Sri Padmavathi Mahila Visvavidyalayam (Women’s University) School of Engineering and Technology

Presented By

CH. Chaitanya Madhu Mallika

Control Scheme For a Stand-Alone Wind Energy Conversion System

Now a days with the competitive costs for electricity generation wind energy conversion system is deployed for meeting for both grid connected and stand-alone load demand.

Small scale stand alone wind turbine provide a very attractive renewable energy source for off-grid remote applications. It is an advantage of variable speed turbine technology.

Purpose

There are many loads such as remote villages, islands, ships and so on that are away from the main grid.

They require stand-alone generator system which can provide constant nominal voltage and frequency to provide for their local electrification.

Problem

Energy is the considered to be the pivotal input for development. At present owing to the depletion of available conventional

resources and concern regarding environmental degradation, the renewable sources are being utilized to meet the ever increasing energy demand.

Due to a relatively low cost of electricity production wind energy is considered to be one of the potential sources of clean energy for the future.

Solution

WHY NOW?

A low power wind system operating in autonomous mode. We present a control structure that ensures the maximization of wind energy conversion and the balance between required and produced power.

The application of the model predictive control (MPC) approach to control the voltage and frequency of a stand alone wind generation system. This scheme consists of a wind turbine which drives an induction generator feeding an isolated load. A static VAR compensator is connected at the induction generator terminals to regulate the load voltage.

Wind energy one of the world’s fastest growing energy technologies.

In order to maximize the efficiency of the renewable energy system it is necessary to track the maximum power point of the input source.

Market Size It is estimated that 16% of the world’s electricity will be harnessed from

wind power by 2020. The total installed capacity has registered a growth by 20 times from 2001

t0 2010. The generation capacity increased from 26000MW in 2001 to 507000MW

in 2010 wind Energy conversion system(WECS) can operate in conjunction with grid or in isolation, based on this they can be classified as grid connected or autonomous/stand-alone systems.

Small wind turbine with capacity ranging from 300W to 25KW are now available in Indian market and gaining popularity.

Providing steady income through lease to the land owners .Farmers can also grow crops or rise cattle next to the towers.

Competition The other renewable source of energy we can use instead of wind power is solar power.

Competitive advantages Solar energy has intermittency issues which is not present in wind

energy. In case of insufficient availability of wind energy backup storage is utilized for continuous conduction.

No fuel cost . Limited use of land. New market.Operating cost will be less.Wind energy equipment are not more fragile. Environment friendly and pollution free.

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Layout of hybrid wind–battery system for a stand-alone dc load.

Architecture

Control strategy for stand-alone hybrid wind battery system

Hybrid wind battery system for an isolated dc load:

The proposed hybrid system comprises of a 4KW Wind Energy Conversion System(WECS) and 400Ah,c/10lead acid battery bank.

However, there is a need for battery back up to meet the load demand during the period of unavailability of sufficient wind power.

Charge control for battery bank The current required for charging the battery bank depends on the Battery State Of Charge(SOC). Control Strategy A. MPPT Logic B. Tip Speed Ratio(TSR) C. PI Controller

Block Schematic of the Charge Controller Circuit for Battery.

Constant Voltage(CV) Mode of Charging

Constant Current(CC) Mode of Charging

Pitch Control Mechanism

Pitch Control Scheme

Modes of Battery Charging:

Price: Turbine 3,00,000 Control circuits 2,00,000 Mechanical Devices 2,00,000 Battery 1,50,000 Converter 10,000 Total Estimated Costs 8,60,000 Life Time: Minimum 20 years Customers: Telecom Stations

Revenue

Board of Advisors CH.Chaitanya Madhu Mallika K.Bhavani R.Harika N.Kalpana

Founder

MS.M.Pallavi

THANK YOU…!!!!