Distributed Economic Dispatch of Multi-Microgrid Considering Environmental Cost

Based on the multi-agent consensus algorithm, a distributed economic dispatch strategy for multi-microgrid considering environmental costs is proposed. Different from the traditional centralized optimization method, this strategy takes the lowest operating cost of the generator set as the objective function and combines power balance of the multi-microgrid and output constraint of power generation unit. It can cope with technical requirements of multi-microgrid system including topological changes and “plug and play”, and is closer to the actual power generation cost as considering the environmental cost. Through distributed optimization, the communication burden can be reduced and economic dispatch of multi-microgrid achieved. The effectiveness and flexibility of this strategy are proved by simulation and analysis.

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Publication Details

Published
2024-09-20
DOI
https://doi.org/10.1109/csis-iac63491.2024.10919290
Primary Topic
Microgrid Control and Optimization
Type
article
Field-Weighted Citation Impact
0.00

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article

Distributed Economic Dispatch of Multi-Microgrid Considering Environmental Cost

Yulian Jiang, Shenquan Wang, Gang Hu, Y. B. Wang
Microgrid Control and Optimization
article

Distributed Economic Dispatch of Multi-Microgrid Considering Environmental Cost

Yulian Jiang, Shenquan Wang, Gang Hu, Y. B. Wang
article en

Abstract

Based on the multi-agent consensus algorithm, a distributed economic dispatch strategy for multi-microgrid considering environmental costs is proposed. Different from the traditional centralized optimization method, this strategy takes the lowest operating cost of the generator set as the objective function and combines power balance of the multi-microgrid and output constraint of power generation unit. It can cope with technical requirements of multi-microgrid system including topological changes and “plug and play”, and is closer to the actual power generation cost as considering the environmental cost. Through distributed optimization, the communication burden can be reduced and economic dispatch of multi-microgrid achieved. The effectiveness and flexibility of this strategy are proved by simulation and analysis.

Changchun University of Technology (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 64%
Microgrid Control and Optimization
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