| 引用本文: | 任海鹏,霍龙,锁军.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[J].控制理论与应用,2019,36(2):199~206.[点击复制] |
| REN Haipeng,HUO Long,SUO Jun.Optimization of frequency feedback control in power grid based on MOPSO-sparse promoting algorithm[J].Control Theory and Technology,2019,36(2):199~206.[点击复制] |
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| 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 2385 全文点击 1033 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 |
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| 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. |