摘要：Due to the depletion of fossil energy and environmental pollution, renewable clean energy has been paid more and more attention. This paper researches a multi-objective wind-solar-hydro-thermal scheduling model (MOSWS), whose objectives are to minimize the economic cost and minimize the environmental pollution caused by thermal power generation. The region search evolutionary algorithm (RSEA) with constraint handling method is proposed to solve the constrained multi-objective problems and applied to MOSWS model. From the experimental results, we find that RSEA with constraint handling is able to solve the constrained multi-problems and outperforms MODE-ACM in terms of both convergence and diversity. The RSEA is also applied to hydro-thermal system. The results show that wind-solar-hydro-thermal system can not only increase economic benefits, but also reduce the impact of thermal power generation on the atmospheric environment.
其他摘要：Due to the depletion of fossil energy and environmental pollution, renewable clean energy has been paid more and more attention. This paper researches a multi-objective wind-solar-hydro-thermal scheduling model (MOSWS), whose objectives are to minimize the economic cost and minimize the environmental pollution caused by thermal power generation. The region search evolutionary algorithm (RSEA) with constraint handling method is proposed to solve the constrained multi-objective problems and applied to MOSWS model. From the experimental results, we find that RSEA with constraint handling is able to solve the constrained multi-problems and outperforms MODE-ACM in terms of both convergence and diversity. The RSEA is also applied to hydro-thermal system. The results show that wind-solar-hydro-thermal system can not only increase economic benefits, but also reduce the impact of thermal power generation on the atmospheric environment.
