电网技术Issue(9)：2474-2479,6.
基于输入随机变量离散数据的概率潮流计算方法
A Probabilistic Load Flow Calculation Method Based on Discrete Data of Input Random Variable
摘要
Abstract
Based on measured discrete data the output characteristics of wind farm is researched, and the contrastive analysis on accuracies of traditional modeling methods for wind farm output is performed. In allusion to the situation that in existing Latin hypercube sampling based Monte Carlo simulation method the cumulative distribution function should be known, a probabilistic power flow calculation method based on discrete data of input random variable is proposed. On the basis of results of Monte Carlo simulation based on simple random sampling, the effectiveness of the proposed method is validated by IEEE 57-bus system connected with a wind farm. Simulation results show that the proposed method is effective and possesses advantages such as fast calculation, high accuracy and satisfied robustness, so it is available for engineering practice.关键词
风电场出力/概率潮流/拉丁超立方采样/蒙特卡罗仿真法Key words
wind farm power output/probabilistic load flow/Latin hypercube sampling/Monte Carlo simulation method分类
信息技术与安全科学引用本文复制引用
蔡德福,石东源,李高望,陈金富..基于输入随机变量离散数据的概率潮流计算方法[J].电网技术,2013,(9):2474-2479,6.基金项目
国家863高技术基金项目(2011AA05A101，2011AA05A109)；国家重点基础研究发展计划项目(973项目)(2009CB219701)；国家自然科学基金项目(50937002)；南方电网公司科技项目(CSG[2013]0301ZD1)。The National High Technology Research and Development of China 863 Program (2011AA05A101,2011AA05A109) （2011AA05A101，2011AA05A109）
The National Basic Research Program of China (973 Program)(2009CB219701) （973 Program）
Project Supported by National Natural Science Foundation of China (50937002) （50937002）
