is
nonlinear in nature and will be shed under emergency conditions when the generation
of the microgrid is unable to meet the load demand. The system parameters are given
in Table (.".
0ig. (.&. onfiguration of a "(%k67 three%phase 78: .
Pa!a*ete! Va/e
D%"t!%0t%#& -!%' ,#/ta-e V->23BV
DC /%&6 ,#/ta-e V'>4BBV
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D%"t!%0t%#& L%&e I*e'a&e R/>B.BB9= L/>2.9H
LC F%/te! L$>1.2*H= C$>2B H
DG I&,e!te! /#"" !e"%"ta&e R $>B.B1
Table (." 5arameters 3f The 5roposed 8ystem
Te"t Ca"e 1 I*!#,e*e&t O$ a/%t) #$ a #(e! D!%&- G!%'C#&&ete'
Oe!at%#&
0ig (.$< simulation 2odel during grid connected 3peration
The first case shows the ability of the micro grid to enhance the power quality
of the distribution network by compensating for the harmonics in the total load
current i>. 7s the nonlinear loads are interfaced to the distribution network, such that
the harmonics will not spread to the rest of the distribution network in grid%
connected operation. The 8torage 9attery is working in the charging mode to
accumulate energy in off%peak period where the cost of generation from the grid is
short to meet up future unexpected demands for power. The 8torage 9attery current
iband the 83 during charging for 'Q t F '.Bs are shown in 0ig.(.B. The waveforms
of the total load current i>, the current given by the main :; unit i:;and grid current
ig in this case are shown in 0ig. (.). The per%phase currents i> ", i>& and i>$drawn by
loads ", &, and $ for 'Q t Q '.B s are shown in 0ig. (.(.
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0ig. (.). three%phase three%phase :; current i:; *top, load current i>*middle, and
three%phase grid current ig*bottom :uring ;rid onnected 3peration.
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0ig.(.(. 5er%phase currents drawn by loads ", &, and $ :uring ;rid onnected
3peration.
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0ig.(.B< aveform of the 89 current during charging :uring ;rid onnected
3peration.
0ig.(.#
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ANFIS Strategy For Wind/Fuel Cell Power Management System In a Micro Grid
0ig (.1 < ave forms of ;rid 6oltage and urrent :uring ;rid onnected 3peration.
0ig (.-< The total harmonic distortion *T/: value of load current i>using 7=0I8
The total harmonic distortion *T/: value of load current i>is &-.'&+
as shown in 0ig. (.-. ith the 7=0I8 controller T/: value of is improved to about
")+ when compared to previous methods *25 ontroller as shown in fig.(."'
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0ig (."' < The total harmonic distortion *T/: value of load current i>using 25
ontroller
Te"t Ca"e 2 L#a' S+e''%&- D!%&- I"/a&'e' Oe!at%#&
0ig (.""< simulation 2odel during Islanded 3peration
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In islanded operation, the total generation power of the micro grid may not be
able to maintain its generation to meet up the power requirement of the loads. :uring
such conditions, consumers will permit the non%critical load to be discarded so as to
keep the constant function of the micro grid. The second test case shows the function
of the microgrid which is islanded from the grid. In this case, the microgrid is
primarily functioning in the grid%connected mode for ' Q t F '.& s. The 8torage
9attery is primarily functioning in the idle mode and its 8tate of charge is 1'+. 7s an
error occurs on the network of the distribution grid, the ircuit 9reaker function is to
disconnect the microgrid from the distribution grid at tD '.& s.
0ig. (."& the waveforms of the real and reactive power supplied by the grid.
The ircuit 9reaker manages to separate the microgrid from the distribution grid,
ensuing in zero real and reactive power delivered by the grid for '.&Q t F '.Bs. The
real power given by :; inverter & of the 8torage 9attery is shown in 0ig. (."&.
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0ig (."$< 5ower delivered by 8torage 9attery during Islanded 3peration.
' Q t F '.&s, the 8torage 9attery is in the idle mode. 7fter the beginning of the
islanding operation at tD '.& s, the :; inverter & is tasked by the 528 to enhance its
generation to offer real power of about ) k to the loads.
0ig (.") < aveforms of ;rid urrent :uring Islanded 3peration
0ig (.") shows the grid current during islanded operation in which the grid current is
supplied to the loads till '.&s then between '.&Q t F '.Bs the current reduces to '
because the grid will get disconnected and it is operated in Islanded operation
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CONCLUSION AND FUTURE SCOPE
CONCLUSION
In this Thesis, an 7daptive =euro fuzzy Interface control system coordinates
the operation of multiple :; inverters in a micro grid for grid%connected and islanded
operations has been presented. The proposed controller for the :; inverters is
predicated on an incipiently developed 7=0I8 in order to reduce the overall
computation time. The control design is to extract the harmonic spectra of the load
currents and to engender the compulsory references for the controller. The :;
inverters can compensate for load harmonic currents in a homogeneous way as
conventional compensators, such as active and passive filters, and, hence, no
adscititious equipment is required for power%quality amelioration.
To realize the perspicacious grid concept, an assortment of 5ower%
management functions, such as peak shaving and load shedding, have additionally
been demonstrated in the simulation studies. The results have validated that the micro
grid is able to handle different operating conditions efficaciously during grid%
connected and islanded operations, thus incrementing the overall reliability and
stability of the micro grid. The entire proposed system will be tested using
27T>79?8I2@>I=A and the simulation results demonstrate the attractive
performance characteristics of the proposed system.
FUTURE SCOPE
. The proposed controller i.e. 7=0I8 for the :; inverters is
utilized rudimentary 5ulse width 2odulation technique, it can reduces the higher
order harmonics only, that can be elongated to urrent ontrol loop so that, we can
reduce the lower order harmonics also.