Effects on Load-Frequency Control of a Solar Power System with a Two-Area Interconnected Thermal Power Plant and its Control with a New BFA Algorithm

Abstract

A control operation is the most important part of stabilization between load and frequency in a power system. The demand power change and the generated power change can disrupt the load-frequency balance. For this reason, the system frequency value should be controlled by some methods. In this study, a load frequency control was performed in a twoarea power system. The renewable solar energy system and the interconnected power system were connected. In order to control the load-frequency balance, the classical PI, PID, Fuzzy Logic Controller (FLC) based PI and Bacterial Foraging Algorithm (BFA) based PI controller were separately designed and implemented to control the frequency value. All the trials were simulated and confirmed by the MATLAB/Simulink program. According to the results obtained from the control methods, the BFA-PI method provided better overshoots and BFA-PI had better settling times than the others.

A Comprehensive Survey on the Current Trends in Improvising the Renewable Energy Incorporated Global Power System Market

“…Owing to the advantages of Bacterial Foraging Algorithm (BFA), for a interconnected control area, a classical PI controller is designed using the same [122]. A robust and efficient Imperialist Competitive Algorithm cum Fuzzy controller handles the uncertainties thereby eliminating the steady state error satisfactorily [107].…”

The automatic generation controller based on whale optimization algorithm in PV-thermal power systems

“…Güç sistemlerinde sistem kararlılığını sağlamak amacıyla OÜK konusunda yapılan çalışmalar incelendiğinde, çeşitli evrimsel algoritmaların kullanıldığı görülmektedir. Klasik PI ve PID kontrolörlerin kazançlarının belirlenmesi amacıyla, bakteri arama algoritması (BAA) [3], genetik algoritma (GA) [4], karga arama algoritması (KAA) [5], ateşböceği algoritması (ABA) [4,6], denge algoritması (DA) [7], balina optimizasyonu (BA) [8], parçacık sürü optimizasyonu (PSO) [9,10], gri kurt optimizasyonu (GKO) [11], Jaya algoritması [12,13], yıldırım flaş algoritması (YFA) [14], emperyalist rekabet algoritması (EKA) [15], aşırı nüfus optimizasyonu (ANO) [16] gibi sezgisel yöntemler kullanılmıştır. Klasik kontrolörlerin yanı sıra alan kontrol hatasını (AKH) azaltmak amacıyla kesir dereceli (FO)PID [17,18], TIDN [5], I -TD [19], IPD -(1 + I) [20], bulanık mantık [21,22] gibi kontrolör çeşitleri kullanılmıştır.…”