|国家科技期刊平台
首页|期刊导航|中国电机工程学报|电力系统在线安全稳定计算分析技术综述与展望

电力系统在线安全稳定计算分析技术综述与展望OA北大核心CSTPCD

Review and Prospects of Online Calculation and Analysis Techniques for Power System Security and Stability

中文摘要英文摘要

在线安全稳定计算分析技术是电力调度部门准确感知电网实时运行状态并做出正确评估决策的重要支撑.随着新型电力系统动态特性愈发复杂与随机,以稳态、非同步量测数据为基础的传统在线安全稳定分析体系逐渐表现出实时性和准确性上的不足,而以动态、同步相量量测数据为基础的新一代在线安全稳定分析技术愈发受到国内外相关科研及工程领域的关注.基于此,该文就实时状态感知、动态参数辨识和在线稳定评估3个核心组成部分对现有在线安全稳定计算分析体系所涉及的关键技术及瓶颈难题进行综述,并进一步提出新一代在线安全稳定计算分析技术的总体框架和未来研究方向,以期为新型电力系统安全稳定运行提供可靠技术保障.

Online security and stability calculation and analysis technologies provide crucial support for the accurate perception of real-time grid operation status and correct decision-making for the power dispatching sector.With the increasingly complex and stochastic dynamic characteristics of new power systems,traditional online security and stability analysis systems based on steady-state and asynchronous measurement data have shown deficiencies in real-time and accuracy.In contrast,the new generation of online security and stability analysis technology based on dynamic and synchronous phasor measurement data has attracted attention from research and engineering communities both domestically and internationally.In this context,this paper reviews the key technologies and bottlenecks involved in the existing online security and stability calculation and analysis systems,focusing on real-time state perception,dynamic parameter identification,and online stability assessment as core components.Furthermore,the overall framework and possible future research directions for the next generation of online security and stability computation and analysis systems are proposed,with the aim of providing reliable technical support for the safe and stable operation of new power systems.

韩英铎;陆超;宋文超;吴沛萱;方浩男;刘维承

清华大学电机工程与应用电子技术系,北京市海淀区 100084

动力与电气工程

安全稳定计算实时状态感知动态参数辨识在线稳定评估

stability and safety calculationreal-time state awarenessdynamic parameter identificationonline stability assessment

《中国电机工程学报》 2024 (017)

6733-6760 / 28

国家自然科学基金项目(U2066601).Project Supported by National Science Foundation of China(U2066601).

10.13334/j.0258-8013.pcsee.241827

评论