电力系统自动化2018，Vol.42Issue(5)：41-47,7.DOI:10.7500/AEPS20170605003
计及风电相关性的二阶锥动态随机最优潮流
Dynamic Stochastic Optimal Power Flow Based on Second-order Cone Programming Considering Wind Power Correlation
摘要
Abstract
With large-scale wind power integration into power grid,the indeterminacy of power system operation is increased. In the actual operation,the wind power outputs are strongly correlated.If the factors above are neglected it will bring larger computational error.The second-order cone programming(SOCP)is mostly used in the single-period optimal power flow calculation which cannot include the indeterminacy and correlation of wind power.Current researches of dynamic stochastic optimal power flow are inadequate to model multiple dimensions of wind power outputs.The computational efficiency is low and the convergence cannot be assured.To solve these problems,a dynamic stochastic optimal power flow model considering wind power correlation based on SOCP is proposed.The multiple dimensions of power outputs are modeled based on the Pair Copula function.Then,the nonlinear dynamic stochastic optimal power flow models are transformed into SOCP models by the convex relaxation.The improved three-point estimation method and the business software of Gurobi are used to solve this model.Compared with the traditional method and other wind power outputs simulation without considering the wind power correlation,the effectiveness and practicability of the proposed method are verified.关键词
多维相关性/PairCopula/动态随机最优潮流/机会约束规划/二阶锥规划Key words
multi-dimensional correlation/Pair Copula/dynamic stochastic optimal power flow(DSOPF)/chance constrained programming/second-order cone programming(SOCP)引用本文复制引用
田园,汪可友,李国杰,葛维春,罗桓桓..计及风电相关性的二阶锥动态随机最优潮流[J].电力系统自动化,2018,42(5):41-47,7.基金项目
国家科技支撑计划资助项目(2015BAA01B02).This work is supported by National Key Technology R&D Program of China(No.2015BAA01B02). （2015BAA01B02）
