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Renewable energy and thermal power generation coupling system based on improved particle swarm reactive power optimization control
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Feng Sun1, Qingsong Zhao1, 2, Ruojin Wang2, Yangyang Ge1, Xiaodong Wang2
Renewable Energy Resources | 2024, 42(1) : 87 - 95
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Renewable Energy Resources | 2024, 42(1): 87-95
Renewable energy and thermal power generation coupling system based on improved particle swarm reactive power optimization control
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Feng Sun1, Qingsong Zhao1, 2, Ruojin Wang2, Yangyang Ge1, Xiaodong Wang2
Affiliations
  • 1 Electric Power Research Institute of State Grid Liaoning Electric Power Co. Ltd. Shenyang 110006 China
  • 2 School of Electrical Engineering Shenyang University of Technology Shenyang 110870 China
Published: 2024-01-20
Outline
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This thesis constructs a coupling system inactive adjustment model for system voltage output of wind power fluctuations in renewable energy and thermal power generation coupling systems, and constructing coupling system reactive modulation models, on the basis of considering communication delays, The voltage deviation is quantified index to analyze the effect of reactive power control on voltage stability in coupling system. A coupling system bilateral reactive control optimization strategy for fusion SVG and wind turbines as reactive modulated resources is proposed. The upper layer is based on SVG as an inactive adjustment device, and the system's overall power factor optimization model is constructed by the respective node voltage deviation. The lower layer is a node having a large voltage deviation. The wind turbine near the node is used as an inactive adjustment device. The system voltage deviation is optimal, and the wind turbine reactive optimization model is constructed, and the algorithm combined with Ybus and LinWPSO is used. Solve the optimization model and derive the wind power unit reactive reference value. The case simulation results show that the twolayer reactive policies mentioned in this paper make full exertion of the powermodulated potential of the wind and motor sets, which can take care of the voltage fluctuations and web damage of the coupling system, and reduce the disturbance of the renewable energy power fluctuations on the coupling system, improve coupling the voltage stability of the system.

wind power fluctuations  /  voltage limit violation  /  communication delay  /  reactive power control
Feng Sun, Qingsong Zhao, Ruojin Wang, Yangyang Ge, Xiaodong Wang. Renewable energy and thermal power generation coupling system based on improved particle swarm reactive power optimization control[J]. Renewable Energy Resources, 2024 , 42 (1) : 87 -95 .
Year 2024 volume 42 Issue 1
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Article Info
  • Receive Date:2023-04-09
  • Online Date:2025-07-22
  • Published:2024-01-20
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  • Received:2023-04-09
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    1 Electric Power Research Institute of State Grid Liaoning Electric Power Co. Ltd. Shenyang 110006 China
    2 School of Electrical Engineering Shenyang University of Technology Shenyang 110870 China
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表12种不同金属材料的力学参数

Family
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Number of
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Number of
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占总种数比例
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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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