Abstract：A multi-objective planning model of active distribution network based on uncertain network theory was proposed innovatively in this paper. The unavailability and stability index of the feeders were taken as the weight value to model the uncertain random active distribution network. Based on this network, the model took the total costs of investment, maintenance, operation and management as the financial objective, and the second objective was to search the minimum spanning tree under uncertain random network. The planning decision variables not only included the upgrading and extension of distribution line, but also the investment and simulation operation of capacitor bank, static var compensator, voltage regulator and distribution generation were considered, which was namely active distribution management schemes. In order to solve the complex mixed integer nonlinear multi-objective model, the second order cone relaxation technique was used to transform the original model to the mixed integer second order cone programming problem, and the three-dimensional uncertain chance space was constructed to solve the multi-objective programming problem. The simulation results of the improved 33 node system verify the effectiveness of the model.
谢仕炜,胡志坚,王珏莹,罗福玲. 基于不确定随机网络理论的主动配电网多目标规划模型及其求解方法[J]. 电工技术学报, 2019, 34(5): 1038-1054.
Xie Shiwei, Hu Zhijian, Wang Jueying, Luo Fuling. A Multi-Objective Planning Model of Active Distribution Network Based on Uncertain Random Network Theory and Its Solution Algorithm. Transactions of China Electrotechnical Society, 2019, 34(5): 1038-1054.
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2019, Vol. 34 
