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has been cited by the following article:

• TITLE: Optimal Operation of Multi-Objective Hydropower Reservoir with Ecology Consideration

  AUTHORS: Xuewen Wu, Xianfeng Huang, Guohua Fang, Fei Kong

  KEYWORDS: Hydropower Station Reservoir, Optimal Operation, Chaotic Genetic Algorithm, Ecology

  JOURNAL NAME: Journal of Water Resource and Protection, Vol.3 No.12, December 21, 2011

  ABSTRACT: Aiming at the problem that traditional optimal operation of hydropower reservoir pays little attention to ecology, an optimal operation model of multi-objective hydropower reservoir with ecology consideration is established which combines the ecology and power generation. The model takes the maximum annual power generation benefit, the maximum output of the minimal output stage in the year and the minimum shortage of ecological water demand as objectives, and water quantity balance of reservoir, reservoir storage, discharge flow, output and so on as constraints. Chaotic genetic arithmetic is developed to solve the optimal model. An example is studied, showing that the annual generation of the proposed model is 8 million kW?h less than that model without ecology consideration, which is about 0.28 percent. But the proposed model is in favor of river ecology protection, and can promote the sustainable utilization of water resources. So it is worthy and necessary for the optimal operation of hydropower reservoir with ecology consideration.