Wooi Chin Leong
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Preferred name
Wooi Chin Leong
Official Name
Leong, Wooi Chin
Alternative Name
Wooi, Chin-Leong
Wooi, C. L.
Wooi, Chin-leong
Main Affiliation
Scopus Author ID
55912811600
Researcher ID
V-2268-2019

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  • Publication
    Optimization of Distribution System Reliability Using Dandelion Optimizer
    (IEEE, 2024-02)
    Tang Jia Wen
    ;
    Wooi Chin Leong
    ;
    Wen-Shan Tan
    ;
    Hadi Nabipour Afrouzi
    ;
    Syahrun Nizam Md Arshad @ Hashim
    ;
    Yee Von Thien
    This study proposes the Dandelion Optimizer (DO), a novel nature-inspired algorithm based on dandelion plant life cycles, for optimizing lightning protection system (LPS) placement in radial distribution networks with 81 buses. The objective is to minimize System Average Interruption Frequency Index (SAIFI) and Momentary Average Interruption Frequency Index (MAIFI). The DO offers a user-friendly approach to determining optimal solutions and excels in pinpointing optimal LPS deployment locations within distribution systems, concurrently fastening the calculation of SAIFI and MAIFI. Validation involves comprehensive numerical simulations, considering lightning flashover rate, distribution feeder attributes, and LPS configuration. Comparative analysis with Grey Wolf Optimizer (GWO) and Dragonfly Algorithm (DA) affirms DO's superior performance. Notably, DO showcases better capability in finding local optima and faster convergence than GWO and DA. Applying DO to optimise the optimal placements of LPSs yields a commendable 6.16% reduction in reliability indices, surpassing GWO and DA's 6.14% and 5.14% reductions. DO also exhibits heightened convergence speed over GWO and DA.
      3  1
  • Publication
    Optimized allocation of lightning protection system using PSOGSA
    (IEEE, 2023)
    Jia Wen Tang
    ;
    Wooi Chin Leong
    ;
    Wen-Shan Tan
    ;
    Hadi Nabipour Afrouzi
    ;
    Syahrun Nizam bin Md Arshad Hashim
    ;
    Muzaidi Othman @ Marzuki
    In this paper, the hybrid PSOGSA, which is a combined algorithm of Particle Swarm Optimization (PSO) and Gravitational Search Algorithm (GSA), is proposed to find the optimum locations for the lightning protection system on the 81- bus radial distribution system. Moreover, the System Average Interruption Frequency Index (SAIFI) is considered as the objective function and will be minimized. The main advantage of this work is the simplicity and convenience of finding an optimal solution using the proposed PSOGSA algorithm. Additionally, PSOGSA is also capable of finding the optimal locations for applying a lightning protection system (LPS) in a distribution network, while minimizing SAIFI and maintaining computational efficiency. To validate the effectiveness of the proposed algorithm, numerical simulations are carried out considering the interdependency between lightning phenomena and the distribution feeder characteristics, namely, the flashover rates due to direct and induced lightning. In addition, a comparison between PSO, GSA, and PSOGSA is made to compare and validate the performance of the algorithms. The results show that the latter is better at escaping from local optima and has a faster convergence than the standard PSO and GSA. PSOGSA also managed to achieve a higher reduction of 12.10% SAIFI after applying LPS on the optimal feeders, as compared to the 10.79% and 11.77% reduction of SAIFI by GSA and PSO, respectively. PSOGSA also has a faster convergence speed than PSO.