A Decentralized Optimal Economic Dispatch Control of Cascaded‐Type DC Microgrids With Capacity and Load Voltage Constraints

ABSTRACT Maintaining a high‐quality power supply and cost‐effective operation is significant for microgrids. This paper investigates the optimization problem of minimizing the total generation costs (TGCs) of cascaded‐type DC microgrids, subject to capacity and load voltage. To solve this problem, a novel decentralized optimal economic dispatch control strategy is proposed; it has an economic impact on power dispatch in a communication‐free manner. That is, TGCs of cascaded‐type DC microgrids are minimized. The method allows each distributed generator (DG) to calculate its output voltage reference autonomously based on the local measurement. Further, the proposed strategy operates in a completely decentralized manner, which can improve the system's reliability and is easy to implement. Compared with existing methods, the proposed strategy ensures that all DGs operate within their capacity constraints to prevent overload. Meanwhile, the load voltage can remain nearly constant. Thus, the desired high‐quality load voltage is achieved. In terms of the proposed method, the minimization of TGC operation is obtained, and the optimal economic dispatch control is achieved. The stability of the proposed controller for cascaded‐type DC microgrids is analyzed. Finally, simulations and experiments have been executed to showcase the efficacy of the proposed scheme.

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Publication Details

Journal
International Journal of Circuit Theory and Applications
Published
2025-02-18
DOI
https://doi.org/10.1002/cta.4482
Primary Topic
Microgrid Control and Optimization
Type
article
Field-Weighted Citation Impact
0.00

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article

A Decentralized Optimal Economic Dispatch Control of Cascaded‐Type DC Microgrids With Capacity and Load Voltage Constraints

Xiaochao Hou, Lang Li, Yuefeng Liao
International Journal of Circuit Theory and Applications
Microgrid Control and Optimization
article

A Decentralized Optimal Economic Dispatch Control of Cascaded‐Type DC Microgrids With Capacity and Load Voltage Constraints

Xiaochao Hou, Lang Li, Yuefeng Liao
article en

Abstract

ABSTRACT Maintaining a high‐quality power supply and cost‐effective operation is significant for microgrids. This paper investigates the optimization problem of minimizing the total generation costs (TGCs) of cascaded‐type DC microgrids, subject to capacity and load voltage. To solve this problem, a novel decentralized optimal economic dispatch control strategy is proposed; it has an economic impact on power dispatch in a communication‐free manner. That is, TGCs of cascaded‐type DC microgrids are minimized. The method allows each distributed generator (DG) to calculate its output voltage reference autonomously based on the local measurement. Further, the proposed strategy operates in a completely decentralized manner, which can improve the system's reliability and is easy to implement. Compared with existing methods, the proposed strategy ensures that all DGs operate within their capacity constraints to prevent overload. Meanwhile, the load voltage can remain nearly constant. Thus, the desired high‐quality load voltage is achieved. In terms of the proposed method, the minimization of TGC operation is obtained, and the optimal economic dispatch control is achieved. The stability of the proposed controller for cascaded‐type DC microgrids is analyzed. Finally, simulations and experiments have been executed to showcase the efficacy of the proposed scheme.

International Journal of Circuit Theory and ApplicationsVol. 53(11)
Central South University (CN), Zhengzhou University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Hunan Province
Openalex Percentile: Top 97%
Microgrid Control and Optimization
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A Decentralized Optimal Economic Dispatch Control of Cascaded‐Type DC Microgrids With Capacity and Load Voltage Constraints — Xiaochao Hou, Lang Li, et al. · International Journal of Circuit Theory and Applications (2025) | TGRS Research Map | TGRS