引用本文:朱立轩,万灿,鞠平.计及不确定性的电力系统区间分析研究综述[J].电力自动化设备,2023,43(7):
ZHU Lixuan,WAN Can,JU Ping.Review on power system interval analysis considering uncertainty[J].Electric Power Automation Equipment,2023,43(7):
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计及不确定性的电力系统区间分析研究综述
朱立轩1, 万灿2, 鞠平1
1.河海大学 能源与电气学院,江苏 南京 210098;2.浙江大学 电气工程学院,浙江 杭州 310027
摘要:
电力系统的不确定性逐步增强,如何合理表征不确定性因素并分析其对电力系统带来的影响是目前和未来研究的突出问题。对比常见不确定性分析方法,以不确定性区间分析方法为重点,将系统分析问题分为不确定性稳态区间分析和不确定性动态区间分析2个方面。首先,对电力系统不确定性因素的区间预测框架和方法进行了阐述;其次,针对不确定性稳态区间问题,从区间潮流和区间不确定性决策2个方面进行概括,并讨论了现有的不确定性稳态区间分析方法;然后,针对不确定性动态区间问题,从动态波动区间分析和稳定区间分析2个方面进行概括,并讨论了现有的不确定性动态区间分析方法;最后,对计及不确定性的电力系统区间分析研究进行展望。
关键词:  电力系统  区间不确定性  稳态  动态
DOI:10.16081/j.epae.202304020
分类号:TM711
基金项目:国家自然科学基金资助项目(51837004, U2066601,52277130);“111”计划(B14022)
Review on power system interval analysis considering uncertainty
ZHU Lixuan1, WAN Can2, JU Ping1
1.College of Energy and Electrical Engineering, Hohai University, Nanjing 210098, China;2.College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
Abstract:
The uncertainty of power system is gradually increasing. How to reasonably characterize the uncertainties and accurately analyze the impact on power system is a prominent issue for current and future researches. By comparing various uncertainty representations and focusing on interval uncertainty, the power system uncertain problems are divided into two categories of steady state interval analysis and dynamic interval analysis. Firstly, the interval prediction framework and method of uncertain factors in power system analysis are elaborated. Secondly, for the interval steady state problems, existing methods are reviewed and discussed from two perspectives of interval power flow and interval decision-making problems. Then, for the interval dynamic problems, existing interval analysis methods are reviewed and discussed from two perspectives of dynamic fluctuation and dynamic stability. Finally, the prospect of power system analysis considering interval uncertainty is discussed.
Key words:  electric power systems  interval uncertainty  steady state  dynamic state

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