Title :
Bid-based economic electrical load dispatch using improved genetic algorithm
Author_Institution :
Dept. of Electr. Eng., Fortune Inst. of Technol., Kaohsiung, Taiwan
Abstract :
This paper presented an improved algorithm-Isolation Niche Immune Genetic Algorithm for solving Bid-based Economic Dispatch (INIGA-BED) in a power system. Economic Dispatch determines the electrical power to be generated by the committed generating units in a power system so that the generation cost can minimized, while satisfying various load demands simultaneously. The model of Bid-Based Economic Dispatch is proposed in order to maximize the social profit under the competitive environment of electricity market. This model synthetically considers various constraints on ramp rates, transmission line capacity and polluting gas emission constraints etc. The Isolation Niche Immune Genetic Algorithm was induced as a new solution for this model. With the introduction of niche technology, the capability of the immune genetic algorithm in dealing with the optimization of multi-peak model function was enhanced. This paper proposed the Niche based on Isolation mechanism which possesses with biological basis. It not only effectively ensures the diversity solutions of the group, but also has a strong ability to guide evolution.
Keywords :
genetic algorithms; load (electric); load dispatching; power generation economics; power markets; INIGA-BED; bid-based economic electrical load dispatch; electricity market; isolation niche immune genetic algorithm; load demand; multipeak model function; polluting gas emission; social profit; transmission line capacity; Economics; Equations; Generators; Genetic algorithms; Immune system; Mathematical model; Power systems; Bid-Based; Economic Dispatch; Immune Genetic Algorithm; Isolation Niche;
Conference_Titel :
Control Conference (ASCC), 2011 8th Asian
Conference_Location :
Kaohsiung
Print_ISBN :
978-1-61284-487-9
Electronic_ISBN :
978-89-956056-4-6