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...

Full description

Bibliographic Details
Main Authors: Saket Gupta, Narendra Kumar, Laxmi Srivastava, Hasmat Malik, Alberto Pliego Marugán, Fausto Pedro García Márquez
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