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Author: search.filters.author.Khunkitti, SiroteHas files: No

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    Optimal locations and capacities of multiple BESSs in a RES-integrated distribution network: a real-world case study
    (2026-12-01)
    Khunkitti, Sirote
    ;
    Wichitkrailat, Krit
    ;
    Siritaratiwat, Apirat
    The global transition toward renewable energy sources (RESs) has introduced technical challenges in distribution networks, including voltage instability, increased power losses, and peak demand fluctuations. Battery Energy Storage Systems (BESSs) provide an effective solution through voltage regulation, loss minimization, and peak shaving. However, their effectiveness strongly depends on optimal location and capacity, and a single BESS may be insufficient for network with increasing RES penetration. This study proposes an optimization framework employing the crayfish optimization algorithm (COA) to determine the optimal locations and capacities of multiple BESSs within a distribution network integrated with RESs. The objective is to minimize the total system costs, including BESS investment and performance-related costs associated with voltage deviation, transmission loss, and peak power reductions. The proposed framework is applied to a real-world system, comprising 102 buses incorporating photovoltaic (PV) and biomass distributed generation. Three installation scenarios including one, two, and three BESS units are analyzed and compared against other optimization algorithms. The results confirm the optimal BESS locations and capacities found are technically feasible for real-world deployment. Moreover, COA consistently outperforms comparative methods, particularly in cost minimization and loss reduction. Notably, the two-BESS case yields the most balanced and cost-effective performance.
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    Fuzzy Analytical Hierarchy Process-Based Multi-Criteria Decision Framework for Risk-Informed Maintenance Prioritization of Distribution Transformers
    (2026-01-01)
    Rodkumnerd, Pannathon
    ;
    Pothinun, Thunpisit
    ;
    Phumpho, Suwilai
    ;
    Watson, Neville
    ;
    Siritaratiwat, Apirat
    Effective asset management is crucial for improving the reliability, resilience, and cost efficiency of distribution networks throughout the asset life cycle. Distribution transformers are among the most critical components, as their failures can cause extensive service interruptions and substantial economic impacts. Therefore, robust and transparent maintenance prioritization strategies are essential, particularly for utilities managing several transformers. Traditional time-based maintenance, while simple to implement, often results in inefficient resource allocation. Condition-based maintenance provides a more effective alternative; however, its performance depends strongly on the reliability of indicator selection and weighting. This study proposes a systematic weighting framework for distribution transformer maintenance prioritization using a multi-criteria decision-making (MCDM) approach. Each transformer is evaluated across two dimensions, including health condition and operational impact, based on indicators identified from the literature and expert judgment. To address uncertainty and judgmental inconsistency, particularly when the consistency ratio (CR) exceeds the conventional threshold of 0.10, the Fuzzy Analytic Hierarchy Process (FAHP) is employed. Seven condition parameters characterize transformer health, while impact is quantified using five indicators reflecting failure consequences. The proposed framework offers a transparent, repeatable, and defensible decision-support tool, enabling utilities to prioritize maintenance actions, optimize resource allocation, and mitigate operational risks in distribution networks.