1. Robust optimization dispatch for PV rich power systems considering demand response and energy storage systems.
- Author
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Yang, Xuan, Shang, Jiayi, Zhang, Zhipeng, Wang, Gang, Zhao, Jianpeng, Ding, Boping, Xu, Hao, Li, Jueyou, and Zhang, Bingying
- Subjects
ROBUST optimization ,ENERGY storage ,ENERGY consumption ,MICROGRIDS ,COLUMN generation (Algorithms) ,PROBLEM solving - Abstract
In recent years, the ever-rising penetration of distributed photovoltaics (PV) power has presented substantial challenges in power system dispatch due to its inherent randomness and unpredictability. To bridge this gap, this paper proposes a two-stage robust optimization method for power system security dispatch considering traditional generators as well as flexible resources, such as load demand response and energy storage systems. Specifically, a price-based demand response model is established to optimize the system's load curve during a day. On this basis, a two-stage optimization problem for day-ahead and intraday power system dispatch model is proposed. The dispatch objective is to minimize the overall cost in worst-case scenarios through properly scheduling unit commitment (UC) as well as flexible resources in each dispatch interval. Column and constraint generation (C&CG) algorithm is adopted for problem solving. The effectiveness of the proposed method is validated by case studies based on a modified 6-node system and a 24-node system. Simulation results indicate that through appropriately scheduling the energy storage system and load demand response, the proposed dispatch method can significantly reduce the total operation cost of a PV rich power system, which in turn facilitates the integration of PV power. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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