Alam, Mohammad Khurshed and Mohd Herwan, Sulaiman and Sayem, Md. Shaoran and Imtiaz, Shahriar and Ringku, Md Mahfuzer Akter and Khan, Rahat (2023) Emission and valve point loading cost using superiority of feasible solutions-moth flame optimization. In: 3rd International Conference on Electrical, Computer and Communication Engineering, ECCE 2023 , 23-25 February 2023 , Chittagong, Bangladesh. pp. 1-6.. ISSN 979-8-3503-4536-0
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Abstract
The optimal power flow (OPF) the most crucial instrument for power facility design and performance is analysis, load scheduling, and cost-effective dispatch. To determine the evidence of a steady state for a power system network, an optimal power flow analysis is required. This study introduces a novel optimization method called Superiority of Feasible Solutions-Moth Flame Optimization (SH-MFO) to answer the optimal power flow problem. As part of the MATLAB development, SH-MFO is implemented on the IEEE-30 bus standard experiment structure network. When compared to the reliable outcomes produced by other algorithms, the current study employing SH-MFO estimates a Generation and Emission Costs 48.6827 /h for minimizing the different fuels, which ultimately proves to be the best value. Analyze the poorest options suggested by the comparison algorithm, it saves money by 0.9873 % per hour. Based on simulation results, the SH-MFO method provides an improved and effective optimization algorithm for optimal power flow problems.
Item Type: | Conference or Workshop Item (Lecture) |
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Additional Information: | Indexed by Scopus |
Uncontrolled Keywords: | Superiority of Feasible Solutions-Moth Flame Optimization; Valve-point Effect, Optimal Power Flow,; Energy Efficiency; power system optimization |
Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
Faculty/Division: | Institute of Postgraduate Studies Faculty of Electrical and Electronic Engineering Technology |
Depositing User: | Miss. Ratna Wilis Haryati Mustapa |
Date Deposited: | 27 Oct 2023 07:35 |
Last Modified: | 27 Oct 2023 07:35 |
URI: | http://umpir.ump.edu.my/id/eprint/37207 |
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