1.College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China;2.State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, Wuhan 430074, China;3.State Grid Huzhou Power Supply Company, Huzhou 313099, China
The soft open point (SOP) is used to connect two or more feeders. Its flexible reactive/active power adjustment capability can effectively mitigate the voltage deviation and improve the operation quality of the distribution network. The paper considers the coordination and optimization of multiple adjustment methods, including SOPs, on-load tap changers, switching capacitor banks, energy storage system (ESS) and demand response. On the basis of the control voltage amplitude within the safe operation range, the effective operation of the distribution network is realized. In order to cope with the multiple randomness of the system and properly avoid the actual operation risks caused by random factors, combined with the theories of the stochastic optimization and conditional risk at value (CVaR), this paper proposes a method for stochastic operation optimization of active distribution network considering risk management and control to achieve a balance between the expected operation cost and the operation risk. Then, the original model is transformed into a mixed-integer second-order cone programming model through the second-order cone transformation and linearization. It makes the model easier to solve. Finally, the test results on the modified IEEE 33-bus system verify the effectiveness of the proposed method.
This work is supported by National Natural Science Foundation of China (No. 51777193) and National Postdoctoral Program for Innovative Talents of China (No. BX20190126).
|||XU Chongbo, YANG Xiaodong, ZHANG Youbing, et al. Stochastic Operation Optimization Method for Active Distribution Networks with Soft Open Point Considering Risk Management and Control[J/OL]. Automation of Electric Power Systems, http://doi. org/10.7500/AEPS20200331004.|