Syahrun Nizam Md Arshad @ Hashim
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Syahrun Nizam Md Arshad @ Hashim
Official Name
Syahrun Nizam, Md Arshad @ Hashim
Alternative Name
Arshad, S. N.M.
Arshad, Syahrun Nizam Bin M.
Nizam Md Arshad, Syahrun
Md Arshad, Syahrun Nizam
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Scopus Author ID
56177750400

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  • Publication
    Impact of temperature and irradiance on pv array performance and withstand voltage
    (Iran University of Science and Technology, 2025-06)
    Wooi Chin Leong
    ;
    Syahrun Nizam Md Arshad @ Hashim
    ;
    Jia-Wen Tang
    ;
    Wen-Shan Tan
    ;
    Nur Hazirah Zaini
    ;
    Yuan-Kang Wu
    Photovoltaic (PV) energy is increasingly recognized as an environmentally friendly source of renewable energy. Integrating PV systems into power grids involves power electronic inverters, adding complexity and evolving traditional grids into smarter systems. Ensuring the reliability of decentralized PV generation is crucial, particularly as PV systems are often exposed to extreme weather conditions. This study investigates the impact of temperature and solar radiation on the performance of a PV array, focusing on key characteristics such as open-circuit voltage (VOC), short-circuit current (ISC), and maximum power (PMAX). Using PSCAD/EMTDC simulations, the study analyses these characteristics under varying temperatures (5°C to 45°C) and radiation levels (200 W/m² to 1200 W/m²). Results indicate that VOC increases with higher irradiance but decreases with higher temperatures. ISC increases with both higher radiation and temperature, while PMAX is optimized at high irradiance and low temperatures. The impulse withstand voltage (Vimp), a critical factor for PV system reliability, is assessed according to the PD CLC/TS 50539-12 standard. Findings reveal that at low temperatures and high radiation, the Vimp requirement is highest, emphasizing the need for robust voltage protection in PV systems. These insights underscore the importance of considering local climate conditions and implementing effective thermal management to enhance the performance and reliability of PV systems.
  • 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.
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