A hybrid cuckoo search and krill herd technique for solving problem of optimal power flow in power systems

In order to remedy the poor exploitation of the krill herd algorithm (KHA), a breed cuckoo search and KHA (CS-KHA) technique have been developed for the optimal power flow (OPF) problem. The proposed CS-KHA presents krill updating (KU) and krill abandoning (KA) operator derived from cuckoo search (C...

Full description

Saved in:
Bibliographic Details
Published inJournal of Electrical Systems Vol. 15; no. 3; pp. 375 - 391
Main Authors Khelifi, Aboubkr, Bentouati, Bachir, Chettih, Saliha, El-Sehiemy, Ragab A
Format Journal Article
LanguageEnglish
Published Paris Engineering and Scientific Research Groups 2019
Subjects
Adequacy
Heuristic methods
Krill
Nonlinear programming
Optimization
Power flow
Search algorithms
Viability
Online AccessGet full text

Cover

More Information
Summary:In order to remedy the poor exploitation of the krill herd algorithm (KHA), a breed cuckoo search and KHA (CS-KHA) technique have been developed for the optimal power flow (OPF) problem. The proposed CS-KHA presents krill updating (KU) and krill abandoning (KA) operator derived from cuckoo search (CS) amid the procedure when the krill updating in order to extraordinarily improve its adequacy and dependability managing OPF problem. OPF is formulated as a nonlinear optimization problem with conflicting objectives and subjected to both equality and inequality constraints. This paper looks at CSKHA for solving non-convex and non-smooth OPF problem. The viability of these enhancements is tested on standard two standard test systems called IEEE 57-bus and IEEE 118-bus with five case studies. Experimental results appear, in all cases, this proposed hybrid meta-heuristic CSKHA is more and effective than the original CS, KHA, as well as other methods in the literature.
ISSN:1112-5209