Operational Cost Minimization of Electrical Distribution Network during Switching for Sustainable Operation
Hamza Mubarak,
Munir Azam Muhammad,
Nurulafiqah Nadzirah Mansor,
Hazlie Mokhlis,
Shameem Ahmad,
Tofael Ahmed and
Muhammad Sufyan
Additional contact information
Hamza Mubarak: Department of Electrical Engineering, Faculty of Engineering, Universiti Malaya, Kuala Lumpur 50603, Malaysia
Munir Azam Muhammad: Department of Electrical Engineering, Main Campus, Iqra University, Karachi 75300, Pakistan
Nurulafiqah Nadzirah Mansor: Department of Electrical Engineering, Faculty of Engineering, Universiti Malaya, Kuala Lumpur 50603, Malaysia
Hazlie Mokhlis: Department of Electrical Engineering, Faculty of Engineering, Universiti Malaya, Kuala Lumpur 50603, Malaysia
Shameem Ahmad: Power Electronics and Renewable Energy Research Laboratory, Department of Electrical Engineering, Universiti Malaya, Kuala Lumpur 50603, Malaysia
Tofael Ahmed: Department of Electrical & Electronic Engineering, Chittagong University of Engineering & Technology, Chittagong 4349, Bangladesh
Muhammad Sufyan: Department of Electrical Engineering, Main Campus, Iqra University, Karachi 75300, Pakistan
Sustainability, 2022, vol. 14, issue 7, 1-23
Abstract:
Continuous increases in electrical energy demand and the deregulation of power systems have forced utility companies to provide high-quality and reliable services to maintain a sustainable operation and reduce electricity price. One way to continue providing the required services while simultaneously reducing operational costs is through minimizing power losses and voltage deviation in the distribution network. For this purpose, Network Reconfiguration (NR) is commonly adopted by employing the switching operation to enhance overall system performance. In the past, work proposed by researchers to attain switching sequence operation was based on hamming distance approach. This approach caused the search space to grow with the increase in total Hamming distance between the initial and the final configuration. Therefore, a method is proposed in this paper utilizing a Mixed Integer Second Order Cone Programming (MISOCP) to attain optimal NR to address this issue. The Hamming dataset approach is opted to reduce search space by considering only radial configuration solutions to achieve an optimal switching sequence. In addition, a detailed economic analysis has been performed to determine the saving after the implementation of the proposed switching sequence. The effectiveness of the proposed technique is validated through simulations on IEEE 33-bus distribution network and a practical 71-bus network in Malaysia. The result shows that the proposed method determined the optimal network configuration by minimizing the power losses for the 33 bus and 71-bus system by 34.14% and 25.5% from their initial configuration, respectively to maintain sustainable operation.
Keywords: cost saving; distribution system; MISOCP; network reconfiguration; switching sequence; sustainable operation (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
https://www.mdpi.com/2071-1050/14/7/4196/pdf (application/pdf)
https://www.mdpi.com/2071-1050/14/7/4196/ (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:14:y:2022:i:7:p:4196-:d:785049
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 ().