Optimal sizing of battery storage for cost-effective peak shaving in regional distribution networks

Md Masud Rana; Huadong Mo; G.M. Shafiullah; Li Qiao; Daoyi Dong

doi:10.1016/j.est.2025.119502

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Optimal sizing of battery storage for cost-effective peak shaving in regional distribution networks

Journal article

Open access

Peer reviewed

Optimal sizing of battery storage for cost-effective peak shaving in regional distribution networks

Md Masud Rana, Huadong Mo, G.M. Shafiullah, Li Qiao and Daoyi Dong

Journal of energy storage, Vol.141(Part D), 119502

2026

DOI: https://doi.org/10.1016/j.est.2025.119502

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Abstract

Analytical approach

Battery energy storage system

Economic sizing

Peak shaving

Rule-based technique

Battery energy storage system (BESS) is a crucial technology for managing various uncertainties and key challenges particularly, peak shaving, inherent in regional distribution networks (RDNs). However, an improperly sized BESS can lead to unreasonable installation, operation, and maintenance costs. Considering that these costs may exceed the operational benefits of the battery, this work establishes an analytical approach for the optimal sizing of BESS aimed at cost-effective peak-shaving applications, especially in an Australian RDN. The procedure utilizes the RDN load profiles, characterized by a determined time resolution, while accounting for various billing rates and electricity costs. Utilizing real load and cost data, this approach systematically determines the optimal battery capacity from various BESS configurations, enhancing the overall efficiency and performance of the BESS. The proposed analytical method is evaluated using a rule-based technique, ensuring practical applicability and reliability. The results, tested on a real Australian RDN, demonstrate that the approach can significantly determine the most economically suitable BESS configuration, reduce system operational costs, and achieve effective peak shaving during high-demand periods. Additionally, to evaluate the feasibility of the technique, load profiles and associated cost factors also have been collected from a Malaysian RDN, tested in the case study.

Details

Title: Optimal sizing of battery storage for cost-effective peak shaving in regional distribution networks
Authors/Creators: Md Masud Rana - University of Canberra
Huadong Mo - University of Canberra
G.M. Shafiullah - Murdoch University, Centre for Water, Energy and Waste
Li Qiao - University of Canberra
Daoyi Dong - Australian National University
Publication Details: Journal of energy storage, Vol.141(Part D), 119502
Publisher: Elsevier Ltd.
Number of pages: 15
Identifiers: 991005830345407891
Murdoch Affiliation: School of Engineering and Energy; Centre for Water, Energy and Waste
Language: English
Resource Type: Journal article

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Collaboration types: Domestic collaboration
Citation topics: 4 Electrical Engineering, Electronics & Computer Science; 4.18 Power Systems & Electric Vehicles; 4.18.204 Smart Grid Optimization
Web Of Science research areas: Energy & Fuels
ESI research areas: Engineering