Alam, Mohammad Khurshed and Mohd Herwan, Sulaiman and Sayem, Md. Shaoran and Ringku, Md Mahfuzer Akter and Imtiaz, Shahriar and Khan, Rahat (2023) Success history moth flow optimization for multi-goal generation dispatching with nonlinear cost functions. In: 3rd International Conference on Robotics, Electrical and Signal Processing Techniques, ICREST 2023 , 7 - 8 January 2023 , Dhaka, Bangladesh. 228 -233., 2023-Jan. ISBN 979-835034643-5
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Abstract
Combined Economic Emission Dispatch (CEED) is resolved by combining Success History Moth Flow Optimization (SHMFO) and valve-point loading of thermal generators. This SHMFO the valve-point loading problem is a multi-objective nonlinear optimization problem including generator capacity limits and power balance. The valve-point loading causes oscillations in the input-output characteristics of generating units, hence rendering the CEED problem an imperfect optimization problem. As a benchmark test system for validating the efficacy of SHMFO, IEEE 30-bus systems are studied. Comparing the SHMFO method to other optimization strategies revealed its superiority and proved its capacity to resolve the CEED issue. The OPF is framed as a single or multiobjective problem with restrictions on generator capability, line capacity, bus voltage, and power flow balance to minimize fuel cost, emission, transmission loss, voltage deviation, etc. The numerical findings indicate that the SHMFO algorithm can provide cost-efficiency, diversity, and convergence in a single run. SHMFO performs better than the other algorithms and is an excellent choice for addressing the OPF problem, as shown by the results. On non-dominated solutions, a method adapted from the Technique for Ordering Preferences by Similarity to Ideal Solution (TOPSIS) is used to establish the Best Compromise Solution (BCS).
Item Type: | Conference or Workshop Item (Lecture) |
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Additional Information: | Indexed by Scopus |
Uncontrolled Keywords: | Combined Economic Emission Dispatch (CEED); Success History Moth Flow Optimization (SHMFO); Grew Wolf Optimization; Valve-point loading. |
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 07:23 |
Last Modified: | 27 Oct 2023 07:23 |
URI: | http://umpir.ump.edu.my/id/eprint/37212 |
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