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    Unit Commitment

    5.1 INTRODUCTION

    BecaUSe

    human activity follows cycles,most systems supplying services to a

    large

    population will experience cycles. This includes transportation systems,

    communication

    systems, as well as electric power systems. In the case of an

    electric

    power system, the total load on the system will generallybe higher

    during

    the daytime and early evening when industrial loads are high, lights areon,

    and so forth, and lower during the late evening and early morning when

    most

    of thepopulation is asleep. In addition, the use of electricpower has

    aweekly

    cycle, the load being lower over weekend days than weekdays. But why

    isthisa

    problemin the operation of an electricpower system?Why notjust

    simply

    commit enough units to cover the maximum system load and leave them

    running?

    Note that to "commit" a generating

    unit is to "turn it on;" that is,

    tobringthe unit up to speed, synchronizeit to the system,and

    connect it so

    itcandeliverpower to the network. Theproblem with "commit enough unitsand

    leavethem on line" is one of economics.As willbe shown in Example 5A,

    it isquite expensive to run too many generating units. A great deal

    of money

    can

    be savedby turning units off (decommitting

    them) when they are not

    needed.

    EXAMPLE 5A

    Suppose

    one had the three units given here:

    Unit

    l:

    Unit 2:

    Unit 3:

    Min = 150MW

    Max = 600MW

    HI= 510.0

    + 7.2P1

    +

    Min 100MW

    Max - 400

    MBtu/h

    H2 310.0+ 7.85P2+ 0.00194203

    MBtu/h

    Min = 50 MW

    Max=000 MW

    780+ 7.97P3+ 0.00482P; MBtu/h

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    132 UNIT COMMITMENT

    INTRODUCTION1200 133

    with fuel costs:

    Fuel costl = 1.1R/MBtu

    Fuel cost2 = 1.0 R/MBtuTotal

    Fuel cost3

    - 12

    . R/MBtu load

    500

    If weare to supply a load of 550MW,what unit or combination Ofunits should

    be usedto supply this load most economically?To solve thisproblem, simply

    try all combinations of the three units. Some combinations

    willbe infeasibleifthe sum of all maximumMW for the units committed is less than the load

    if the sum of all minimum MW for the units committed is greater than the

    load. For each feasiblecombination, the units will be

    dispatched using thetechniquesof Chapter 3. The results are presented in Table 5.1.

    Note that the least expensive way to supply the generation is not withallthreeunits running,or even any combination involving two units. Rather, theoptimumcommitmentis to only run unit 1, the most economic unit. Byonlyrunning the most economic unit, the load can be supplied by that unit Operatingcloser to its best efficiency. If another unit is committed,both unit I and theother unit will be loaded further from their best efficiencypoints such that thenet cost is greater than unit 1 alone.

    Suppose the load followsa simple "peak-valley" pattern as shown in Figure5.la. If the operation of the system is to be optimized, units must be shut downas the

    load goes down and then recommitted as it goesback up. We wouldlike to know which units to drop and when. As we will show later, thisproblemis far from trivial when real generating units are considered. One approach tothis solution is demonstrated in Example 5B,where a simplepriority list scheme

    is developed.

    TABLE5.1 Unit Combinationsand Dispatch for 550-MW Load of Example 5A

    4 PM 4 AM

    1200

    MW

    Total

    load

    Time of dayFIG. 5.1a Simple "peak-valley" loadpattern.

    Unit 3Unit

    3

    Unit2Unit 2

    Unit I

    4 AMTime of day4 PM

    Off OffOff OffOff

    Off OnOn OffOn Off

    On OnOn On

    Off

    On

    Off

    On

    Off

    On

    Off

    On

    Infeasible200

    400

    600

    600

    800

    '1000'

    1200

    50

    100

    150

    150

    200

    250

    Infeasible

    Infeasible

    300 267

    0

    550

    500295

    400

    o255

    150

    o

    50o

    05389

    49113030

    3760

    o

    o'2440

    1658

    o

    5860

    3418

    5389

    54975471

    233 50 2787 2244 586 5617

    FIG. 5.1b Unit commitment scheduleusingshut-down

    rule.

    EXAMPLE

    5B

    Suppose

    we wish to know which units to drop as a functionof system

    load.Let

    theunits and fuel costs be the same as in Example 5A, with the load varyingfrom

    apeakof 1200 MW to a valley of 500 MW. To obtain a "shut-downrule,"Simply

    use a brute-force technique wherein all combinations of units willbetned

    (asin Example 5A) for each load value taken in stepsof 50MWfrom1200

    to 500. The results of

    rule

    applying

    is quite

    this

    simple.

    brute-force techniqueare givenin

    Table

    5.2.Our shut-down

    When

    load is above 1000 MW, run all three units;between

    1000

    MW

    and

    600MW, run units 1 and 2;below 600 MW, run onlyunit 1.

