A Harris hawks optimization based single- and multi objective optimal power flow considering environmental emission
The electric sector is majorly concerned about the greenhouse and non-greenhouse gas emissions generated from both conventional and renewable energy sources, as this is becoming a major issue globally. Thus, the utilities must adhere to certain environmental guidelines for sustainable power generati...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Multidisciplinary Digital Publishing Institute
2020
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| Online Access: | http://psasir.upm.edu.my/id/eprint/87600/ http://psasir.upm.edu.my/id/eprint/87600/1/ABSTRACT.pdf |
| _version_ | 1848860466335449088 |
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| author | Islam, Mohammad Zohrul Abdul Wahab, Noor Izzri Veerasamy, Veerapandiyan Hizam, Hashim Mailah, Nashiren Farzilah Guerrero, Josep M. Mohd Nasir, Mohamad Nasrun |
| author_facet | Islam, Mohammad Zohrul Abdul Wahab, Noor Izzri Veerasamy, Veerapandiyan Hizam, Hashim Mailah, Nashiren Farzilah Guerrero, Josep M. Mohd Nasir, Mohamad Nasrun |
| author_sort | Islam, Mohammad Zohrul |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | The electric sector is majorly concerned about the greenhouse and non-greenhouse gas emissions generated from both conventional and renewable energy sources, as this is becoming a major issue globally. Thus, the utilities must adhere to certain environmental guidelines for sustainable power generation. Therefore, this paper presents a novel nature-inspired and population-based Harris Hawks Optimization (HHO) methodology for controlling the emissions from thermal generating sources by solving single and multi-objective Optimal Power Flow (OPF) problems. The OPF is a non-linear, non-convex, constrained optimization problem that primarily aims to minimize the fitness function by satisfying the equality and inequality constraints of the system. The cooperative behavior and dynamic chasing patterns of hawks to pounce on escaping prey is modeled mathematically to minimize the objective function. In this paper, fuel cost, real power loss and environment emissions are regarded as single and multi-objective functions for optimal adjustments of power system control variables. The different conflicting framed multi-objective functions have been solved using weighted sums using a no-preference method. The presented method is coded using MATLAB software and an IEEE (Institute of Electrical and Electronics Engineers) 30-bus. The system was used to demonstrate the effectiveness of selective objectives. The obtained results are compared with the other Artificial Intelligence (AI) techniques such as the Whale Optimization Algorithm (WOA), the Salp Swarm Algorithm (SSA), Moth Flame (MF) and Glow Warm Optimization (GWO). Additionally, the study on placement of Distributed Generation (DG) reveals that the system losses and emissions are reduced by an amount of 9.8355% and 26.2%, respectively. |
| first_indexed | 2025-11-15T12:45:41Z |
| format | Article |
| id | upm-87600 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T12:45:41Z |
| publishDate | 2020 |
| publisher | Multidisciplinary Digital Publishing Institute |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-876002022-07-06T07:57:39Z http://psasir.upm.edu.my/id/eprint/87600/ A Harris hawks optimization based single- and multi objective optimal power flow considering environmental emission Islam, Mohammad Zohrul Abdul Wahab, Noor Izzri Veerasamy, Veerapandiyan Hizam, Hashim Mailah, Nashiren Farzilah Guerrero, Josep M. Mohd Nasir, Mohamad Nasrun The electric sector is majorly concerned about the greenhouse and non-greenhouse gas emissions generated from both conventional and renewable energy sources, as this is becoming a major issue globally. Thus, the utilities must adhere to certain environmental guidelines for sustainable power generation. Therefore, this paper presents a novel nature-inspired and population-based Harris Hawks Optimization (HHO) methodology for controlling the emissions from thermal generating sources by solving single and multi-objective Optimal Power Flow (OPF) problems. The OPF is a non-linear, non-convex, constrained optimization problem that primarily aims to minimize the fitness function by satisfying the equality and inequality constraints of the system. The cooperative behavior and dynamic chasing patterns of hawks to pounce on escaping prey is modeled mathematically to minimize the objective function. In this paper, fuel cost, real power loss and environment emissions are regarded as single and multi-objective functions for optimal adjustments of power system control variables. The different conflicting framed multi-objective functions have been solved using weighted sums using a no-preference method. The presented method is coded using MATLAB software and an IEEE (Institute of Electrical and Electronics Engineers) 30-bus. The system was used to demonstrate the effectiveness of selective objectives. The obtained results are compared with the other Artificial Intelligence (AI) techniques such as the Whale Optimization Algorithm (WOA), the Salp Swarm Algorithm (SSA), Moth Flame (MF) and Glow Warm Optimization (GWO). Additionally, the study on placement of Distributed Generation (DG) reveals that the system losses and emissions are reduced by an amount of 9.8355% and 26.2%, respectively. Multidisciplinary Digital Publishing Institute 2020 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/87600/1/ABSTRACT.pdf Islam, Mohammad Zohrul and Abdul Wahab, Noor Izzri and Veerasamy, Veerapandiyan and Hizam, Hashim and Mailah, Nashiren Farzilah and Guerrero, Josep M. and Mohd Nasir, Mohamad Nasrun (2020) A Harris hawks optimization based single- and multi objective optimal power flow considering environmental emission. Sustainability, 12 (13). pp. 1-27. ISSN 2071-1050 https://www.mdpi.com/2071-1050/12/13/5248 10.3390/su12135248 |
| spellingShingle | Islam, Mohammad Zohrul Abdul Wahab, Noor Izzri Veerasamy, Veerapandiyan Hizam, Hashim Mailah, Nashiren Farzilah Guerrero, Josep M. Mohd Nasir, Mohamad Nasrun A Harris hawks optimization based single- and multi objective optimal power flow considering environmental emission |
| title | A Harris hawks optimization based single- and multi objective optimal power flow considering environmental emission |
| title_full | A Harris hawks optimization based single- and multi objective optimal power flow considering environmental emission |
| title_fullStr | A Harris hawks optimization based single- and multi objective optimal power flow considering environmental emission |
| title_full_unstemmed | A Harris hawks optimization based single- and multi objective optimal power flow considering environmental emission |
| title_short | A Harris hawks optimization based single- and multi objective optimal power flow considering environmental emission |
| title_sort | harris hawks optimization based single- and multi objective optimal power flow considering environmental emission |
| url | http://psasir.upm.edu.my/id/eprint/87600/ http://psasir.upm.edu.my/id/eprint/87600/ http://psasir.upm.edu.my/id/eprint/87600/ http://psasir.upm.edu.my/id/eprint/87600/1/ABSTRACT.pdf |