DESIGN & DEVELOPMENT OF GENETIC ALGORITHMS FOR ECONOMIC LOAD DISPATCH OF THERMAL GENERATING UNITS

The paper focuses on optimum allocation of scarce financial and capital intensive resources and the deregulation of the electrical power industry, utilities and private power producers are striving to minimize the cost of generation expansion whilst still achieving acceptable reliability of supply to consumers. SMEC has taken a leading role in providing consulting services in this area in many countries and in developing sophisticated computer software systems to assist optimal planning of power systems. SMEC’s approach in the determination of optimal generation plans commences with load forecasting and setting up of relevant databases containing data for the overall hydro-thermal system simulation. Relevant data is then extracted into appropriate probabilistic simulation software which uses dynamic programming methods to create the optimum expansion plan.

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