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    INTRODUCTION135

    134 UNITCOMMITMENT

    and lossesbeing supplied. Spinning reserve mustbe carried so that

    load

    ofone ormore units does not cause too far a drop in systemfrequencyTABLE 2 "Shut-down

    Rule" Derivation for

    Optimum

    Example

    Combination

    5B

    Unit 2Unit I

    Load

    h

    apter9).Quite simply, if one unit is lost, there mustbe amplereserve

    c

    Other

    units to make up for the loss in a specified

    timeperiod.Unit 3 reserve must be allocated to obey certain

    rules, usuallysetbyOn

    1200On

    1150On

    1100On

    1050On

    1000On

    950 On

    850 On

    800 On

    750 On

    700 On

    650 OnOn

    550 OnOn

    On

    On

    On

    On

    On

    On

    OnOnOn

    On

    On

    On

    Off

    Off

    Off

    On

    On

    On

    On

    Off

    Off

    Off

    Off

    Off

    Off

    Off

    Off

    Off

    Off

    Off

    Figure5.1bshows the unit commitment schedule derived from this shut-down

    rule as applied to the load curve of Figure 5.1a.

    So far, we have only obeyed one simple constraint: Enough units will be

    committed

    to supply the load. If this were all that was Involved in the unitcommitmentproblemthatis,just meeting the loadwe could stop here andstate that the problem was "solved." Unfortunately, other constraints and other

    phenomena must be taken into account in order to claim an optimum solution.These constraints will be discussed in the next section, followed by a descriptionof some of thepresently used methods of solution.

    51.1 Constraints in Unit Commitment

    Many constraints canbeplaced on the unit commitment problem. The listpresented here isby no means exhaustive. Each individual power system, powerpool, reliabilitycouncil, and so forth, may impose different rules on thescheduling

    of units, dependingon the generation makeup, load-curve charac-teristics, and such.

    51.2 Spinning Reserve

    Spinning

    reserveis the term used to describethe total amount of generatiOnavailable

    from all units synchronized(i.e.,spinning) on the system, minus the

    sPinning

    ven

    percentageofforecasted peak demand, or that reservemustbe capable

    of

    making

    up theloss of the most heavily baded unit in a givenperiod of time.

    Others

    calculatereserve requirements as a function of theprobabilityof not

    having

    sufficientgeneration to meet the

    loadNot

    only must the reserve be sufficient to make up for a generation-unit

    failure,

    but the reservesmust be-allocated among fast-respondingunits and

    slow-responding

    to

    units.

    restore

    This

    frequency

    allows the

    andautomatic

    interchangegeneration

    quicklyincontrolthe event

    systemof aChapter

    9)(see

    generating-unit

    Beyond

    outage.

    reserve, the unit commitment problem may involve various

    spinning

    classes

    of "scheduled reserves" or "off-line" reserves. These include quick-start

    diesel

    or gas-turbine units as well as most hydro-unitsandpumped-storage

    hydro-units

    that can be brought on-line, synchronized,and brought up to full

    capacity

    quickly. As such, these units canbe "counted" in the overallreserve

    assessment,

    as long as their time to come up to full capacity is taken into

    account.

    Reserves,

    finally, must be spread around the power system to avoid

    transmission

    system limitations (often called "bottling" of reserves)and to

    allow

    variousparts of the system to run as "islands," should theybecome

    electrically

    disconnected.

    EXAMPLE 5C

    Suppose

    a power system consisted of two isolated regions:a westernregion

    and

    an eastern region. Five units, as shown in Figure5.2,havebeencommitted

    tosupply3090 MW. The two regions are separatedby transmission tie lines

    that

    can together transfer a maximum of 550MWin eitherdirection

    This is

    also

    shoun in Figure 5.2. What can we say aboutthe allocationof spinning

    reserve

    in this system?Thedata for the system UinFigure 5.2 are

    given in Table 5.3.With the

    exception

    of unit 4, the loss of anythissystem canbe

    coveredby the

    spinning

    reserve on the remaining units. Unit 4presentsaproblem,however.

    Ifunit4 were to be lost and unit 5 wereto be run to its

    maximum of 600 MW,

    the

    easternregion would still need 590 MW to coverthe

    load in that region.

