4.7 Article

Event-Triggered Hierarchical Multi-Mode Management Strategy for Source-Load-Storage in Microgrids

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IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCSI.2023.3248584

关键词

Microgrids; Stability analysis; Real-time systems; Mathematical models; Wind speed; Regulation; Maximum power point trackers; Microgrid; multi-mode management; hierarchical; event-triggered; small signal model

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In this study, a hierarchical multi-mode management strategy is proposed for restoring the balance of supply and demand in a severely disturbed microgrid. The strategy includes predicting and fitting the support capacity of neighbor microgrids, managing local source-storage-load, and establishing mathematical models for analyzing system stability. The effectiveness of the proposed methods is verified through case studies.
In the multi-microgrid system, once a microgrid is severely disturbed into the alert or emergency state, the effective multi-mode management method is necessary to make the system restore the balance of supply and demand rapidly. Therefore, a hierarchical multi-mode management strategy is proposed in this study, which includes three steps:1. The first step is to predict and fit the support capacity of the neighbor microgrids and to determine whether these microgrids need to participate in the support, which constitutes the upper layer. To this end, an event-triggered mode management strategy is proposed considering the multi-source fitting and line loss factor, etc. 2. When the support of neighbor microgrids is not required, the second step is to manage local source-storage-load to restore the balance of supply and demand rapidly, which constitutes the lower layer. To this end, another event-triggered management strategy is designed to generate management commands without pre-processing data; 3. To establish the mathematical models of a microgrid in hybrid mode consisting of continuous operation status and discrete management commands, the related small signal model is designed as the third step, which can analyze the system stability conveniently. Finally, the effectiveness of methods is verified by case studies.

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