Comparison of Honey Bee Mating Optimization and Genetic Algorithm for Coordinated Design of Pss and Statcom Based on Damping of Power System Oscillation

Abstract

Recently, honey bee mating optimization (HBMO) technique and genetic algorithms (GA) have attracted considerable attention among various modern heuristic optimization techniques. This paper presents the application and performance comparison of HBMO and GA optimization techniques, for coordinated design of STATCOM and PSS. The design objective is to enhance damping of the low frequency oscillations. The design problem of the controller is formulated as an optimization problem and both HBMO and GA optimization techniques are employed to search for optimal controller parameters. The performance of both optimization techniques for damping low frequency oscillations are tested and demonstrated through nonlinear time-domain simulation and some performance indices studies to different disturbances over a wide range of loading conditions. The results show that the designed controller by HBMO performs better than GA in finding the solution. Moreover, the system performance analysis under different operating conditions show that the ϕ based controller is superior to the C based controller.

Comparison of different heuristic algorithms for location and value determination of STATCOM providing minimum losses in power systems

“…Bu çalışmalarda, güç sisteminin güç taşıma kapasitesinin ve güvenliğinin önerilen yöntemler ile arttırılabileceği gösterilmiştir. [12], [13] …”

“…Bu çalışmalarda, güç sisteminin güç taşıma kapasitesinin ve güvenliğinin önerilen yöntemler ile arttırılabileceği gösterilmiştir. [12], [13]'te iki farklı sezgisel algoritmanın güç sistemi güvenilirliğini arttırmak kullanımı ve karşılaştırması verilmiştir. [14]- [17]…”