基于损耗最小化的风电场无功优化策略

刘军; 赵宣博; 葛磊; 陈正亮

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

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基于损耗最小化的风电场无功优化策略

更新时间：2026-07-22

- 基于损耗最小化的风电场无功优化策略
- 基于损耗最小化的风电场无功优化策略
- 太阳能学报 2026年47卷第6期页码：280-287
- 作者机构：
- 作者简介：
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- DOI：10.19912/j.0254-0096.tynxb.2025-0073
  中图分类号： TM614
- 网络首发：2026-07-08，
  
  纸质出版：2026
- 稿件说明：
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刘军, 赵宣博, 葛磊, 等. 基于损耗最小化的风电场无功优化策略[J]. 太阳能学报, 2026,47(6):280-287.

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

刘军, 赵宣博, 葛磊, et al. 基于损耗最小化的风电场无功优化策略[J]. 2026, 47(6): 280-287. DOI： 10.19912/j.0254-0096.tynxb.2025-0073.

摘要

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。

Abstract

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.

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Keywords

references

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刘军, 武培东, 王启超, 等. 基于尾流重定向风电场输出功率与载荷的联合优化[J]. 太阳能学报, 2025, 46(2): 607-614.

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