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| Distributed multi-objective optimal control method for energy storage in active distribution networks based on linear quadratic optimal control |
| DOI：10.19783/j.cnki.pspc.250553 |
| Key Words:AC distribution network cluster partitioning distributed control voltage recovery linear quadratic optimal control |
| Author Name | Affiliation | | LIU Qi1 | 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 | | WANG Shiyou1 | 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 | | SHI Huizhe2 | 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 | | CHEN He3 | 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 | | ZHANG Lihong1 | 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 | | 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 |
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| 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. |
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