Economical-technical-environmental operation of power networks with wind-solar-hydropower generation using analytic hierarchy process and improved grey wolf algorithm

This paper presents an economical-technical-environmental dispatch (ETED) model for an adapted IEEE 30-bus system incorporated with thermal and a mix of renewable energy sources (RESs). Total fuel costs, active power losses, and emissions level minimization is the main aim. Different equality and in...

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Main Authors: Rawa, Muhyaddin, Abusorrah, Abdullah, Bassi, Hussain, Mekhilef, Saad, Ali, Ziad M., Aleem, Shady H. E. Abdel, Hasanien, Hany M., Omar, Ahmed I.
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Published: Elsevier 2021
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Online Access:http://eprints.um.edu.my/33894/
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spelling my.um.eprints.338942022-07-18T03:33:32Z http://eprints.um.edu.my/33894/ Economical-technical-environmental operation of power networks with wind-solar-hydropower generation using analytic hierarchy process and improved grey wolf algorithm Rawa, Muhyaddin Abusorrah, Abdullah Bassi, Hussain Mekhilef, Saad Ali, Ziad M. Aleem, Shady H. E. Abdel Hasanien, Hany M. Omar, Ahmed I. TA Engineering (General). Civil engineering (General) This paper presents an economical-technical-environmental dispatch (ETED) model for an adapted IEEE 30-bus system incorporated with thermal and a mix of renewable energy sources (RESs). Total fuel costs, active power losses, and emissions level minimization is the main aim. Different equality and inequality limits involving prohibited operating zones (POZs) are considered as system restrictions. Metaheuristic optimization techniques - moth-flame optimization, salp swarm algorithm, improved grey wolf optimizer, and multi-verse optimizer - are employed to find the best solution for the generation cost, losses, and emissions. Various scenarios are examined to approve the ability of the formulated optimization model in solving the problem. A weighted sum strategy using the analytic hierarchy process (AHP) is used to convert the multi-objective problem into a normalized single-objective one. The AHP-ETED model presented in this work can significantly minimize fuel costs to 902.4951 $/h, lower emission levels as 0.09785 t/h, and achieve a lower power loss of 2.4110 MW. The results attained validate that the IGWO outperforms the other considered algorithms in finding the best solution to the ETED problem. (c) 2021 THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Ain Shams University. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Elsevier 2021-09 Article PeerReviewed Rawa, Muhyaddin and Abusorrah, Abdullah and Bassi, Hussain and Mekhilef, Saad and Ali, Ziad M. and Aleem, Shady H. E. Abdel and Hasanien, Hany M. and Omar, Ahmed I. (2021) Economical-technical-environmental operation of power networks with wind-solar-hydropower generation using analytic hierarchy process and improved grey wolf algorithm. Ain Shams Engineering Journal, 12 (3). pp. 2717-2734. ISSN 2090-4479, DOI https://doi.org/10.1016/j.asej.2021.02.004 <https://doi.org/10.1016/j.asej.2021.02.004>. 10.1016/j.asej.2021.02.004
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic TA Engineering (General). Civil engineering (General)
spellingShingle TA Engineering (General). Civil engineering (General)
Rawa, Muhyaddin
Abusorrah, Abdullah
Bassi, Hussain
Mekhilef, Saad
Ali, Ziad M.
Aleem, Shady H. E. Abdel
Hasanien, Hany M.
Omar, Ahmed I.
Economical-technical-environmental operation of power networks with wind-solar-hydropower generation using analytic hierarchy process and improved grey wolf algorithm
description This paper presents an economical-technical-environmental dispatch (ETED) model for an adapted IEEE 30-bus system incorporated with thermal and a mix of renewable energy sources (RESs). Total fuel costs, active power losses, and emissions level minimization is the main aim. Different equality and inequality limits involving prohibited operating zones (POZs) are considered as system restrictions. Metaheuristic optimization techniques - moth-flame optimization, salp swarm algorithm, improved grey wolf optimizer, and multi-verse optimizer - are employed to find the best solution for the generation cost, losses, and emissions. Various scenarios are examined to approve the ability of the formulated optimization model in solving the problem. A weighted sum strategy using the analytic hierarchy process (AHP) is used to convert the multi-objective problem into a normalized single-objective one. The AHP-ETED model presented in this work can significantly minimize fuel costs to 902.4951 $/h, lower emission levels as 0.09785 t/h, and achieve a lower power loss of 2.4110 MW. The results attained validate that the IGWO outperforms the other considered algorithms in finding the best solution to the ETED problem. (c) 2021 THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Ain Shams University. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
format Article
author Rawa, Muhyaddin
Abusorrah, Abdullah
Bassi, Hussain
Mekhilef, Saad
Ali, Ziad M.
Aleem, Shady H. E. Abdel
Hasanien, Hany M.
Omar, Ahmed I.
author_facet Rawa, Muhyaddin
Abusorrah, Abdullah
Bassi, Hussain
Mekhilef, Saad
Ali, Ziad M.
Aleem, Shady H. E. Abdel
Hasanien, Hany M.
Omar, Ahmed I.
author_sort Rawa, Muhyaddin
title Economical-technical-environmental operation of power networks with wind-solar-hydropower generation using analytic hierarchy process and improved grey wolf algorithm
title_short Economical-technical-environmental operation of power networks with wind-solar-hydropower generation using analytic hierarchy process and improved grey wolf algorithm
title_full Economical-technical-environmental operation of power networks with wind-solar-hydropower generation using analytic hierarchy process and improved grey wolf algorithm
title_fullStr Economical-technical-environmental operation of power networks with wind-solar-hydropower generation using analytic hierarchy process and improved grey wolf algorithm
title_full_unstemmed Economical-technical-environmental operation of power networks with wind-solar-hydropower generation using analytic hierarchy process and improved grey wolf algorithm
title_sort economical-technical-environmental operation of power networks with wind-solar-hydropower generation using analytic hierarchy process and improved grey wolf algorithm
publisher Elsevier
publishDate 2021
url http://eprints.um.edu.my/33894/
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