LAPSE:2023.21924
Published Article
LAPSE:2023.21924
Adaptive Droop Gain-Based Event-Triggered Consensus Reactive Power Sharing in Microgrids
Linyun Xiong, Penghan Li, Chao Wang, Sunhua Huang, Jie Wang
March 23, 2023
Abstract
This paper proposes an adaptive droop gain-based consensus approach for reactive power sharing in microgrids (MGs) with the event triggered communication protocol (ETCP). A multi-agent system-based network is constructed to establish the communication with distributed generators (DGs) in MGs. An ETCP is proposed to reduce the communication among agents to save resources and improve system reliability, as the communication is only needed when the event triggered condition is fulfilled. A stability analysis is conducted to guarantee the existence of the equilibrium point and the freeness of the Zeno solution. Moreover, an adaptive droop gain is designed to reduce the impact of imbalanced feeder impedances. Four case studies are conducted to verify the effectiveness and performance of the proposed method. The simulation results show that the ETCP-based approach is capable of achieving power sharing consensus, communication reduction and shifting the information exchange mode based on the operation scenarios.
Keywords
adaptive droop gain, communication, consensus control, ETCP, microgrid, reactive power sharing
Suggested Citation
Xiong L, Li P, Wang C, Huang S, Wang J. Adaptive Droop Gain-Based Event-Triggered Consensus Reactive Power Sharing in Microgrids. (2023). LAPSE:2023.21924
Author Affiliations
Xiong L: State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing 400000, China
Li P: School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University Shanghai, Shanghai 201100, China
Wang C: State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing 400000, China
Huang S: School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University Shanghai, Shanghai 201100, China
Wang J: School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University Shanghai, Shanghai 201100, China
Journal Name
Energies
Volume
13
Issue
5
Article Number
E1152
Year
2020
Publication Date
2020-03-03
ISSN
1996-1073
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Original Submission
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PII: en13051152, Publication Type: Journal Article
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LAPSE:2023.21924
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https://doi.org/10.3390/en13051152
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