A novel event-triggered secondary control strategy for microgrid considering time-varying delay

• Introduces a hybrid event-triggered mechanism for optimized microgrid communications.. • Validates control strategy stability using Lyapunov theory for voltage and frequency regulation. • Ensures adaptability to diverse network topologies with minimal deployment requirements. To enhance the efficiency of communication in distributed microgrids (MGs), this study introduces a novel event-triggered secondary control strategy that incorporates time-varying delays. Unlike traditional continuous event-triggered controls that risk Zeno behavior, and periodic controls that fail to utilize all data effectively, compromising control quality and real-time performance, this strategy employs a hybrid approach. Each distributed generator (DG) within the MG is treated as an agent, and the control system is designed based on multi-agent consensus theory, allowing for a dynamic switch between periodic sampling and continuous event triggering. The formulation of the event-triggered function for the secondary controller is detailed, and its stability is validated using Lyapunov stability theory. Simulation results confirm that this innovative controller achieves precise secondary regulation of voltage and frequency, along with accurate power sharing among DGs, significantly reducing the need for frequent communication.

Authors

Institutions

Publication Details

Journal
International Journal of Electrical Power & Energy Systems
Published
2024-09-23
DOI
https://doi.org/10.1016/j.ijepes.2024.110255
Citations
4
Primary Topic
Microgrid Control and Optimization
Type
article
Field-Weighted Citation Impact
1.31

Funders

Controls
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article

A novel event-triggered secondary control strategy for microgrid considering time-varying delay

Lingyu Ma, Chao Qin, Shanchen Pang, Jiancheng Zhang
4 citations
International Journal of Electrical Power & Energy Systems
Microgrid Control and Optimization
1.31
article

A novel event-triggered secondary control strategy for microgrid considering time-varying delay

Lingyu Ma, Chao Qin, Shanchen Pang, Jiancheng Zhang
article en
4 citations

Abstract

• Introduces a hybrid event-triggered mechanism for optimized microgrid communications.. • Validates control strategy stability using Lyapunov theory for voltage and frequency regulation. • Ensures adaptability to diverse network topologies with minimal deployment requirements. To enhance the efficiency of communication in distributed microgrids (MGs), this study introduces a novel event-triggered secondary control strategy that incorporates time-varying delays. Unlike traditional continuous event-triggered controls that risk Zeno behavior, and periodic controls that fail to utilize all data effectively, compromising control quality and real-time performance, this strategy employs a hybrid approach. Each distributed generator (DG) within the MG is treated as an agent, and the control system is designed based on multi-agent consensus theory, allowing for a dynamic switch between periodic sampling and continuous event triggering. The formulation of the event-triggered function for the secondary controller is detailed, and its stability is validated using Lyapunov stability theory. Simulation results confirm that this innovative controller achieves precise secondary regulation of voltage and frequency, along with accurate power sharing among DGs, significantly reducing the need for frequent communication.

International Journal of Electrical Power & Energy SystemsVol. 162
Shandong Management University (CN), Qilu Normal University (CN), China University of Petroleum, East China (CN)
Natural Science Foundation of Shandong Province, Key Technologies Research and Development Program, National Key Research and Development Program of China
Openalex Percentile: Top 19%
Microgrid Control and Optimization
1.31
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A novel event-triggered secondary control strategy for microgrid considering time-varying delay — Lingyu Ma, Chao Qin, et al. · International Journal of Electrical Power & Energy Systems (2024) | TGRS Research Map | TGRS