Please use this identifier to cite or link to this item: http://dspace.aiub.edu:8080/jspui/handle/123456789/2470
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dc.contributor.authorAlam, Mohammad Khurshed-
dc.contributor.authorSulaiman, Mohd Herwan,-
dc.contributor.authorSayem, Md. Shaoran-
dc.contributor.authorImtiaz, Shahriar-
dc.contributor.authorRingku, Md Mahfuzer Akter-
dc.contributor.authorKhan, Rahat-
dc.date.accessioned2024-09-29T06:01:01Z-
dc.date.available2024-09-29T06:01:01Z-
dc.date.issued2023-05-23-
dc.identifier.urihttp://dspace.aiub.edu:8080/jspui/handle/123456789/2470-
dc.descriptionNAen_US
dc.description.abstractThe 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.en_US
dc.description.sponsorshipNAen_US
dc.language.isoenen_US
dc.publisher2023 International Conference on Electrical, Computer and Communication Engineering (ECCE), Chittagong, Bangladesh, 2023en_US
dc.subjectSuperiority of Feasible Solutions-Moth Flame Optimization, Valve-point Effect, Optimal Power Flow, Energy Efficiency, and power system optimizationen_US
dc.titleEmission and Valve Point Loading Cost Using Superiority of Feasible Solutions-Moth Flame Optimizationen_US
dc.typeArticleen_US
Appears in Collections:Publications From Faculty of Engineering

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