1.State Key Laboratory of High Efficiency and High Quality Electric Energy Conversion, Hefei University of Technology, Hefei 230009, China
2.State Grid Anhui Ultra High Voltage Company, Hefei 230022, China
3.Electric Power Research Institute of State Grid Anhui Electric Power Co., Ltd., Hefei 230601, China
4.School of Electronics, Electrical Engineering, and Computer Science, Queen’s University Belfast, Belfast, BT8 5BN, U.K.
5.State Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
Binjie Wang received the M.S. degree in control science and engineering from Zhejiang University of Technology, Hangzhou, China, in 2024. He is currently pursuing the Ph.D. degree in electrical engineering at Hefei University of Technology, Hefei, China. His research interests include three-phase unbalanced voltage security and control in distribution networks. Email:dr_wangbinjie@163.com
Wu Tu received the M.S. degree in electrical engineering from Hefei University of Technology, Hefei, China, in 2025. His research interest includes voltage regulation in power systems. Email:W_tu224@163.com
Xiaodong Yang received the Ph.D. degree in control science and engineering from Zhejiang University of Technology, Hangzhou, China, in 2019. He is currently an Associate Professor with the School of Electrical Engineering and Automation, Hefei University of Technology, Hefei, China. His research interests include resilient distribution system, multi-microgrid, and power system control and optimization. Email:yang_xd90@163.com
Hui Fang received the B.S. and M.S. degrees in electrical engineering from Hefei University of Technology, Hefei, China, in 2016 and 2019, respectively, where she is currently pursuing the Ph.D. degree in electrical engineering. She is also an Engineer with the State Grid Anhui Ultra High Voltage Company, Hefei, China. Her research interests include planning and operation optimization of distribution networks with high renewable penetration. Email:e-mail: fangh_2017@163.com
Lijian Ding received the Ph.D. degree from North China Electric Power University, Beijing, China, in 2000. He is a Full Professor and the Dean with the School of Electrical Engineering and Automation, Hefei University of Technology, Hefei, China. His research interests include high-voltage technology, fault identification, electromagnetic compatibility, and reliability of wide bandgap power electronic system. Email:ljding@hfut.edu.cn
Wei Lou received the Ph.D. degree from Dalian University of Technology, Dalian, China, and is currently a Senior Engineer with the Electric Power Research Institute of State Grid Anhui Electric Power Co., Ltd., Hefei, China. His research interests include intelligent operation and control of new distribution system. Email: louwei_sgcc@foxmail.com
Qiuwei Wu received the Ph.D. degree from Nanyang Technological University, Singapore, in 2009. His research interests include decentralized and distributed optimal operation and control of power system with high penetration of renewable energy. Email: qiuwei.wu@ qub.ac.uk
Jinyu Wen received the Ph.D. degree in electrical engineering from Huazhong University of Science and Technology (HUST), Wuhan, China, in 1998. He is currently a Professor with the School of Electrical and Electronic Engineering, HUST. His research interests include renewable energy integration, energy storage, multi-terminal high-voltage direct current, and power system operation and control. Email: jinyu.wen@hust.edu.cn
收稿:2025-05-15,
修回:2025-10-09,
录用:2025-12-29,
网络首发:2026-02-02,
纸质出版:2026-09-15
移动端阅览
Binjie Wang, Wu Tu, Xiaodong Yang, 等. Topology-switching Soft Open Point Assisted Real-time Cooperative Operation of Active Distribution Networks Considering Voltage Stability[J]. MPCE, 2026,14(5):1793-1805.
Wang Binjie,Tu Wu,Yang Xiaodong,et al.Topology-switching Soft Open Point Assisted Real-time Cooperative Operation of Active Distribution Networks Considering Voltage Stability[J].Journal of Modern Power Systems and Clean Energy,2026,14(05):1793-1805.
Binjie Wang, Wu Tu, Xiaodong Yang, 等. Topology-switching Soft Open Point Assisted Real-time Cooperative Operation of Active Distribution Networks Considering Voltage Stability[J]. MPCE, 2026,14(5):1793-1805. DOI: 10.35833/MPCE.2025.000431.
Wang Binjie,Tu Wu,Yang Xiaodong,et al.Topology-switching Soft Open Point Assisted Real-time Cooperative Operation of Active Distribution Networks Considering Voltage Stability[J].Journal of Modern Power Systems and Clean Energy,2026,14(05):1793-1805. DOI: 10.35833/MPCE.2025.000431.
The large-scale integration of photovoltaic (PV) generation poses serious challenges of voltage violations and instability risks to active distribution networks (ADNs). To address these issues
this paper proposes a topology-switching soft open point (TS-SOP) assisted real-time cooperative operation framework of ADNs. The proposed framework ensures voltage stability by explicitly incorporating voltage stability margin (VSM) constraints. A TS-SOP model is developed that enhances power flow controllability and reduces standby losses through switchable feeder interconnections and flexible converter operating modes. The proposed framework coordinates day-ahead pre-dispatch
intra-day dynamic correction
and real-time voltage regulation
featuring a two-stage volt/var control. The first stage employs model predictive control to mitigate PV-driven fluctuations
while the second stage embeds VSM constraints into droop curve parameter optimization
ensuring that local droop control actions respect the system stability limits. Simulations on a modified IEEE 33-node system demonstrates that
compared with conventional fixed-topology SOP and droop-only schemes
the proposed framework not only reduces network losses and voltage violations
but also ensures VSM compliance
effectively coordinating fast voltage regulation with system-wide stability while improving the operating economy.
