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A multi-objective optimization method for precise load shedding control of power system based on POA-GWO–CSO algorithm
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Jianxin Zhang1, Jian Qiu1, Qingchun Zhao2, Tuo Jiang1, Jianshe Li1, Shangxue Xia2, Wenxing Jin3
Renewable Energy Resources | 2024, 42(9) : 1262 - 1270
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Renewable Energy Resources | 2024, 42(9): 1262-1270
A multi-objective optimization method for precise load shedding control of power system based on POA-GWO–CSO algorithm
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Jianxin Zhang1, Jian Qiu1, Qingchun Zhao2, Tuo Jiang1, Jianshe Li1, Shangxue Xia2, Wenxing Jin3
Affiliations
  • 1 China Southern Power Grid Co., Ltd. Guangzhou 510663 China
  • 2 Nanjing Nari-Relays Electric Co., Ltd. Nanjing 211102 China
  • 3 School of Electrical Engineering Southeast University Nanjing 210096 China
Published: 2024-09-20
Outline
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In order to solve a series of security problems such as system frequency and voltage offset caused by power shortage in power system, this paper proposes a multiobjective optimization method for precise load shedding control based on POAGWOCSO algorithm. Firstly, a multiobjective optimization model of precise load shedding control based on load classification is proposed from the aspects of safety and economy of power system, considering the constraints of stable operation of power system and output characteristics of distributed generation. In order to enhance the coordination relationship between global and local search in the traditional pelican optimization algorithm (POA), and to overcome the problems of premature convergence, insufficient optimization range and low accuracy of the optimization algorithm in dealing with complex problems. In this paper, the nonlinear inertia weight factor, the wolf group leader strategy in the grey wolf optimization algorithm (GWO)and the crisscross optimization (CSO) are introduced to update the position of the new individual of the pelican. Finally, based on the empirical analysis of the modified IEEE33 node, the improved POAGWOCSO algorithm proposed in this paper is used to solve the emergency load shedding model, and the system coordinated control of economy and stability is realized.

new energy power system  /  precise load shedding  /  pelican optimization algorithm  /  grey wolf optimization  /  crisscross optimization algorithm
Jianxin Zhang, Jian Qiu, Qingchun Zhao, Tuo Jiang, Jianshe Li, Shangxue Xia, Wenxing Jin. A multi-objective optimization method for precise load shedding control of power system based on POA-GWO–CSO algorithm[J]. Renewable Energy Resources, 2024 , 42 (9) : 1262 -1270 .
Year 2024 volume 42 Issue 9
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Article Info
  • Receive Date:2024-04-02
  • Online Date:2025-07-22
  • Published:2024-09-20
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  • Received:2024-04-02
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Affiliations
    1 China Southern Power Grid Co., Ltd. Guangzhou 510663 China
    2 Nanjing Nari-Relays Electric Co., Ltd. Nanjing 211102 China
    3 School of Electrical Engineering Southeast University Nanjing 210096 China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
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Genus
种数
Number of
species
占总种数比例
Percentage of total
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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