A Hybrid Jaya–Powell’s Pattern Search Algorithm for Multi-Objective Optimal Power Flow Incorporating Distributed Generation
A new hybrid meta-heuristic approach Jaya–PPS, which is the combination of the Jaya algorithm and Powell’s Pattern Search method, is proposed in this paper to solve the optimal power flow (OPF) problem for minimization of fuel cost, emission and real power losses and total voltage deviation simultan...
Main Authors: | , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-05-01
|
Series: | Energies |
Subjects: | |
Online Access: | https://www.mdpi.com/1996-1073/14/10/2831 |
_version_ | 1827692513776893952 |
---|---|
author | Saket Gupta Narendra Kumar Laxmi Srivastava Hasmat Malik Alberto Pliego Marugán Fausto Pedro García Márquez |
author_facet | Saket Gupta Narendra Kumar Laxmi Srivastava Hasmat Malik Alberto Pliego Marugán Fausto Pedro García Márquez |
author_sort | Saket Gupta |
collection | DOAJ |
description | A new hybrid meta-heuristic approach Jaya–PPS, which is the combination of the Jaya algorithm and Powell’s Pattern Search method, is proposed in this paper to solve the optimal power flow (OPF) problem for minimization of fuel cost, emission and real power losses and total voltage deviation simultaneously. The recently developed Jaya algorithm has been applied for the exploration of search space, while the excellent local search capability of the PPS (Powell’s Pattern Search) method has been used for exploitation purposes. Integration of the local search procedure into the classical Jaya algorithm was carried out in three different ways, which resulted in three versions, namely, J-PPS1, J-PPS2 and J-PPS3. These three versions of the proposed hybrid Jaya–PPS approach were developed and implemented to solve the OPF problem in the standard IEEE 30-bus and IEEE 57-bus systems integrated with distributed generating units optimizing four objective functions simultaneously and IEEE 118-bus system for fuel cost minimization. The obtained results of the three versions are compared to the Dragonfly Algorithm, Grey Wolf Optimization Algorithm, Jaya Algorithm and already published results using other methods. A comparison of the results clearly demonstrates the superiority of the proposed J–PPS3 algorithm over different algorithms/versions and the reported methods. |
first_indexed | 2024-03-10T11:24:15Z |
format | Article |
id | doaj.art-bb559432d29d41a984ebc32609ffc88e |
institution | Directory Open Access Journal |
issn | 1996-1073 |
language | English |
last_indexed | 2024-03-10T11:24:15Z |
publishDate | 2021-05-01 |
publisher | MDPI AG |
record_format | Article |
series | Energies |
spelling | doaj.art-bb559432d29d41a984ebc32609ffc88e2023-11-21T19:47:16ZengMDPI AGEnergies1996-10732021-05-011410283110.3390/en14102831A Hybrid Jaya–Powell’s Pattern Search Algorithm for Multi-Objective Optimal Power Flow Incorporating Distributed GenerationSaket Gupta0Narendra Kumar1Laxmi Srivastava2Hasmat Malik3Alberto Pliego Marugán4Fausto Pedro García Márquez5Electrical Engineering Department, Delhi Technological University, Delhi 110042, IndiaElectrical Engineering Department, Delhi Technological University, Delhi 110042, IndiaElectrical Engineering Department, Madhav Institute of Technology & Science, Gwalior 474005, IndiaBEARS, CREATE Tower, NUS Campus, Singapore 138602, SingaporeDepartment of Quantitative Methods, CUNEF University, 28040 Madrid, SpainIngenium Research Group, Universidad Castilla-La Mancha, 13071 Ciudad Real, SpainA new hybrid meta-heuristic approach Jaya–PPS, which is the combination of the Jaya algorithm and Powell’s Pattern Search method, is proposed in this paper to solve the optimal power flow (OPF) problem for minimization of fuel cost, emission and real power losses and total voltage deviation simultaneously. The recently developed Jaya algorithm has been applied for the exploration of search space, while the