基于多目标粒子群–稀疏提升算法的电网频率反馈优化控制
Optimization of frequency feedback control in power grid based on MOPSO-sparse promoting algorithm
摘要点击 231  全文点击 186  投稿时间:2018-01-15  修订日期:2018-06-04
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DOI编号  10.7641/CTA.2018.80044
  2019,36(2):199-206
中文关键词  频率稳定性  反馈控制增益  多目标粒子群优化  稀疏提升  
英文关键词  frequency stability  feedback control gains  multi-objective particle swarm optimization  sparse promoting
基金项目  
学科分类代码  
作者单位E-mail
任海鹏 西安理工大学 renhaipeng@xaut.edu.cn 
霍龙 西安理工大学  
锁军 国网陕西省电力公司电力科学研究院  
中文摘要
      频率反馈控制策略是维持电网频率稳定性的主要手段. 本文建立了频率反馈控制系数和电网拓扑与电网 频率稳定性的小信号分析模型, 推导得出了能改善电网频率稳定性的频率反馈控制系数的参数范围. 提出了基于多 目标粒子群的稀疏提升算法(MOPSO-sparse promoting algorithm), 进行频率反馈控制系数矩阵的优化, 提高了电网 频率响应性能并降低了成本代价. 用本文提出的算法设计IEEE-39标准测试系统和陕北局部电网的频率反馈控制 系数, 并进行仿真对比, 验证了算法的高效性和优越性.
英文摘要
      Frequency feedback control is one of the main approaches to maintain the frequency stability of power gird. The small-signal model for frequency stability analysis is built considering frequency feedback control coefficient and power grid topology. The range of frequency feedback control coefficient to improve the frequency stability of power grid is derived using the small-signal model. The sparse promoting algorithm based on multi-objective particle swarm optimization(MOPSO) algorithm is introduced to optimize frequency feedback control coefficient matrix. The optimal control coefficient matrix derived by the proposed method enhances the performance of perturbation response as well as reduces the cost. The MOPSO sparse promoting algorithm is used to design the frequency feedback control coefficient matrix of IEEE-39 benchmark and Northern Shaanxi local power grid, the results show the proposed method has better performance and higher efficiency compared with the existing counterpart.