PMU Based Online Dynamic Characteristic Assessment Method of Smart Distribution Network

被引:0
|
作者
Zheng X. [1 ]
He W. [2 ]
Wang S. [1 ]
Liu J. [2 ]
Li C. [1 ]
Fang C. [2 ]
Zhou Y. [1 ]
Zhu Y. [1 ]
Li Y. [1 ]
机构
[1] State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, Wuhan, 430074, Hubei Province
[2] State Grid Shanghai Municipal Electric Power Company, Pudong New District, Shanghai
来源
关键词
Dynamic characteristics assessment; Dynamic index; PMU; Smart distribution network;
D O I
10.13335/j.1000-3673.pst.2018.2762
中图分类号
学科分类号
摘要
An online assessment method based on the synchronous measurement data of phasor measurement units (PMUs) is proposed for the dynamic characteristics of smart distribution network (SDN). Following the principles of scientificity, integrity, practicability, and comparability, a multi-dimensional dynamic index system, able to fully represent SDN dynamic characteristics, is constructed. The index system consists of 9 node dynamic indicators, 6 branch dynamic indicators, and 30 comprehensive dynamic indicators. The online evaluation process is stated in detail for applying the proposed method. The proposed method does not need the topology information and parameters of the evaluated SDN, but only based on PMU data. Thus, the proposed method is suitable for evaluating SDN operation mode and topology changing with time. Also, applying the proposed method, the control effectiveness can be judged by comparing the evaluated results of the dynamic characteristics before and after use of control measures exerting over SDN. In order to verify effectiveness of the proposed method, a modified IEEE 33-node distribution network is simulated in MATLAB to generate the simulation data of PMU synchronous measurement data, and the dynamic characteristics of the network is analyzed. Results show that the proposed method is suitable to evaluate online SDN dynamic characteristics. © 2019, Power System Technology Press. All right reserved.
引用
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页码:3210 / 3217
页数:7
相关论文
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