Network Reconfiguration Framework for CO 2 Emission Reduction and Line Loss Minimization in Distribution Networks Using Swarm Optimization Algorithms

Wei-Chen Lin, Chao-Hsien Hsiao, Wei-Tzer Huang (), Kai-Chao Yao, Yih- Der Lee, Jheng-Lun Jian and Yuan Hsieh
Additional contact information
Wei-Chen Lin: Department of Industrial Education and Technology, National Changhua University of Education, Bao-Shan Campus, No. 2, Shi-Da Road, Changhua 500, Taiwan
Chao-Hsien Hsiao: Department of Industrial Education and Technology, National Changhua University of Education, Bao-Shan Campus, No. 2, Shi-Da Road, Changhua 500, Taiwan
Wei-Tzer Huang: Department of Industrial Education and Technology, National Changhua University of Education, Bao-Shan Campus, No. 2, Shi-Da Road, Changhua 500, Taiwan
Kai-Chao Yao: Department of Industrial Education and Technology, National Changhua University of Education, Bao-Shan Campus, No. 2, Shi-Da Road, Changhua 500, Taiwan
Yih- Der Lee: National Atomic Research Institute, Taoyuan 325, Taiwan
Jheng-Lun Jian: National Atomic Research Institute, Taoyuan 325, Taiwan
Yuan Hsieh: Department of Industrial Education and Technology, National Changhua University of Education, Bao-Shan Campus, No. 2, Shi-Da Road, Changhua 500, Taiwan

Sustainability, 2024, vol. 16, issue 4, 1-17

Abstract: This paper presents the development of a generic active distribution network (ADN) operation simulation framework that incorporates selected swarm optimization algorithms (SOAs) for the purpose of reducing CO 2 emissions and line loss minimization through network reconfiguration (NR). The framework has been implemented in the ADN of Taipower. Network data, provided by the Distribution Mapping Management System and Distribution Dispatch Control Center (DDCC) of Taipower, were converted into an OpenDSS script to create ADN models. The SOA is integrated into the framework and utilized to determine the statuses of both four-way and two-way switches in the planning and operating stages, in accordance with the proposed multi-objective function and operational constraints. The weightings for these decisions can be customized by distribution operators to meet their specific requirements. In this paper, the weighting for line loss reduction is set to one for minimizing CO 2 emissions. The numerical results demonstrate that the proposed ADN framework can recommend a feeder switching scheme to distribution operators, aiming to balance feeder loading and minimize the neutral line current. Finally, this approach leads to reduced line losses and minimizes CO 2 emissions. In contrast to relying solely on historical operational experience, this generic ADN reconfiguration framework offers a systematic approach that can significantly contribute to reducing CO 2 emissions and enhancing the operational efficiency of ADNs.

Keywords: CO 2 emissions; line loss; active distribution network; network reconfiguration; swarm optimization algorithms; OpenDSS (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2071-1050/16/4/1493/pdf (application/pdf)
https://www.mdpi.com/2071-1050/16/4/1493/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:16:y:2024:i:4:p:1493-:d:1336692

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().