Research on joint optimal dispatching method for hybrid power system considering system security. (15th March 2019)

• Record Type: Journal Article
• Authors: Fu, Yiwei; Lu, Zongxiang; Hu, Wei; Wu, Shuang; Wang, Yiting; Dong, Ling; Zhang, Jietan
• Is Part Of: Applied energy. Volume 238(2019)
• Page Start: 147
• Page End: 163
• Publication Date: 2019-03-15
• Subjects: Day-ahead dispatching strategy -- Hybrid power system -- Complementary operation -- Security requirements -- Benders decomposition; Power (Mechanics) -- Periodicals; Energy conservation -- Periodicals; Energy conversion -- Periodicals; 621.042
• DOI: 10.1016/j.apenergy.2019.01.034
• Languages: English
• ISSNs: 0306-2619

Abstract

Graphical abstract: Highlights: A joint scheduling model for a hybrid power system considering security is built. The effective reserve capacity constraint and N − 1 security constraint are modeled. A three-stage algorithm based on Benders decomposition is proposed. The specific scheduling strategies in different natural scenarios are summarized. Cases that verified the effectiveness of the proposed method are analyzed. Abstract: Due to the clear differences in the characteristics of different power sources, it is necessary to take both the economic and security requirements of the power grid into account simultaneously to achieve an optimal operation strategy for a multienergy power system. This paper focuses on the optimal day-ahead dispatching of a hybrid power system that includes wind power, solar photovoltaic power, cascade hydropower, thermal power, and pumped-storage power. Considering the complementary characteristics of these different sources, a day-ahead joint optimal dispatching model of the multi-energy power system is established, with objectives of maximizing the security level, economic benefits and renewable energy consumption. A three-stage method based on Benders decomposition is proposed to solve this complex multiobjective problem. By decoupling the security and economic problems of the hybrid power system, an efficient solution for the scheduling strategy is achieved. The influences of factors such as the diversity of natural scenarios and the security requirements of system operation on the scheduling results are fully discussed in the case study section. The computational efficiencies of the proposed three-stage method and of the direct method are also comparatively analyzed. The simulation results verify the superiority of the proposed scheduling strategy and algorithm.