A Hybrid Jaya–Powell’s Pattern Search Algorithm for Multi-Objective Optimal Power Flow Incorporating Distributed Generation

Saket Gupta, Narendra Kumar, Laxmi Srivastava, Hasmat Malik, Alberto Pliego Marugán and Fausto Pedro García Márquez
Additional contact information
Saket Gupta: Electrical Engineering Department, Delhi Technological University, Delhi 110042, India
Narendra Kumar: Electrical Engineering Department, Delhi Technological University, Delhi 110042, India
Laxmi Srivastava: Electrical Engineering Department, Madhav Institute of Technology & Science, Gwalior 474005, India
Hasmat Malik: BEARS, CREATE Tower, NUS Campus, Singapore 138602, Singapore
Alberto Pliego Marugán: Department of Quantitative Methods, CUNEF University, 28040 Madrid, Spain
Fausto Pedro García Márquez: Ingenium Research Group, Universidad Castilla-La Mancha, 13071 Ciudad Real, Spain

Energies, 2021, vol. 14, issue 10, 1-24

Abstract: 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.

Keywords: distributed generation; hybrid Jaya–PPS algorithm; meta-heuristic; OPF; PPS (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/1996-1073/14/10/2831/pdf (application/pdf)
https://www.mdpi.com/1996-1073/14/10/2831/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:14:y:2021:i:10:p:2831-:d:554858

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().