Parameter Identification Method for Composite Load Model Based on Improved Quantum Particle Swarm Optimization-Reference-Cited by-同舟云学术

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Parameter Identification Method for Composite Load Model Based on Improved Quantum Particle Swarm Optimization

Published:2023-07-11 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 13th International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER)
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Author:

Li Zihao¹,Hu Jianxiong¹,Zheng Chengyi¹,Tang Yi¹

Affiliation:

1. Southeast University,Electrical Engineering,Nanjing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10256259/10256261/10256464.pdf?arnumber=10256464

Reference21 articles.

1. Imitation and transfer Q-learning-based parameter identification for composite load modeling;xie;IEEE Transactions on Smart Grid,2014

2. Determining PV Penetration for Distribution Systems With Time-Varying Load Models

3. Parameter identification of load models based on chaotic ant colony algorithm;binxiao;Power system protection and control,2011

4. Improved genetic algorithm for identifying comprehensive load models;minxiao;Journal of Power Systems and Automation,2011

5. Quantum-behaved particle swarm optimization algorithm based on bounded mutation;xing;Computer Engineering,2008

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