X. Huang, Z. Ding, Z. Liu et al. , “Bidding strategy for hybrid PV-BESS plants via knowledge-data-complementary learning,” Journal of Modern Power Systems and Clean Energy , vol. 13 , no. 1 , pp. 365 - 378 , Jan. 2025 .
J. Bian, Y. Song, C. Ding et al. , “Optimal bidding strategy for PV and BESSs in joint energy and frequency regulation markets considering carbon reduction benefits,” Journal of Modern Power Systems and Clean Energy , vol. 12 , no. 2 , pp. 427 - 439 , Mar. 2024 .
Y. Zhao, G. Zhang, W. Hu et al. , “Meta-learning based voltage control for renewable energy integrated active distribution network against topology change,” IEEE Transactions on Power Systems , vol. 38 , no. 6 , pp. 5937 - 5940 , Nov. 2023 .
S. Wang, J. Duan, D. Shi et al. , “A data-driven multi-agent autonomous voltage control framework using deep reinforcement learning,” IEEE Transactions on Power Systems , vol. 35 , no. 6 , pp. 4644 - 4654 , Nov. 2020 .
H. An, J. Yi, Y. Xing et al. , “A robust V2G voltage control scheme for distribution networks against cyber attacks and customer interruptions,” IEEE Transactions on Smart Grid , vol. 15 , no. 4 , pp. 3966 - 3978 , Jul. 2024 .
H. Qiu, V. Veerasamy, C. Ning et al. , “Two-stage robust optimization for assessment of PV hosting capacity based on decision-dependent uncertainty,” Journal of Modern Power Systems and Clean Energy , vol. 12 , no. 6 , pp. 2091 - 2096 , Nov. 2024 .
C. Zhang, R. Xu, and L. Yang, “Optimization of local voltage control with coordinating droop functions under high PV penetration,” IEEE Transactions on Power Systems , vol. 39 , no. 5 , pp. 6776 - 6779 , Sept. 2024.
S. Talkington, S. Grijalva, M. J. Reno et al. , “Solar PV inverter reactive power disaggregation and control setting estimation,” IEEE Transactions on Power Systems , vol. 37 , no. 6 , pp. 4773 - 4784 , Nov. 2022 .
R. Xu , C. Zhang, Y. Xu et al. , “Multi-objective hierarchically-coordinated Volt/Var control for active distribution networks with droop-controlled PV inverters,” IEEE Transactions on Smart Grid , vol. 13 , no. 2 , pp. 998 - 1011 , Mar. 2022 .
X. Sun, J. Qiu, and J. Zhao, “Optimal local volt/var control for photovoltaic inverters in active distribution networks,” IEEE Transactions on Power Systems , vol. 36 , no. 6 , pp. 5756 - 5766 , Nov. 2021 .
R. Cheng, N. Shi, S. Maharjan et al. , “Automatic self-adaptive local voltage control under limited reactive power,” IEEE Transactions on Smart Grid , vol. 14 , no. 4 , pp. 2851 - 2862 , Jul. 2023 .
C. Zhang and Y. Xu, “Hierarchically-coordinated voltage/var control of distribution networks using PV inverters,” IEEE Transactions on Smart Grid , vol. 11 , no. 4 , pp. 2942 - 2953 , Jul. 2020 .
C. Zhang, Y. Xu, Y. Wang et al. , “Three-stage hierarchically-coordinated voltage/var control based on PV inverters considering distribution network voltage stability,” IEEE Transactions on Sustainable Energy , vol. 13 , no. 2 , pp. 868 - 881 , Apr. 2022 .
H. Liu, C. Zhang, Q. Chai et al. , “Robust regional coordination of inverter-based volt/var control via multi-agent deep reinforcement learning,” IEEE Transactions on Smart Grid , vol. 12 , no. 6 , pp. 5420 - 5433 , Nov. 2021 .
A. Inaolaji, A. Savasci, and S. Paudyal, “Distribution grid optimal power flow in unbalanced multiphase networks with volt-var and volt-watt droop settings of smart inverters,” IEEE Transactions on Industry Applications , vol. 58 , no. 5 , pp. 5832 - 5843 , Sept. 2022.
Y. Z. Gerdroodbari, R. Razzaghi, and F. Shahnia, “Decentralized control strategy to improve fairness in active power curtailment of PV inverters in low-voltage distribution networks,” IEEE Transactions on Sustainable Energy , vol. 12 , no. 4 , pp. 2282 - 2292 , Oct. 2021 .
X. Sun, J. Qiu, Y. Tao et al. , “Coordinated real-time voltage control in active distribution networks: an incentive-based fairness approach,” IEEE Transactions on Smart Grid , vol. 13 , no. 4 , pp. 2650 - 2663 , Jul. 2022 .
