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
Abstract
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
Identifiers
Citations and references
Cited by 20 references