摘要
随着电力系统运行环境的复杂化,系统运行状态的不确定性因素多元化,给电力系统分析带来了新的挑战。区间潮流因其建模简单等优点而成为不确定性潮流分析的主流方法之一。该文以算法的基本原理和优缺点为立足点,对电力系统区间潮流算法研究进行综述。首先,简要介绍区间潮流分析方法的发展、原理、计算模型等,并阐述了区间潮流在电力系统不确定性分析中的应用情况。然后,按照算法的不同原理将区间潮流算法分为3大类:区间迭代法、仿射优化法和直接优化法,并逐一详细介绍不同算法的基本原理、计算步骤及优缺点和适用范围。最后,指出区间潮流分析在今后研究中有待解决的问题及研究方向。
As the power system operating conditions getting complicated, the uncertainties of the power system state are diversified, which brings new challenges to the power system analysis. Interval power flow analysis is one of the mainstream methods to solve uncertain power flow problem due to its simple modeling. This paper intended to make a brief survey on the algorithms for interval power flow by proceeding from the basic principles of the algorithms and their advantages and disadvantages. First, the problems studied by interval power flow were briefly introduced, including the development, principle and calculation model of the interval power flow, followed by the applications of the interval power flow in the power system uncertain analysis. Then, according to the different principles of the algorithms, the interval power flow algorithms were divided into three categories: interval iterative method, affine optimization method and direct optimization method, and the basic principles, calculation steps of different algorithms were introduced in detail, followed by their advantages and disadvantages and applicable scope. Finally, the key problems to be investigated and lines of future research for the interval power flow analysis needs to be solved in the future research were discussed.
作者
廖小兵
刘开培
乐健
朱蜀
李奔
吴强
秦亮
邓长虹
LIAO Xiaobing;LIU Kaipei;LE Jian;ZHU Shu;LI Ben;WU Qiang;QIN Liang;DENG Changhong(School of Electrical Engineering and Automation,Wuhan University,Wuhan 430072,Hubei Province,China;State Grid Hubei Ezhou Power Supply Company,Ezhou 436000,Hubei Province,China)
出处
《中国电机工程学报》
EI
CSCD
北大核心
2019年第2期447-458,共12页
Proceedings of the CSEE
基金
国家重点研发计划项目(2017YFB0903705)~~
关键词
不确定性
区间潮流
区间分析
区间迭代
仿射算术
直接优化
uncertainties
interval power flow
interval analysis
interval iterative
affine arithmetic
direct optimization