| 引用本文: | 刘 琪,王世友,时慧喆,等.基于线性二次最优控制的主动配电网储能分布式多目标优化控制方法[J].电力系统保护与控制,2026,54(04):62-74.[点击复制] |
| LIU Qi,WANG Shiyou,SHI Huizhe,et al.Distributed multi-objective optimal control method for energy storage in active distribution networks based on linear quadratic optimal control[J].Power System Protection and Control,2026,54(04):62-74[点击复制] |
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| 摘要: |
| 高渗透率分布式光伏接入配电网后易引发系统频繁过电压，而传统集中优化调度方法因通信需求高、响应速度慢等问题，难以满足电压实时调控需求。对此，提出了基于线性二次最优控制的配电网储能分布式快速调压方法。首先，为减少通信负担，根据电气距离模块度指标进行配电网集群划分。其次，建立以电压恢复和储能功率均衡为目标的主动配电网优化控制模型，并设计基于新型观测器的分布式控制器，通过优化选取观测器增益提升电压控制速度。最后，选取IEEE33节点及IEEE69节点系统进行仿真。结果表明，所提出的储能分布式优化控制方法能在保证储能功率均衡的条件下，有效消除节点电压越限，提高配电网的电压水平。 |
| 关键词: 交流配电网 集群划分 分布式控制 电压恢复 线性二次最优控制 |
| DOI：10.19783/j.cnki.pspc.250553 |
| 投稿时间：2025-05-23修订日期：2025-08-17 |
| 基金项目:国家自然科学基金青年科学基金项目资助(52307115)；山东省自然科学基金青年科学基金项目资助(ZR2023QE238) |
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| Distributed multi-objective optimal control method for energy storage in active distribution networks based on linear quadratic optimal control |
| LIU Qi1,WANG Shiyou1,SHI Huizhe2,CHEN He3,ZHANG Lihong1,WANG Tianzi 1 |
| (1. College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao 266590, China;
2. Engineering Training Center, Shandong University of Science and Technology, Qingdao 266590, China;
3. Coal Science (Beijing) Test Technology Co., Ltd., Beijing 102604, China) |
| Abstract: |
| The high penetration of distributed photovoltaic generation in distribution networks is prone to causing frequent overvoltage problems. However, traditional centralized optimal scheduling methods suffer from high communication requirements and slow response speeds, making it difficult to meet the demands of real-time voltage regulation. To address this issue, a distributed fast voltage regulation method for energy storage in distribution networks based on linear quadratic optimal control is proposed. First, to reduce communication burden, the distribution network is partitioned into clusters according to the electrical-distance-based modularity index. Second, an optimal control model for the active distribution network is established, with voltage recovery and energy storage power balance as the control objective. A distributed controller based on a novel observer is then designed, in which the observer gain is optimally selected to enhance the voltage control speed. Finally, simulations are conducted on the IEEE33-bus and IEEE69-bus systems. The results show that the proposed distributed optimal control method for energy storage can effectively eliminate node voltage violations while ensuring power balance among the energy storage units, thereby improving the voltage profile of the distribution network. |
| Key words: AC distribution network cluster partitioning distributed control voltage recovery linear quadratic optimal control |
