系统仿真学报 ›› 2020, Vol. 32 ›› Issue (9): 1831-1838.doi: 10.16182/j.issn1004731x.joss.19-0128

• 国民经济仿真 • 上一篇    下一篇

基于混合建模仿真的大型风电场降损控制

肖运启, 王乙   

  1. 华北电力大学,控制与计算机工程学院,北京 102206
  • 收稿日期:2019-03-27 修回日期:2019-08-15 出版日期:2020-09-18 发布日期:2020-09-18
  • 作者简介:肖运启(1980-),男,河北邯郸,博士,副教授,研究方向为风力发电系统建模与优化控制。
  • 基金资助:
    国家自然科学基金(51677067),中央高校基本科研业务费专项资金(2018MS27)

Operation Loss Reduction Control for Large-scale Wind Farm Based on Hybrid Modeling Simulation

Xiao Yunqi, Wang Yi   

  1. Department of control and computer engineering, North China Electric Power University, Beijing 102206, China
  • Received:2019-03-27 Revised:2019-08-15 Online:2020-09-18 Published:2020-09-18

摘要: 由于大型风电场变压设备多、集电线路长,在实际运行中集电系统损耗突出,对此提出一种利用风电机组作为分布式无功源,以优化风电场内潮流降低集电系统总体损耗的无功/电压控制策略。同时,为提升风电场建模以及多场景降损优化仿真的效率,设计了一种基于对象模型组态与控制算法编程相结合的混合建模仿真方案,风电场模型采用模块组态建模,并由控制算法形成的引擎文件自主调用实施仿真优化。通过对某125 MW大型风电场进行降损控制的算例研究,验证了所提控制方案的有效性和混合仿真建模方法的高效性。

关键词: 风电场, 运行节能, 无功控制, 遗传算法, 粒子群算法

Abstract: Due to the large number of transformers and collection lines in large-scale wind farms, the losses of collecting system is serious in actual operation. A reactive power/voltage control strategy is proposed, which takes wind turbines as the distributed reactive power sources to optimize the power flow in wind farm and reduce the overall losses of collector system. To improve the efficiency of wind farm modeling and multi-scene loss reduction simulation, a hybrid modeling and simulation scheme based on combining object model configuration and control algorithm programming is proposed. The wind farm model consists of module configuration, and can be called by the engine file formed by the control algorithm to implement the simulation optimization. The effectiveness of the proposed optimal control strategy and the hybrid simulation modeling method are verified by a study on the loss reduction control of a 125 MW large wind farm.

Key words: wind farm, energy-saving, reactive power control, genetic algorithm, particle swarm optimization

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