Application of stud krill herd algorithm for solution of optimal power flow problems. (16th January 2017)

• Record Type: Journal Article
• Authors: Pulluri, Harish; Naresh, R.; Sharma, Veena
• Is Part Of: International transactions on electrical energy systems. Volume 27:Number 6(2017:Sep.)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2017-01-16
• Subjects: emission pollution -- evolutionary method -- optimal power flow -- stud krill herd algorithm -- stud selection and crossover operator; Electric power -- Periodicals; Electric power systems -- Periodicals; Electrical engineering -- Periodicals; 621.3
• DOI: 10.1002/etep.2316
• Languages: English
• ISSNs: 2050-7038

Abstract

Summary: This paper presents a creature‐inspired stud krill herd (SKH) algorithm consisting of stud selection and crossover operators, which are augmented in the krill herd algorithm to solve the optimal power flow (OPF) problems in a power system. Due to the nonlinear and nonconvex nature of the OPF problem, it is quite difficult to find optimal solution using conventional optimization algorithms. Here in SKH, a stud‐selection operator is introduced in the krill herd algorithm to further enhance the quality of the solution, and crossover operator is embedded to avoid premature convergence. To investigate the performance, the proposed SKH algorithm has been demonstrated on the OPF problems of IEEE 30‐bus, Algerian 59‐bus, and IEEE 118‐bus systems considering various objective functions such as total production cost, L‐index, power loss, and emission pollution to be minimized. The OPF results have been compared with those obtained with other methods, and it has been found that SKH algorithm is successful in providing better quality solutions in reasonable execution times.