Research on Distributed Control Strategies Based on Microgrid Power Mutual Assistance

To meet the development needs of new-type distribution networks, this paper proposes a distributed hierarchical control strategy based on honeycomb-like distribution network topology. Initially, we define the relevant concepts of microgrids (MGs) and establish a multi-layer control architecture based on the honeycomb-shaped distribution network. Subsequently, the paper designs methods for autonomous operation and hierarchical running of each MG area: each MG formulates day-ahead operation plans according to its own source-load characteristics; MGs achieve interaction of energy and information through base stations, while the distribution network operation center adopts the alternating direction method of multipliers (ADMM) as a distributed algorithm to realize power allocation among MGs; MGs connect with the distribution network via connection points to satisfy their energy balance. Finally, through case studies, the proposed control strategy is verified to alleviate the control burden of distribution network operators.

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Publication Details

Published
2024-12-27
DOI
https://doi.org/10.1109/isneet64164.2024.10956049
Primary Topic
Power Systems and Renewable Energy
Type
article
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article

Research on Distributed Control Strategies Based on Microgrid Power Mutual Assistance

Nuoling Sun, Hao 浩 Chen 陈
Power Systems and Renewable Energy
article

Research on Distributed Control Strategies Based on Microgrid Power Mutual Assistance

Nuoling Sun, Hao 浩 Chen 陈
article en

Abstract

To meet the development needs of new-type distribution networks, this paper proposes a distributed hierarchical control strategy based on honeycomb-like distribution network topology. Initially, we define the relevant concepts of microgrids (MGs) and establish a multi-layer control architecture based on the honeycomb-shaped distribution network. Subsequently, the paper designs methods for autonomous operation and hierarchical running of each MG area: each MG formulates day-ahead operation plans according to its own source-load characteristics; MGs achieve interaction of energy and information through base stations, while the distribution network operation center adopts the alternating direction method of multipliers (ADMM) as a distributed algorithm to realize power allocation among MGs; MGs connect with the distribution network via connection points to satisfy their energy balance. Finally, through case studies, the proposed control strategy is verified to alleviate the control burden of distribution network operators.

Fujian Electric Power Survey & Design Institute (CN)
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Power Systems and Renewable Energy
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