COMBINED HEAT AND POWER ECONOMIC DISPATCH USING GENETIC ALGORITHM BASED PENALTY FUNCTION METHOD
Yun‐Heub SongSchool of Electronic and Electrical Engineering University of Bath , Bath, BA2 7AY, UKQi XuanSchool of Electronic and Electrical Engineering University of Bath , Bath, BA2 7AY, UK
1998en
ABI
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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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