基于蒙特卡洛法风电场谐波叠加可靠性评估  

Harmonic Superposition Reliability Evaluation in Wind Farm Based on Monte-Carlo Method

作　　者：王嘉毅[1] 张延迟[1] 杨宏坤 徐祥平 高海凌[1] 

机构地区：[1]上海电机学院电气学院,上海01306 [2]上海电气风电设备有限公司,上海200241

出　　处：《电器与能效管理技术》2015年第22期52-58,共7页Electrical & Energy Management Technology

基　　金：国家自然科学基金项目(51277119);上海市教育委员会科研创新项目(10YZ217)

摘　　要：为了应对风电场谐波电流相位的离散性,提出了一种风电场谐波电流叠加的可靠性评估方法。在风电场风机谐波相位分布分析的基础上,结合单机组的谐波幅值概率模型,使用大量的实测数据相应地建立了可靠的统计模型。通过蒙特卡洛法多次对风电场各机组输出的谐波电流幅值和相位进行模拟和统计计算,试验求解风电场内出现叠加效应最强情况,有效评估出最坏状况以及均值,回避了风电场并网点谐波的不确定性问题,具有直接解决问题的能力。仿真表明,建立风电场谐波统计模型具有工程实际意义,通过蒙特卡洛法模拟叠加状况具有一定的可靠性。In order to deal with the discrete distribution of harmonic current phase of wind farms, a reliability evaluation method concerned with superposition of harmonic current in wind farms was proposed. Based on the analysis of the harmonic phase distribution in the wind farm, combined with the harmonic amplitude probability model of the single unit, a reliable statistical model with a large number of measured data was established, Through repeatedly simulating and statistical calculating the aggregation of harmonic current amplitude and phase in wind farm with Monte-Carlo method,experiments can get the strongest states of the superposition of harmonic currents , effectively evaluate the worst situation and obtain its average. This method effectively avoided the uncertainty of harmonic phase in wind farm and has the ability to solve the problem directly. The simulation shows that the statistical model of harmonic eurrent in wind farm has engineering practical significance, and the simulation of harmonic superposition state by Monte-Carlo method has certain reliability.

关 键 词：风电场 双馈风力发电系统 谐波电流相角 概率分布 蒙特卡洛法 

分 类 号：TM614[电气工程—电力系统及自动化]