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考虑负荷概率分布的随机最优潮流方法
引用本文:胡泽春,王锡凡.考虑负荷概率分布的随机最优潮流方法[J].电力系统自动化,2007,31(16):14-18.
作者姓名:胡泽春  王锡凡
作者单位:1. 上海交通大学电子信息与电气工程学院,上海市,200240
2. 西安交通大学电气工程学院,陕西省西安市,710049
基金项目:国家重点基础研究发展计划(“973计划”)
摘    要:针对考虑负荷概率分布的随机最优潮流问题,建立了相应的机会约束规划模型。基于经典最优潮流问题的内点法和随机潮流方法,设计了求解该模型的一种启发式方法。该方法以确定性负荷最优潮流计算结果为基础,通过求取受机会约束的变量的概率分布判断概率约束是否满足。若不满足,则根据变量分布和等效的机会约束,形成新的上下限约束,继续计算负荷为期望值时的最优潮流,直至所有概率约束满足。对5节点和IEEE 118节点系统的测试表明该算法的有效性。

关 键 词:最优潮流  随机潮流  负荷概率分布  机会约束规划  内点法
收稿时间:2006/11/21 0:00:00
修稿时间:7/28/2007 5:05:15 PM

Stochastic Optimal Power Flow Approach Considering Load Probabilistic Distributions
HU Zechun,WANG Xifan.Stochastic Optimal Power Flow Approach Considering Load Probabilistic Distributions[J].Automation of Electric Power Systems,2007,31(16):14-18.
Authors:HU Zechun  WANG Xifan
Abstract:A chance constrained programming model is built to the stochastic optimal power flow problem(S-OPF)considering load probabilistic distributions.Based on the interior point method for deterministic optimal power flow(D-OPF)and probabilistic load flow method,a heuristic solution approach is proposed to solve the model.This approach makes use of the results of D-OPF and checks if the chance constraints are satisfied through obtaining distributions of the chance constrained variables.If a chance constraint is violated,new upper and lower bounds to the corresponding variable are formed based on the distribution and equivalent chance constraint of the variable.Then a new D-OPF with loads equal to their expect values is solved.The iteration terminates till all the chance constraints are satisfied.Tests on a 5-bus system and the IEEE 118-bus system show the effectiveness of the proposed method.
Keywords:optimal power flow  probabilistic power flow  load probabilistic distribution  chance constrained programming  interior point method
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