摘要
电力电子化电力系统的多时间尺度分析,与传统的单一时间尺度研究有根本的不同,不仅要建立多时间尺度模型,且建模过程必须要考虑计算方法,即模型和算法不能单独存在,这样才能准确描述电力电子化电力系统的多时间尺度特性。文中基于多时间尺度分析理念,综述电力电子化电力系统多时间尺度建模与算法相关性研究现状。为此,首先分析现有多时间尺度算法及其适用范围;进而基于相同数学形式模型可以采用相同算法计算的准则,将电力电子化电力系统划分为元器件机理、切换系统、电磁暂态、机电暂态4个时间尺度。然后,通过不同时间尺度模型之间的相关性,探讨多时间尺度模型的性质,阐明多时间尺度模型与算法的相互制约关系。最后,提出电力电子化电力系统多时间尺度建模与算法待解决的问题及研究展望。
Multi-time-scale analysis of power-electronized power systems is fundamentally different from traditional single-timescale research.In addition to building the multi-time-scale model,the algorithm must be considered in the modeling process,which means that models and algorithms cannot exist alone.In this way,the multi-time-scale characteristics of the power-electronized power system can be described accurately.Based on the concept of multi-time-scale analysis,this paper summarizes the current research of the interrelationship between the multi-time-scale modeling and algorithm of the power-electronized power system.So,the current multi-time-scale algorithms and their application ranges are first analyzed.Subsequently,based on the criterion that the same mathematical model can be calculated with the same algorithm,the power-electronized power system is divided into four time scales:component mechanism scale,switching system scale,electromagnetic transient scale and electromechanical transient scale.Then,through the correlation between different time-scale models,the natures of multi-timescale models are discussed,and the interrelationships between multi-time-scale models and algorithms are clarified.Finally,problems to be solved and research prospects in multi-time-scale modeling and algorithm of the power-electronized power system are proposed.
作者
陈垣
张波
谢帆
丘东元
陈艳峰
CHEN Yuan;ZHANG Bo;XIE Fan;QIU Dongyuan;CHEN Yanfeng(School of Electric Power,South China University of Technology,Guangzhou 510640,China)
出处
《电力系统自动化》
EI
CSCD
北大核心
2021年第15期172-183,共12页
Automation of Electric Power Systems
基金
国家重点研发计划资助项目(2018YFB0905804)。
关键词
电力电子化电力系统
多时间尺度
算法
模型
相关性
power-electronized power system
multi-time scale
algorithm
model
interrelationship