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Success history moth flow optimization for multi-goal generation dispatching with nonlinear cost functions

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 pow...

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Main Authors: Alam, Mohammad Khurshed, Mohd Herwan, Sulaiman, Sayem, Md. Shaoran, Ringku, Md Mahfuzer Akter, Imtiaz, Shahriar, Khan, Rahat
Format: Conference or Workshop Item
Language:English
English
English
Published: IEEE 2023
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/37212/1/0143_CR.docx
http://umpir.ump.edu.my/id/eprint/37212/3/Success%20history%20moth%20flow%20optimization%20for%20multi-goal%20generation%20dispatching%20%20.pdf
http://umpir.ump.edu.my/id/eprint/37212/4/Success%20history%20moth%20flow%20optimization%20for%20multi-goal%20generation%20dispatching_FULL.pdf
http://umpir.ump.edu.my/id/eprint/37212/
https://doi.org/10.1109/ICREST57604.2023.10070071
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spelling my.ump.umpir.372122023-10-27T07:23:15Z http://umpir.ump.edu.my/id/eprint/37212/ Success history moth flow optimization for multi-goal generation dispatching with nonlinear cost functions Alam, Mohammad Khurshed Mohd Herwan, Sulaiman Sayem, Md. Shaoran Ringku, Md Mahfuzer Akter Imtiaz, Shahriar Khan, Rahat TK Electrical engineering. Electronics Nuclear engineering 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). IEEE 2023 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/37212/1/0143_CR.docx pdf en http://umpir.ump.edu.my/id/eprint/37212/3/Success%20history%20moth%20flow%20optimization%20for%20multi-goal%20generation%20dispatching%20%20.pdf pdf en http://umpir.ump.edu.my/id/eprint/37212/4/Success%20history%20moth%20flow%20optimization%20for%20multi-goal%20generation%20dispatching_FULL.pdf 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 https://doi.org/10.1109/ICREST57604.2023.10070071
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
English
English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Alam, Mohammad Khurshed
Mohd Herwan, Sulaiman
Sayem, Md. Shaoran
Ringku, Md Mahfuzer Akter
Imtiaz, Shahriar
Khan, Rahat
Success history moth flow optimization for multi-goal generation dispatching with nonlinear cost functions
description 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).
format Conference or Workshop Item
author Alam, Mohammad Khurshed
Mohd Herwan, Sulaiman
Sayem, Md. Shaoran
Ringku, Md Mahfuzer Akter
Imtiaz, Shahriar
Khan, Rahat
author_facet Alam, Mohammad Khurshed
Mohd Herwan, Sulaiman
Sayem, Md. Shaoran
Ringku, Md Mahfuzer Akter
Imtiaz, Shahriar
Khan, Rahat
author_sort Alam, Mohammad Khurshed
title Success history moth flow optimization for multi-goal generation dispatching with nonlinear cost functions
title_short Success history moth flow optimization for multi-goal generation dispatching with nonlinear cost functions
title_full Success history moth flow optimization for multi-goal generation dispatching with nonlinear cost functions
title_fullStr Success history moth flow optimization for multi-goal generation dispatching with nonlinear cost functions
title_full_unstemmed Success history moth flow optimization for multi-goal generation dispatching with nonlinear cost functions
title_sort success history moth flow optimization for multi-goal generation dispatching with nonlinear cost functions
publisher IEEE
publishDate 2023
url http://umpir.ump.edu.my/id/eprint/37212/1/0143_CR.docx
http://umpir.ump.edu.my/id/eprint/37212/3/Success%20history%20moth%20flow%20optimization%20for%20multi-goal%20generation%20dispatching%20%20.pdf
http://umpir.ump.edu.my/id/eprint/37212/4/Success%20history%20moth%20flow%20optimization%20for%20multi-goal%20generation%20dispatching_FULL.pdf
http://umpir.ump.edu.my/id/eprint/37212/
https://doi.org/10.1109/ICREST57604.2023.10070071
_version_ 1822923380607680512
score 13.232389

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