Non-dominated sorting culture differential evolution algorithm for multi-objective optimal operation of Wind-Solar-Hydro complementary power generation system
Due to the intermittency and instability of Wind-Solar energy and easy compensation of hydropower, this study proposes a Wind-Solar-Hydro power optimal scheduling model with the targets of maximizing the total system power generation and the minimum ten-day joint output.To effectively optimize the multi-objective model, a new algorithm named non-dominated sorting culture differential evolution algorithm (NSCDE) is proposed.NSCDE is validated feasible through several well-known benchmark problems.Then it is applied to the Jinping Wind-Solar-Hydro complementary power generation system.The results demonstrate that NSCDE can provide decision maker a series of optimized scheduling schemes and the Wind-Solar-Hydro model has certain reference value for other power stations than that studied in this paper.
Wind-Solar-Hydro complementary power generation system Scheduling strategy Multi-objective optimization Culture algorithm
Guanjun Liu Hui Qin Rui Tian Lingyun Tang Jie Li
School of Hydropower and Information Engineering, Huazhong University of Science and Technology,Wuhan 430074 Hubei, P.R.China
国际会议
法国巴黎
英文
402-407
2019-03-13（万方平台首次上网日期，不代表论文的发表时间）