电力系统自动化Issue(7)：35-40,6.DOI:10.7500/AEPS20141008012
基于数字网系方法的概率最优潮流计算
Probabilistic Optimal Power Flow Calculation Based on Digital Nets Method
潘雄 1张龙 2黄家栋 3王莉莉 4吴瑞华4
作者信息
- 1. 云南电网公司电网规划研究中心，云南省昆明市 650011
- 2. 华北电力大学云南电网公司研究生工作站，云南省昆明市 650217
- 3. 国网河南省电力公司电力科学研究院，河南省郑州市 450003
- 4. 新能源电力系统国家重点实验室 华北电力大学，河北省保定市 071003
- 折叠
摘要
Abstract
With large-scale integration of wind farms and photovoltaic plants into the power system,it becomes necessary to take the wind power and photovoltaic power uncertainty into consideration during optimal power flow (OPF) calculation.The traditional Monte Carlo simulation method cannot be used for the thousands of stochastic simulations required to achieve a rational result.Hence the digital nets (DN) method with equivalent distribution sample values is proposed to improve the sample value coverage of random variable input spaces.And the method is used in the OPF calculation of power system containing wind farms and photovoltaic plants.The accuracy and validity of the proposed method tested on an IEEE 30-bus system and the simulation results show that the proposed method has the advantages of fast computation and high accuracy while capable of estimating the probability distribution of the output random variables and dealing with the uncertainties in the electricity market.Then the DN method is applied to an IEEE 300-bus system to study the influence of different capacities of photovoltaic plants on the location marginal price.Furthermore,a comparison between the wind farm/photovoltaic plant hybrid system and single wind farm system has led to the conclusion that the location marginal price,net loss and branch active power of the former are less volatile.关键词
van der Corput序列/拟蒙特卡洛法/概率最优潮流/风电场/光伏电站Key words
van der Corput sequence/quasi Monte Carlo method/probabilistic optimal power flow/wind farm/photovoltaic plant引用本文复制引用
潘雄,张龙,黄家栋,王莉莉,吴瑞华..基于数字网系方法的概率最优潮流计算[J].电力系统自动化,2015,(7):35-40,6.
