Multi-Objective Immune Genetic Algorithm and its Application in the Optimal Operation of Hydro Power Stations

Abstract:

The cascade development of river basin has important implication on the society, economy and ecological environment. To carry out optimal control and operation of hydro power stations can obtain a more significant overall efficiency, and provide basic support and guarantee to energy conservation and construction of ecological civilization. Taking into account the complexity and multi-objective property of operation of hydro power stations, as well as increasingly severe eco-environmental problems, this paper presents an optimal operation model of hydro power stations considering ecological environment water demand, and proposes an improved multi-objective immune genetic algorithm (MOIGA) to solve the model for better control of hydro power stations. This model is applied to the Xinan-Fuchun hydro power stations, and result shows that MOIGA is feasible for the control and optimal operation of hydro power stations.

• Periodical: Applied Mechanics and Materials (Volume 443)
• Pages: 337-341
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.443.337
• Online since: October 2013
• Authors: Xian Feng Huang, Yun Fei Guan, Guo Hua Fang, Nan Li
• Keywords: Control, Eco-Environmental Flow, Hydro Power Stations, Multi-Objective Decision, Multi-Objective Immune Genetic Algorithm, Optimal Operation, RVA

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