| 引用本文: | 邹屹东,钱 晶,张文英,等.基于CPSOGSA算法的风-光-小水电微电网负荷频率
最优 鲁棒控制[J].电力系统保护与控制,2022,50(11):32-41.[点击复制] |
| ZOU Yidong,QIAN Jing,ZHANG Wenying,et al.Optimal robust control for the load frequency of a microgrid including wind[J].Power System Protection and Control,2022,50(11):32-41[点击复制] |
|
| 摘要: |
| 提出在优化过程中考虑 范数权重来设计最优混合 鲁棒控制器的方法，并将其应用在含风电、光伏以及小水电三个分布式电源的微电网负荷频率控制上。在对所建立的微电网负荷频率控制器优化中以系统的频率波动平方积分最小作为最优化目标，并综合 两个范数所表述的鲁棒性能，设计了具有最优的混合 鲁棒控制器。采用基于收缩系数的粒子群引力搜索算法(CPSOGSA)对反映系统 性能、 性能的权重值以及输出鲁棒性能的有关加权矩阵进行选优，从而能够使得控制器在满足约束条件下达到最优。通过仿真验证可知，所提的方法对该微电网的负荷频率在外部扰动和系统内部参数扰动下具有更好的动态性能。 |
| 关键词: 微电网 小水电 负荷频率控制 鲁棒控制 混沌粒子群引力搜索算法 |
| DOI：DOI: 10.19783/j.cnki.pspc.211105 |
| 投稿时间：2021-08-16修订日期：2021-12-11 |
| 基金项目:国家自然科学基金项目资助(51869007) |
|
| Optimal robust control for the load frequency of a microgrid including wind |
| ZOU Yidong,QIAN Jing,ZHANG Wenying,MEI Hong,CHEN Jiahuan,ZENG Yun |
| (1. Faculty of Metallurgy and Energy Engineering, Kunming University of Science and Technology, Kunming 650000, China;
2. School of Electrical Power Engineering, Kunming University of Science and Technology, Kunming 650500, China;
3. City College, Kunming University of Science and Technology, Kunming 650000, China) |
| Abstract: |
| This paper proposes a method to design the optimal hybrid robust controller considering the norm weight in the optimization process and applies it to the load frequency control of the microgrid, including wind turbine, photovoltaic and small hydropower. Based on the established microgrid load frequency model, the controller optimization takes the minimum square integral of the frequency fluctuation of the system as the optimization objective, integrates the robust performance expressed by the two norms, and designs an optimal hybrid robust controller. The particle swarm gravitation search algorithm based on contraction coefficient (CPSOGSA) is used to optimize the relevant weighting matrix reflecting the system performance weight value, and output robust performance. The controller can achieve optimization under constraint conditions. The simulation results show that the proposed method has better dynamic performance for the load frequency of the microgrid under external disturbance and system internal parameter disturbance.
This work is supported by the National Natural Science Foundation of China (No. 51869007) |
| Key words: microgird small hydropower load frequency control robust control CPSOGSA |
