基于蒙特卡罗随机选线最优潮流的电压崩溃临界点算法  

An approach for determining voltage collapse critical point based on Monte Carlo stochastic line selection optimal power flow

作　　者：马瑞[1] 袁文伟[1] 

机构地区：[1]长沙理工大学电气与信息工程学院,湖南长沙410076

出　　处：《电力系统保护与控制》2011年第2期65-69,共5页Power System Protection and Control

基　　金：湖南省教育厅优秀青年项目(06B007);清华大学电机系电力系统及发电设备安全控制和仿真国家重点实验室开放基金资助项目(GZH(2007)08)

摘　　要：提出了基于蒙特卡罗随机选线最优潮流的电压崩溃临界点算法。在最优潮流的基础上,融入蒙特卡罗随机选线以及基于负荷预测的负荷正态分布,以系统能够承受的最大负荷为目标函数,对由负荷的不确定性导致的变量随机性建立起相应的机会约束规划,采用非线性规划方法对目标函数进行优化,直接求得满足某一概率约束下的系统最大负荷。以IEEE3机9节点系统为例进行仿真,研究负荷分布和蒙特卡罗随机抽样下的支路切除对电力系统电压崩溃点的影响,计算出不同情况下的电压崩溃临界点,以此检验此模型的有效性。An approach for determining voltage collapse critical point based on Monte Carlo stochastic line selection optimal power flow is presented.The static voltage characteristic and load normal distribution based on load forecasting are added to optimal power flow model. And it uses the maximum load that the system can afford as the objective function,establishes the corresponding chance-constrained programming of variables randomness caused by load uncertainty,and then optimizes it directly by the way of nonlinear programming,with the purpose of obtaining the maximal load that subjects to certain probability.At last,it uses the IEEE 3-generator 9-bus system as the example and simulates it,mainly studies the influence of the load probability distribution and static load characteristic on voltage collapse critical point,and calculates voltage collapse critical point of different positions,so as to testify the validity of this approach.

关 键 词：蒙特卡罗方法 随机最优潮流 概率约束 系统极限负荷 电压崩溃临界点 蒙特卡罗随机选线 

分 类 号：TM744[电气工程—电力系统及自动化]