太阳能学报

基于损耗最小化的风电场无功优化策略

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太阳能学报 | 2026,47(6): 280-287

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太阳能学报 2026 , 47 (6) : 280 -287

基于损耗最小化的风电场无功优化策略

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刘军, 赵宣博, 葛磊, 陈正亮

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LOSS-MINIMIZATION-BASED REACTIVE POWER OPTIMIZATION STRATEGY FOR WIND FARMS

Liu Jun, Zhao Xuanbo, Ge Lei, Chen Zhengliang

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doi: 10.19912/j.0254-0096.tynxb.2025-0073

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摘要

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当电网调度中心下达无功指令值时,风电场需要将无功指令值合理分配给每台风电机组,从而满足电网稳定运行要求。为实现此目标,提出一种基于损耗最小化的陆上风电场无功优化运行策略,采用改进粒子群优化算法优化每台风电机组的无功功率参考值,以减少风电场的总损耗,包括发电机损耗、变流器损耗、滤波器损耗、变压器损耗和传输线路的损耗。为验证策略的有效性,设置5行5列布局的风电场模型,对常规的无功控制策略与基于损耗最小化的无功优化控制策略在不同场景下进行仿真研究,仿真结果表明该文所提无功优化运行策略能够显著减小风电场的功率损耗。

关键词

风电场 / 无功优化控制策略 / 损耗最小化 / 尾流效应 / 永磁同步风电机组

Abstract

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When the grid dispatch center issues a reactive power command value, the wind farm needs to rationally allocate this command value to each wind turbine generator （WTG） to meet grid stability requirements. To achieve this objective, this paper proposes a loss-minimization-based reactive power optimization control strategy for onshore wind farms. An improved particle swarm optimization （PSO） algorithm is employed to optimize the reactive power reference value for each WTG, aiming to reduce total losses within the wind farm. These losses encompass generator losses, power converter losses, filter losses, transformer losses, and transmission line losses. To validate the effectiveness of the proposed strategy, a wind farm model with a 5×5 layout is established. Simulation studies compare the conventional reactive power control strategy with the proposed loss-minimization-based reactive power optimization control strategy under different scenarios. The simulation results demonstrate that the proposed optimization strategy significantly reduces power losses in the wind farm.

Key words

wind farm / reactive power optimization control strategy / loss minimization / wake effect / PMSG

引用本文

刘军, 赵宣博, 葛磊, 陈正亮. 基于损耗最小化的风电场无功优化策略. 太阳能学报, 2026 , 47 (6) : 280 -287 . DOI: 10.19912/j.0254-0096.tynxb.2025-0073

Liu Jun, Zhao Xuanbo, Ge Lei, Chen Zhengliang. LOSS-MINIMIZATION-BASED REACTIVE POWER OPTIMIZATION STRATEGY FOR WIND FARMS[J]. Acta Energiae Solaris Sinica, 2026 , 47 (6) : 280 -287 . DOI: 10.19912/j.0254-0096.tynxb.2025-0073

基金

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陕西省重点研发计划（2021GY-106); 西安市攻关项目（5025）

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2026年第47卷第6期

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doi: 10.19912/j.0254-0096.tynxb.2025-0073

接收时间：2025-01-10
首发时间：2026-07-17

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2种不同金属材料的力学参数

科 Family	属数 Number of genus	种数 Number of species	占总种数比例 Percentage of total species (%)	属 Genus	种数 Number of species	占总种数比例 Percentage of total species (%)
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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