考虑风光荷不确定性的配电网协调优化  

Coordination and Optimization of Distribution Network Considering the Uncertainty of Wind-photovoltaic Load

作　　者：罗壮壮 蒋建东[1] LUO Zhuangzhuang;JIANG Jiandong(School of Electrical Engineering, Zhengzhou University, Zhengzhou 450001, China)

机构地区：[1]郑州大学电气工程学院,河南郑州450001

出　　处：《郑州大学学报（理学版）》2021年第4期115-122,共8页Journal of Zhengzhou University:Natural Science Edition

基　　金：国家自然科学基金项目(51507155)。

摘　　要：为解决高比例可再生能源接入配电网所带来的运行与控制问题,提出考虑风光荷不确定性的有功-无功协调优化方法。首先,综合考虑风光储模型,结合风光荷的不确定性及其预测误差,使用比例选择法产生场景,并基于快速前进法进行场景削减,建立基于风光荷不确定性的有功-无功协调优化模型;其次,使用二阶锥松弛技术和大M法对非凸、非线性条件进行凸处理,将模型转化为混合整数二阶锥规划问题,采用Gurobi优化器对处理后的模型进行求解分析;最后,以IEEE 33节点配电网系统为例,对所建立模型的有效性进行验证。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.

关 键 词：可再生能源 配电网 不确定性 场景削减 有功-无功协调优化 

分 类 号：TM721[电气工程—电力系统及自动化]