文章摘要
基于晴空指数与波动特性的光伏电站可靠性分析
Reliability Analysis for the PV Power Plant Based on the Clearness Index and Variability Characteristic
投稿时间:2018-05-22  修订日期:2018-07-03
DOI:
中文关键词: 光伏电站  可靠性模型  晴空指数  波动特性  状态划分  序贯蒙特卡洛模拟
英文关键词: PV power plant  reliability model  clearness index  variability characteristic  state division  Monte Carlo simulation
基金项目:
作者单位E-mail
宗炫君 国网江苏省电力有限公司经济技术研究院 jssfnxzxj@126.com 
袁越 河海大学能源与电气学院  
蒋科 中国能源江苏集团江苏省电力设计院有限公司  
邹盛 国网江苏省电力有限公司经济技术研究院  
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中文摘要:
      为分析光伏电站并网对发电系统可靠性的影响,建立了基于晴空指数和波动特性的光伏电站多状态可靠性模型,提出了等间隔与等频的状态划分原则,并根据不同坐标顺序给出两种状态划分方式。采用序贯蒙特卡洛模拟技术评估含光伏电站发电系统的可靠性,基于Roy Billinton测试系统(RBTS)的仿真结果表明:仿真结果与实测数据相吻合,证实模型的合理性;光伏电站等频原则kDCI/VI划分方式下的可靠性模型能够有效提高分析精度。#$NL关键词:光伏电站;可靠性模型;晴空指数;波动特性;状态划分;序贯蒙特卡洛模拟#$NL中图分类号:TM615
英文摘要:
      In order to analyze the reliability of the generation system with PV power plant,a multi-state reliability model of PV power plant is established based on the clearness index and variability characteristic,a state division principle of equal interval and equal frequency is proposed,and two state division methods according to different coordinate orders are gave. Then sequential Monte Carlo simulation technology is utilized to assess the reliability of generation system with PV power plant. Simulation results on Roy Billinton test system(RBTS)are in line with measured data demonstrate the rationality of proposed model. Finally, the results show that the model with equal frequency division principle and kDCI/VI state division method can get more accurate results in reliability analysis of the generation system with PV power plant.#$NLKeywords: PV power plant; reliability model; clearness index; variability characteristic; state division; Monte Carlo simulation
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