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.