Wind-Solar-Hydro power optimal scheduling model based on multi-objective dragonfly algorithm. (February 2019)

• Record Type: Journal Article
• Authors: Li, Jie; Lu, Jiantao; Yao, Liqiang; Cheng, Liangge; Qin, Hui
• Is Part Of: Energy procedia. Volume 158(2019)
• Page Start: 6217
• Page End: 6224
• Publication Date: 2019-02
• Subjects: Wind-Solar-Hydro power generation system -- Scheduling strategy -- Multi-objective optimization -- Dragonfly algorithm -- Ecological over-and-short discharge; Power resources -- Congresses; Power resources -- Periodicals; Power resources; Conference proceedings; Periodicals; 333.7905
• DOI: 10.1016/j.egypro.2019.01.476
• Languages: English
• ISSNs: 1876-6102

Abstract

Abstract: Wind power, solar power and hydropower can form a good complementary effect in space and time. Research on Wind-Solar-Hydro power generation system has gradually become a hot research topic. In this paper, a large-scale hydropower station in southwestern China and its surrounding wind fields and solar fields are taken as examples to establish an optimal scheduling model with the objectives of maximizing system total power generation, maximizing the minimum monthly joint output of the whole scheduling period, and minimizing the ecological over-and-short discharge. The paper presents a multi-objective dragonfly algorithm base on reference point to obtain the non-dominated solutions in the wet year, normal year and dry year. Meanwhile, the scheduling processes of four representative plans on the obtained Pareto front are selected to analyze its certain practical significance. It is found that the established multi-objective optimal model and the proposed algorithm have certain reference value for the optimal operation of Wind-Solar-Hydro power generation system.