A Model Predictive Control Method to Optimize Voltages for Active Distribution Networks with Soft Open Point
Gao Congzhe1, Huang Wentao1, Yu Moduo1, Chen Yang2, Tai Nengling1
1. Key Laboratory of Control of Power Transmission and Conversion Ministry of Education Shanghai Jiao Tong University Shanghai 200240 China; 2. Songjiang Power Supply Company State Grid Shanghai Municipal Electric Power Company Shanghai 201600 China
Abstract：The power output of distributed generators and loads in distribution networks has strong volatility and randomness, which makes the voltage overruns and abnormal problems more serious. In this paper, a real-time active distribution network voltage optimization strategy using model predictive control (MPC) based on the soft open point (SOP) has been proposed, which uses only electrical information of both ends of SOP. Firstly, a predictive model of network voltage and power loss sensitivity is established based on the reference values given by the long-term optimization. Then a rolling optimization model with an SOP is established, in which the objective function is to minimize the voltage deviation and power losses. With the rolling-horizon approach, the power exchange between both ends of SOP is optimized and the predictive model is corrected through the voltage deviation feedback. This method effectively solves the problem that existing voltage optimization methods rely on global information are difficult to cope with rapid power fluctuations. Case studies on the IEEE 33-node system and a regional distribution system are carried out to verify the effectiveness of the proposed method. Results show that the voltage of the distribution network is enhanced and the power losses are significantly reduced, which provides a technical reference for operating new distribution networks.
高聪哲, 黄文焘, 余墨多, 陈旸, 邰能灵. 基于智能软开关的主动配电网电压模型预测控制优化方法[J]. 电工技术学报, 2022, 37(13): 3263-3274.
Gao Congzhe, Huang Wentao, Yu Moduo, Chen Yang, Tai Nengling. A Model Predictive Control Method to Optimize Voltages for Active Distribution Networks with Soft Open Point. Transactions of China Electrotechnical Society, 2022, 37(13): 3263-3274.
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