Emission and valve point loading cost using superiority of feasible solutions-moth flame optimization

• Main Authors: Alam, Mohammad Khurshed, Mohd Herwan, Sulaiman, Sayem, Md. Shaoran, Imtiaz, Shahriar, Ringku, Md Mahfuzer Akter, Khan, Rahat
• Format: Conference or Workshop Item
• Language: English; English
• Published: IEEE 2023
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://umpir.ump.edu.my/id/eprint/37207/1/Manuscript_PID152.pdf; http://umpir.ump.edu.my/id/eprint/37207/7/Emission%20and%20valve%20point%20loading%20cost%20using%20superiority%20of%20feasible%20solutions.pdf; http://umpir.ump.edu.my/id/eprint/37207/; https://doi.org/10.1109/ECCE57851.2023.10101593

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.