| 引用本文: | 王 聪,赵 杰,李 亮,等.一种嵌入改进海鸥算法的水光储鲁棒控制研究[J].电力系统保护与控制,2023,51(24):143-153.[点击复制] |
| WANG Cong,ZHAO Jie,LI Liang,et al.Robust control of water and light storage embedded in an improved seagull optimization algorithm[J].Power System Protection and Control,2023,51(24):143-153[点击复制] |
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| 摘要: |
| 光伏发电具有间歇性、波动性和预测难的特性，因此需要与其他能源进行互补。常用的方法是利用水电机组的快速响应和储能电池灵活高效的补偿来构建水光储微电网系统。然而，这一系统具有强烈的非线性特性，其稳定性的一个关键问题是频率控制。针对这一问题，设计了基于多目标H2理论的混合H2/H∞鲁棒控制器，主要目标是在暂态下抑制频率振荡。在控制器中嵌入海鸥算法，对海鸥算法进行混沌初始化和参数改进得到一种改进海鸥算法(improved seagull optimization algorithm, ISOA)。利用ISOA对H2/H∞鲁棒控制的加权矩阵系数和范数权重进行参数优化，最终获得最优混合ISOA-H2/H∞鲁棒控制器。仿真结果表明，所设计的ISOA-H2/H∞鲁棒控制器在功率扰动和系统参数摄动下能保证水光储系统的频率稳定，并具有满意的动态特性。 |
| 关键词: 水光储微电网 频率控制 暂态稳定性 混合鲁棒ISOA-H2/H∞控制器 改进海鸥算法 |
| DOI：10.19783/j.cnki.pspc.230389 |
| 投稿时间：2023-04-10修订日期：2023-06-20 |
| 基金项目:国家自然科学基金项目资助(52269020) |
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| Robust control of water and light storage embedded in an improved seagull optimization algorithm |
| WANG Cong1,ZHAO Jie1,LI Liang2,LU Yuzhou2,SHI Haoqi1,QIAN Jing3,CAO Fei3 |
| (1. Shijiazhuang Electric Power Supply Company, State Grid Hebei Electric Power Co., Ltd., Shijiazhuang 050051, China;
2.?Pingshan County Power Supply Branch, State Grid Hebei Electric Power Co., Ltd., Shijiazhuang 050400, China;
3. Faculty of Metallurgy and Energy Engineering, Kunming University of Science and Technology, Kunming 650093, China) |
| Abstract: |
| Photovoltaic power generation is intermittent, volatile and difficult to predict, so it needs to be complemented with other energy sources. A common approach is to build water-light storage microgrid systems using the fast response of hydro units and the flexible and efficient compensation of energy storage batteries. However, such systems have strongly non-linear characteristics and a key issue for their stability is frequency control. To address this problem, this paper designs a hybrid H2/H∞ robust controller based on multi-objective H∞ theory, with the main objective of suppressing frequency oscillations in transient states. The improved seagull algorithm (ISOA) obtained by chaotic initialization and parameter improvement of the algorithm is embedded in the controller. ISOA is used to optimize the weighted matrix coefficients and norm weights of H2/H∞ robust control, and finally the optimal hybrid robust controller is obtained. The simulation results show that the designed robust controller can ensure the frequency stability of the system under power disturbance and parameter perturbation, and has satisfactory dynamic characteristics. |
| Key words: hydropower-photovoltaic-energy storage microgrid frequency control transient stability ISOA-H2/H∞ hybrid robust controller improved seagull optimization algorithm |
