Conference Publications
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PublicationOptimized allocation of lightning protection system using PSOGSA(IEEE, 2023)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.
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PublicationMotivational game-theory P2P energy trading: a case study in Malaysia(IEEE, 2020)Peer-to-peer (P2P) energy trading allows surplus energy to be traded between distributed energy resources (DER) and prosumers in the community microgrid. In Malaysia, P2P energy trading is still under development, where it is expected to be exclusively participated by commercial and industrial prosumers. This paper proposes how a motivational psychology framework can be used effectively to design P2P energy trading to increase user participation for residential prosumer. All the data such as power consumption and solar energy value are adjusted and modelled in such a way to facilitate the calculation of P2P energy trading in Malaysia. An auction-based P2P market clearing model is then proposed and solved by using the Linear Programming optimization approach. The numerical results show the sustainability and the potential of the proposed P2P energy trading model to attract residential customers to participate in energy trading.
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PublicationNumerical analysis of comparison highly efficient active rectifier for energy harvesting application(IEEE, 2023-08)A piezoelectric energy harvesting (PEH) circuit with a passive rectifier lack in efficiency and performance. The performance and potential of piezoelectric energy-harvesting devices depend strongly on the power conditioning circuit as the circuits are essential for managing and controlling energy flows in these energy collecting devices. In order to overcome this situation, the parallel synchronized switch harvesting on inductor (P-SSHI) and the general model of synchronized multiple bias-flip (SMBF) which are the recent implementation of parallel synchronized triple bias-flip (P-S3BF) and parallel synchronized septuple bias-flip (P-S7BF) are used for further enhancing the PEH performance. In addition, active rectifiers presented distinguished benefits over passive rectifiers, such as the ability to analyze regulation, dynamic response to load changes, output voltage ripple, input current, total harmonic distortion (THD), power factor correction, and wave factor. Furthermore, by using an active rectifier the output voltage can be boosted higher. Thus, it is more efficient than a lower voltage since it experiences less energy loss from resistance. This research investigates the several high efficiency AC-DC active rectifiers as interface circuit plays a crucial role in the energy harvesting capability enhancement in PEH systems. The research methodology is carried out on a piezoelectric structure under the same base circuit with a different type of power conditioning circuit applied to the main circuit using the LTspice software. In conclusion, the input voltage for each different active rectifier circuit were set at 3-5 V and the frequency is set based on the input voltage of the circuit. Based on the results, the P-S7BF shows the higher efficiency with voltage output will have the most efficiency with the estimated voltage output reaching up to 13 V with a net harvesting power of up to 80-90% follow up by the P-S3BF and P-SSHI. There are several recommendations to improve active circuit by investigation the impact of load variation on the efficiency, such as different loads may require different rectification techniques and control strategies to achieve high efficiency.