Short-Term Optimal Scheduling of Power Grids Containing Pumped-Storage Power Station Based on Security Quantification
Hua Li,
Xiangfei Qiu,
Qiuyi Xi,
Ruogu Wang,
Gang Zhang (),
Yanxin Wang and
Bao Zhang
Additional contact information
Hua Li: Electric Power Research Institute, State Grid Shaanxi Electric Power Co., Ltd., Xi’an 710048, China
Xiangfei Qiu: State Grid Shaanxi Electric Power Company, Xi’an 710046, China
Qiuyi Xi: Electric Power Research Institute, State Grid Shaanxi Electric Power Co., Ltd., Xi’an 710048, China
Ruogu Wang: Electric Power Research Institute, State Grid Shaanxi Electric Power Co., Ltd., Xi’an 710048, China
Gang Zhang: School of Electrical Engineering, Xi’an University of Technology, Xi’an 710048, China
Yanxin Wang: Electric Power Research Institute, State Grid Shaanxi Electric Power Co., Ltd., Xi’an 710048, China
Bao Zhang: School of Electrical Engineering, Xi’an University of Technology, Xi’an 710048, China
Energies, 2024, vol. 17, issue 17, 1-26
Abstract:
In order to improve grid security while pursuing a grid operation economy and new energy consumption rates, this paper proposes a short-term optimal scheduling method based on security quantification for the grid containing a pumped-storage power plant. The method first establishes a grid security evaluation model to evaluate grid security from the perspective of grid resilience. Then, a short-term optimal dispatch model of the grid based on security quantification is constructed with the new energy consumption rate and grid loss as the objectives. In addition, an efficient intelligent optimization algorithm, Dung Beetle Optimization, is introduced to solve the scheduling model, dynamically updating the evaluation intervals during the iterative solution process and evaluating the grid security level and selecting the best result after the iterative solution. Finally, the improvement in the term IEEE 30-bus grid connected to a pumped-storage power plant is used as an example to verify the effectiveness of the proposed method and model.
Keywords: pumped-storage power station; security evaluation index system; analytic hierarchy process; multi-objective optimization; dung beetle optimization algorithm; fuzzy synthetic evaluation; entropy weight method (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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