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电力系统惯性的时空特性及分析方法 被引量:75

Temporal and Spatial Characteristics of Power System Inertia and Its Analysis Method
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摘要 随着风电及光伏渗透率的提高,电力系统的惯性在特点及形式上发生新的变化。传统的电力系统惯性研究主要集中在系统或区域层面,没有针对电力系统各节点进行惯性研究,无法把握电力系统惯性的时空特性,难以为系统安全稳定运行提供更多有价值的细节信息。针对这一问题,该文从惯性的物理属性出发,首先,对电力系统的惯性特征进行阐述;然后,定义电力系统的节点惯性,并给出其物理解释和表征方法;其次,基于节点频率在大扰动下和小扰动下的动态特性,分析电力系统惯性的时空特性,并从小扰动下节点频率频谱中提取指标对惯性时空特性进行可视化,实现对电力系统惯性的实时监控。最后,以10机39点系统为例进行仿真分析,验证所提方法的有效性。 With the increasing of wind power and photovoltaic penetrations,the power system inertia has changed in characteristics and forms.Traditional power system inertia researches mainly focused on the system or regional level analysis and few mentioned the inertia of each system node,therefore,it is difficult to analysis the temporal and spatial characteristics of power system inertia and more valuable details are hardly provided for the system safety and stability analysis.To cope with this problem,the physical attributes of inertia in power systems,and then proposed the concept of node inertia and its physical interpretation/representation were illustrated.After that,based on the dynamic characteristics of node frequencies under large and small disturbances,methods for the temporal and spatial characteristics of power system inertia analysis were proposed,followed by a visualization method which provides real-time monitoring of power system inertia distribution.Simulations were carried out in the 10-machine 39-bus system,and results validate the proposed method.
作者 曾繁宏 张俊勃 ZENG Fanhong;ZHANG Junbo(School of Electric Power,South China University of Technology,Guangzhou 510641,Guangdong Province,China)
出处 《中国电机工程学报》 EI CSCD 北大核心 2020年第1期50-58,共9页 Proceedings of the CSEE
基金 国家自然科学基金项目(51761145106) 广东省自然科学基金项目(2018B030306041,2016A030313477)~~
关键词 电力系统惯性 惯量支撑 节点频率 节点惯性 时空特性 power system inertia inertia support node frequency node inertia temporal and spatial characteristics
作者简介 曾繁宏(1994),男,硕士研究生,研究方向为电力系统稳定与控制、电力系统惯性辨识”zeng.fh@mail.scut.edu.cn;张俊勃(1986),男,博士,教授,研究方向为电力系统信号处理、系统辨识、态势感知和人工智能决策控制,epjbzhang@scut.edu.cn。
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