Parameter Identification of SVG Using Multilayer Coarse-to-Fine Grid Searching and Particle Swarm Optimization-Reference-Cited by-同舟云学术

Parameter Identification of SVG Using Multilayer Coarse-to-Fine Grid Searching and Particle Swarm Optimization

Author:

Gao Huimin¹,Diao Ruisheng²^ORCID,Huang Zhuo³,Zhong Yi³,Mao Yanfang⁴,Tang Wenbin⁴

Affiliation:

1. Hangzhou Dianzi University Information Engineering College, Hangzhou, China

2. ZJU-UIUC Institute, Zhejiang University, Haining, China

3. College of Automation, Hangzhou Dianzi University, Hangzhou, China

4. State Grid Nantong Power Supply Company, Nantong, China

Funder

Natural Science Foundation of Zhejiang Province

National Natural Science Foundation of China

Information Engineering College, Hangzhou Dianzi University, through the Science Research Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

Reference19 articles.

3. Hardware-in-the-loop simulation test of dynamic voltage regulator controller based on RTDS;kui;Journal of Power Electr,2021

4. An improved modular SVG parallel interleaving modulation method;jiaxiang;Power Syst Protection Control,2019

5. Parameter identification of short parallel double-lines based on a modified unscented Kalman filter;tao;Power Syst Protection Control,2021

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