Cooperative Multi-Objective Optimization of DC Multi-Microgrid Systems in Distribution Networks

By constructing a DC multi-microgrid system (MMGS) including renewable energy sources (RESs) and electric vehicles (EVs) to coordinate with the distribution network, the utilization rate of RESs can be effectively improved and carbon emissions can be reduced. To improve the economy of MMGS and reduc...

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Main Authors: Zhiwen Xu, Changsong Chen, Mingyang Dong, Jingyue Zhang, Dongtong Han, Haowen Chen
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/11/19/8916
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author Zhiwen Xu
Changsong Chen
Mingyang Dong
Jingyue Zhang
Dongtong Han
Haowen Chen
author_facet Zhiwen Xu
Changsong Chen
Mingyang Dong
Jingyue Zhang
Dongtong Han
Haowen Chen
author_sort Zhiwen Xu
collection DOAJ
description By constructing a DC multi-microgrid system (MMGS) including renewable energy sources (RESs) and electric vehicles (EVs) to coordinate with the distribution network, the utilization rate of RESs can be effectively improved and carbon emissions can be reduced. To improve the economy of MMGS and reduce the network loss of the distribution network, a cooperative double-loop optimization strategy is proposed. The inner-loop economic dispatching reduces the daily operating cost of MMGS by optimizing the active power output of RESs, EVs, and DC/AC converters in MMGS. The outer-loop reactive power optimization reduces the network loss of the distribution network by optimizing the reactive power of the bidirectional DC/AC converters. The double-loop, which synergistically optimizes the economic cost and carbon emissions of MMGS, not only improves the economy of MMGS and operational effectiveness of the distribution network but also realizes the low-carbon emissions. The Across-time-and-space energy transmission (ATSET) of the EVs is considered, whose impact on economic dispatching is analyzed. Particle Swarm Optimization (PSO) is applied to iterative solutions. Finally, the rationality and feasibility of the cooperative multi-objective optimization model are proved by a revised IEEE 33-node system.
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spelling doaj.art-c08b242b28f24a4bae1c2b2ccc5ba0dc2023-11-22T15:44:56ZengMDPI AGApplied Sciences2076-34172021-09-011119891610.3390/app11198916Cooperative Multi-Objective Optimization of DC Multi-Microgrid Systems in Distribution NetworksZhiwen Xu0Changsong Chen1Mingyang Dong2Jingyue Zhang3Dongtong Han4Haowen Chen5State Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, ChinaState Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, ChinaState Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, ChinaState Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, ChinaState Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, ChinaState Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, ChinaBy constructing a DC multi-microgrid system (MMGS) including renewable energy sources (RESs) and electric vehicles (EVs) to coordinate with the distribution network, the utilization rate of RESs can be effectively improved and carbon emissions can be reduced. To improve the economy of MMGS and reduce the network loss of the distribution network, a cooperative double-loop optimization strategy is proposed. The inner-loop economic dispatching reduces the daily operating cost of MMGS by optimizing the active power output of RESs, EVs, and DC/AC converters in MMGS. The outer-loop reactive power optimization reduces the network loss of the distribution network by optimizing the reactive power of the bidirectional DC/AC converters. The double-loop, which synergistically optimizes the economic cost and carbon emissions of MMGS, not only improves the economy of MMGS and operational effectiveness of the distribution network but also realizes the low-carbon emissions. The Across-time-and-space energy transmission (ATSET) of the EVs is considered, whose impact on economic dispatching is analyzed. Particle Swarm Optimization (PSO) is applied to iterative solutions. Finally, the rationality and feasibility of the cooperative multi-objective optimization model are proved by a revised IEEE 33-node system.https://www.mdpi.com/2076-3417/11/19/8916DC multi-microgrid systemcarbon emissionseconomic dispatchacross-time-and-space energy transmissioncooperative multi-objective optimization
spellingShingle Zhiwen Xu
Changsong Chen
Mingyang Dong
Jingyue Zhang
Dongtong Han
Haowen Chen
Cooperative Multi-Objective Optimization of DC Multi-Microgrid Systems in Distribution Networks
Applied Sciences
DC multi-microgrid system
carbon emissions
economic dispatch
across-time-and-space energy transmission
cooperative multi-objective optimization
title Cooperative Multi-Objective Optimization of DC Multi-Microgrid Systems in Distribution Networks
title_full Cooperative Multi-Objective Optimization of DC Multi-Microgrid Systems in Distribution Networks
title_fullStr Cooperative Multi-Objective Optimization of DC Multi-Microgrid Systems in Distribution Networks
title_full_unstemmed Cooperative Multi-Objective Optimization of DC Multi-Microgrid Systems in Distribution Networks
title_short Cooperative Multi-Objective Optimization of DC Multi-Microgrid Systems in Distribution Networks
title_sort cooperative multi objective optimization of dc multi microgrid systems in distribution networks
topic DC multi-microgrid system
carbon emissions
economic dispatch
across-time-and-space energy transmission
cooperative multi-objective optimization
url https://www.mdpi.com/2076-3417/11/19/8916
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AT mingyangdong cooperativemultiobjectiveoptimizationofdcmultimicrogridsystemsindistributionnetworks
AT jingyuezhang cooperativemultiobjectiveoptimizationofdcmultimicrogridsystemsindistributionnetworks
AT dongtonghan cooperativemultiobjectiveoptimizationofdcmultimicrogridsystemsindistributionnetworks
AT haowenchen cooperativemultiobjectiveoptimizationofdcmultimicrogridsystemsindistributionnetworks