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A coordination and optimization method of active-reactive power considering wind-photovoltaic load uncertainty was proposed to solve the operation and control problems caused by the connection of a high-proportion renewable energy into the distribution network. Firstly, the proportional selection method was used to generate the scenes by considering the wind-photovoltaic storage model comprehensively, and combined with the wind-photovoltaic load uncertainty and its prediction error. The scenario reduction was carried out based on the fast forward method, and the optimization model of active-reactive power coordination was established based on the wind-photovoltaic load uncertainty. Secondly, the second-order cone relaxation and big M method were used to convex the non-convex nonlinear conditions. The model was transformed into a mixed integer second-order cone programming problem, and the treated model was solved and analyzed by Gurobi optimizer. Finally, the effectiveness of the proposed model were verified by taking IEEE 33-node distribution network system as an example.
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Basic Information:
DOI：10.13705/j.issn.1671-6841.2020395
China Classification Code:TM73
Citation Information:
[1]LUO Zhuangzhuang,JIANG Jiandong.Coordination and Optimization of Distribution Network Considering the Uncertainty of Wind-photovoltaic Load[J].Journal of Zhengzhou University(Natural Science Edition),2021,53(04):115-122.DOI:10.13705/j.issn.1671-6841.2020395.
Fund Information:
国家自然科学基金项目(51507155)
2021-07-26
2021-07-26
2021-07-26