COMBINED HEAT AND POWER ECONOMIC DISPATCH USING GENETIC ALGORITHM BASED PENALTY FUNCTION METHOD

ABSTRACT This paper presents a new genetic approach for solving combined heat and power (CHP) economic dispatch problems. The complication of CHP dispatch lies in the constraints imposed by the multi-demand and heat-power capacity mutual dependencies. The paper proposes improved penalty function formulation for Genetic Algorithms (GAs) to effectively handle constraints. The method has been tested and compared to demonstrate its effectiveness

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