    The

    590MW would have tobe transmittedover the tie lines

    from the western

    region,

    which can easily supply 590MW from its

    reserves.However,the tie

    capacity

    of only 550 MW limits thetransfer. Therefore,

    the loss of unit 4cannot

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    136 UNITCOMMITMENT

    Units550 raw 4 and 5

    Units maximum1. 2, and 3

    Eastern region

    Western region

    FIG. 5.2 Two-regionsystem.

    TABLE Data forthe System in Figure

    5.2

    Regional

    Unit

    Capacity

    Region Unit (MW)

    Western 1 1000

    2 800

    3 800

    Eastern 4 1200

    5

    UnitOutput

    420

    420

    1040

    310

    Genera-

    tion

    1740

    1350

    3090

    SpinningReserve

    100

    380

    380

    160

    290

    1310

    Regional

    Load

    1900

    1190

    3090

    Inter.

    charw

    160 in

    160 out

    Total4400 3090

    be coveredeventhough the entire system has amplereserves. The only solution

    to thisproblemis to commitmore units to operate in theeastern region.

    5.1.j Thermal Unit Constraints

    Thermal units usually

    require a crew to operate them, especially when turned

    on and turned off. A thermal unit can undergo only gradual temperature

    changes,and this translatesinto a time period of some hours required tobring

    the unit on-line.As a result of such restrictions in the operation of a thermal

    plant, variousconstraints anse, such as:

    Minimum

    up time:once the unit is running, it should not be turned Off

    immediately.

    Minimum

    downtime:once the unit is decommitted, there is a minimumtimebeforeit canbe recommitted.

    INTRODUCTION137constraints: if a plant consists of two or moreunits,theycannot

    turned

    on at the same time since thereare not enough

    crewmembers

    to attend both units whilestartingup

    because the temperature and pressure of the thermal unit must

    ddltion,

    and

    ISstart-up cost

    can vary from a maximum "cold-start" valueto a muchThe

    value ifthe unit was only turned off recently and is still relativelyclose

    tooperatingtemperature. There are two approaches to treating a thermal unit

    during

    Its downpenod. The first allows the unit's boiler to cool down and then

    h

    eat

    backup tooperating temperature

    In time for a scheduledturn on. Thesecond

    (calledbanking)requires that sufficient energy be input to theboiler to

    just

    maintainoperating temperature. The costs for the two canbe compared

    sothat,ifpossible,the best approach (cooling or banking) canbe chosen.

    Start-up cost when cooling= Cc(l

    where

    Cc

    = cold-start cost (MBtu)

    F = fuel cost

    Cf = fixed cost (includes crew expense, maintenance expenses)(in R)

    = thermal time constant for the unit

    t = time (h) the unit was cooled

    Start-up cost whenbanking= Ct x t x F + Cfwhere

    Ct= cost (MBtu/h) of maintaimng unit at operating

    temperature

    Up to a certain number of hours, the cost ofbanking willbeless than the cost

    of

    cooling,

    as is illustrated in Figure 5.3.

    Finally,

    the capacity limits of thermal units may changefrequently,

    due to

    maintenance

    or unscheduled outages of various equipmentin theplant; this

    must

    alsobe taken into account in unit commitment.

    5.1.4 Other Constraints

    5.1.4.1Hydro-Constraints

    Unitcommitment cannot be completelyseparated from the

    schedulingof

    hydro-units.

    In this text,' we will assume that the hydrothermal

    scheduling

    (or

    COOrdination")problem can be separatedfrom the unit

    commitmentproblem.

    We,Of

    course, cannot assert flatly that ourtreatment in this

    fashion will always

    result

    in an optimal solution.

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    138 UNIT COMMITMENT

    Start-upcost Cooling

    Banking

    1 2 3 4 5 h

    FIG. 5.3 ' Time-dependent

    start-up costs.

    5.1.4.2 Must Run

    Some units are given a must-run status during certain times of theyearreason of

    voltage support on the transmission network or for suchpurpoas supply of

    steam for usesoutside the steam plant itself.

    5.1.4.3 Fuel Constraints

    We will treat the "fuel scheduling" problem briefly in Chapter 6. A system

    whichsome units have limited fuel, or else have constraints that require

    thto burn a specified

    amount of fuel in a given time,presents a most challengunit commitment problem.

    5.2 UNIT COMMITMENT SOLUTION METHODS

    The commitmentproblem Canbe very difficult.As a theoretical exercis

    e

    ,letpostulate the followingsituation.

    We must establisha loadingpattern for Mperiods.We haveN units to commit and dispatch.The M load levelsand operating limits on theN units are suchthatone unit

    can supply

    the individual

    loads and that any combinati0units can also supply the loads.

    Next,assumewe are going to establishthe commitmentby)rute total

    number of combinations we need to try each

    hour