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文章摘要
一种考虑孤岛运行和可再生能源出力不确定性的有源配电网供电可靠性分析方法
An active distribution network reliability analysis method considering renewable generation uncertainties and islanding operations
Received:August 03, 2020  Revised:August 13, 2020
DOI:10.19753/j.issn1001-1390.2023.12.017
中文关键词: 关键字:分布式可再生能源  孤岛运行  可靠性  蒙特卡洛
英文关键词: Keywords: Distributed renewable energy, Island operations , Reliability, Monte Carlo simulation method
基金项目:国家重点研发计划(2018YFE0208400),国家电网有限公司总部科技项目《面向跨境互联的多能互补新型能源系统关键技术研究》资助
Author NameAffiliationE-mail
朱良管 杭州电子科技大学 860766024@qq.com 
曾平良* 杭州电子科技大学 plzeng@hotmail.com 
刘恺诚 中国电力科学研究院 liukaicheng@epri.sgcc.com.cn 
丰俊杰 杭州电子科技大学 topdding@163.com 
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中文摘要:
      摘要:随着分布式可再生能源并网比例的不断提高,配电网安全运行控制变得更加复杂,给供电可靠性分析带来新的挑战。本文提出一种考虑孤岛运行和可再生能源出力不确定性的有源配电网供电可靠性分析方法。首先,建立配电网关键元件及可再生能源场站设备可靠性模型,在此基础上,分析可再生能源资源概率分布,提出可再生能源潜在出力(REPO)多状态模型,进而建立考虑场站设备可靠性的可再生能源发电多状态模型,其次,利用馈线分区的概念划分孤岛运行范围,分析孤岛运行对供电可靠的影响,最后,基于序贯蒙特卡洛模拟法建立了有源配电网供电可靠性分析方法。并利用IEEE RBTS测试系统进行仿真,验证了所提方法的有效性。
英文摘要:
      With the increasing penetration of distributed renewable energy connected to the distribution network, the safe operation and control of the distribution network becomes more complex, which brings new challenges to the reliability analysis of power supply. This paper presents a new power supply reliability analysis method for active distribution networks considering the renewable generation output uncertainties and islanding operation. Firstly, a two state reliability model are established key components of distribution networks and renewable generation equipment, and based on the probability distribution analysis of renewable energy resources, such as wind and solar, a multi-state reliability model for potential renewable power output (REPO) has been developed, which leads to the proposal of a multi-state reliability model for renewable power stations considering equipment conditions. Secondly, the concept and benefit of islanding operation by the feeder partition with embedded distributed generation were analyzed, its impact on power supply and reliability analysis were modelled. Finally, an active distribution reliability analysis method based using sequential Monte Carlo simulation technique is used to assess the active power distribution network power supply reliability. The effectiveness of the proposed method is verified and applied using an IEEE RBTS test system.
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