Y. Cao, D. Li, Y. Zhang et al. , “Optimal energy management for multi-microgrid under a transactive energy framework with distributionally robust optimization,” IEEE Transactions on Smart Grid , vol. 13 , no. 1 , pp. 599 - 612 , Jan. 2022 .
W. Huang, C. Gao, R. Li et al. , “A model predictive control-based voltage optimization method for highway transportation power supply networks with soft open points,” IEEE Transactions on Industry Applications , vol. 60 , no. 1 , pp. 1141 - 1150 , Jan. 2024 .
T. Qian, W. Ming, C. Shao et al. , “An edge intelligence-based framework for online scheduling of soft open points with energy storage,” IEEE Transactions on Smart Grid , vol. 15 , no. 3 , pp. 2934 - 2945 , May 2024.
V. B. Pamshetti, S. Singh, A. K. Thakur et al. , “Multistage coordination volt/var control with CVR in active distribution network in presence of inverter-based DG units and soft open points,” IEEE Transactions on Industry Applications , vol. 57 , no. 3 , pp. 2035 - 2047 , May 2021.
P. Li, H. Ji, C. Wang et al. , “Coordinated control method of voltage and reactive power for active distribution networks based on soft open point,” IEEE Transactions on Sustainable Energy , vol. 8 , no. 4 , pp. 1430 - 1442 , Oct. 2017 .
X. Yang, C. Xu, Y. Zhang et al. , “Real-time coordinated scheduling for active distribution networks with soft open points and charging stations,” IEEE Transactions on Power Systems , vol. 36 , no. 6 , pp. 5486 - 5499 , Nov. 2021 .
P. Li, H. Ji, H. Yu et al. , “Combined decentralized and local voltage control strategy of soft open points in active distribution networks,” Applied Energy , vol. 241 , pp. 613 - 624 , May 2019.
S. Wang, X. Li, Y. Zhang et al. , “Non-iterative sensitivity-based switch exchange method for distribution network reconfiguration,” IEEE Transactions on Smart Grid , vol. 16 , no. 4 , pp. 2830 - 2845 , Jul. 2025 .
A. Azizi, B. Vahidi, and A. F. Nematollahi, “Reconfiguration of active distribution networks equipped with soft open points considering protection constraints,” Journal of Modern Power Systems and Clean Energy , vol. 11 , no. 1 , pp. 212 - 222 , Jan. 2023 .
M. Deakin, “Multiplexing power converters for cost-effective and flexible soft open points,” IEEE Transactions on Smart Grid , vol. 15 , no. 1 , pp. 260 - 271 , Jan. 2024 .
Q. Hou, N. Dai, and Y. Huang, “Voltage regulation enhanced hierarchical coordinated volt/var and volt/watt control for active distribution networks with soft open points,” IEEE Transactions on Sustainable Energy , vol. 15 , no. 3 , pp. 2021 - 2037 , Jul. 2024 .
X. Yang, C. Xu, J. Wen et al. , “Cooperative repair scheduling and service restoration for distribution systems with soft open points,” IEEE Transactions on Smart Grid , vol. 14 , no. 3 , pp. 1827 - 1842 , May 2023.
X. Yang, Z. Hu, H. Fang et al. , “Voltage control embedded resilient distribution system restoration considering uncertainties,” IEEE Transactions on Smart Grid , vol. 60 , no. 4 , pp. 5609 - 5623 , Jul. 2024 .
I. Sarantakos, M. Peker, N.-M. Zografou-Barredo et al. , “A robust mixed-integer convex model for optimal sched uling of integrated energy storage-soft open point devices,” IEEE Transactions on Smart Grid , vol. 13 , no. 5 , pp. 4072 - 4087 , Sept. 2022.
R. Zafar, J. Ravishankar, J. E. Fletcher et al. , “Multi-timescale voltage stability-constrained volt/var optimization with battery storage system in distribution grids,” IEEE Transactions on Sustainable Energy , vol. 11 , no. 2 , pp. 868 - 878 , Apr. 2020 .
X. Yang, C. Xu, H. He et al. , “Flexibility provisions in active distribution networks with uncertainties,” IEEE Transactions on Sustainable Energy , vol. 12 , no. 1 , pp. 553 - 567 , Jan. 2021 .
Y. Zheng, Y. Song, A. Huang et al. , “Hierarchical optimal allocation of battery energy storage systems for multiple services in distribution systems,” IEEE Transactions on Sustainable Energy , vol. 11 , no. 3 , pp. 1911 - 1921 , Jul. 2020 .
R. Zafar, J. Ravishankar, J. E. Fletcher et al. , “Multi-timescale model predictive control of battery energy storage system using conic relaxation in smart distribution grids,” IEEE Transactions on Power Systems , vol. 33 , no. 6 , pp. 7152 - 7161 , Nov. 2018 .
0
浏览量
0
下载量
0
CSCD
关联资源
相关文章
相关作者
相关机构
京公网安备11010802024621