excellent local search capability of the PPS (Powell’s Pattern Search) method has been used for exploitation purposes. Integration of the local search procedure into the classical Jaya algorithm was carried out in three different ways, which resulted in three versions, namely, J-PPS1, J-PPS2 and J-PPS3. These three versions of the proposed hybrid Jaya–PPS approach were developed and implemented to solve the OPF problem in the standard IEEE 30-bus and IEEE 57-bus systems integrated with distributed generating units optimizing four objective functions simultaneously and IEEE 118-bus system for fuel cost minimization. The obtained results of the three versions are compared to the Dragonfly Algorithm, Grey Wolf Optimization Algorithm, Jaya Algorithm and already published results using other methods. A comparison of the results clearly demonstrates the superiority of the proposed J–PPS3 algorithm over different algorithms/versions and the reported methods.https://www.mdpi.com/1996-1073/14/10/2831distributed generationhybrid Jaya–PPS algorithmmeta-heuristicOPFPPS |
spellingShingle | Saket Gupta Narendra Kumar Laxmi Srivastava Hasmat Malik Alberto Pliego Marugán Fausto Pedro García Márquez A Hybrid Jaya–Powell’s Pattern Search Algorithm for Multi-Objective Optimal Power Flow Incorporating Distributed Generation Energies distributed generation hybrid Jaya–PPS algorithm meta-heuristic OPF PPS |
title | A Hybrid Jaya–Powell’s Pattern Search Algorithm for Multi-Objective Optimal Power Flow Incorporating Distributed Generation |
title_full | A Hybrid Jaya–Powell’s Pattern Search Algorithm for Multi-Objective Optimal Power Flow Incorporating Distributed Generation |
title_fullStr | A Hybrid Jaya–Powell’s Pattern Search Algorithm for Multi-Objective Optimal Power Flow Incorporating Distributed Generation |
title_full_unstemmed | A Hybrid Jaya–Powell’s Pattern Search Algorithm for Multi-Objective Optimal Power Flow Incorporating Distributed Generation |
title_short | A Hybrid Jaya–Powell’s Pattern Search Algorithm for Multi-Objective Optimal Power Flow Incorporating Distributed Generation |
title_sort | hybrid jaya powell s pattern search algorithm for multi objective optimal power flow incorporating distributed generation |
topic | distributed generation hybrid Jaya–PPS algorithm meta-heuristic OPF PPS |
url | https://www.mdpi.com/1996-1073/14/10/2831 |
work_keys_str_mv | AT saketgupta ahybridjayapowellspatternsearchalgorithmformultiobjectiveoptimalpowerflowincorporatingdistributedgeneration AT narendrakumar ahybridjayapowellspatternsearchalgorithmformultiobjectiveoptimalpowerflowincorporatingdistributedgeneration AT laxmisrivastava ahybridjayapowellspatternsearchalgorithmformultiobjectiveoptimalpowerflowincorporatingdistributedgeneration AT hasmatmalik ahybridjayapowellspatternsearchalgorithmformultiobjectiveoptimalpowerflowincorporatingdistributedgeneration AT albertopliegomarugan ahybridjayapowellspatternsearchalgorithmformultiobjectiveoptimalpowerflowincorporatingdistributedgeneration AT faustopedrogarciamarquez ahybridjayapowellspatternsearchalgorithmformultiobjectiveoptimalpowerflowincorporatingdistributedgeneration AT saketgupta hybridjayapowellspatternsearchalgorithmformultiobjectiveoptimalpowerflowincorporatingdistributedgeneration AT narendrakumar hybridjayapowellspatternsearchalgorithmformultiobjectiveoptimalpowerflowincorporatingdistributedgeneration AT laxmisrivastava hybridjayapowellspatternsearchalgorithmformultiobjectiveoptimalpowerflowincorporatingdistributedgeneration AT hasmatmalik hybridjayapowellspatternsearchalgorithmformultiobjectiveoptimalpowerflowincorporatingdistributedgeneration AT albertopliegomarugan hybridjayapowellspatternsearchalgorithmformultiobjectiveoptimalpowerflowincorporatingdistributedgeneration AT faustopedrogarciamarquez hybridjayapowellspatternsearchalgorithmformultiobjectiveoptimalpowerflowincorporatingdistributedgeneration |