Affiliations: Mazandaran University of Science and Technology, Babol, Iran | Babol Noshirvani University of Technology, Babol, Iran | Khaje Nasir Toosi University of Technology, Tehran, Iran
Note: [] Corresponding author. Seyed Hossein Rouhani, Mazandaran University of Science and Technology, Babol, Iran. E-mail: rouhani_h@yahoo.com
Abstract: In power system any unpredictable variations of consumption load will cause fluctuation in frequency and the transferred power between the lines. Load frequency control is one of the main problems in the power system which synchronizes with automatic generation control. Checking the different factors that cause unbalance in power system is necessary and one of the important factors of them is the load that randomly varies. In this paper, a three area power system in deregulated environments with participation of synchronized generation of wind with Doubly Fed Induction Generator (DFIG), hydro and thermal power plants are studied. The load in this power system is considered as a random variable which periodically and randomly has frequency of 0.25 around nominal amount. Fluctuations are caused due to considering load as a random variable and using wind-powered turbine with DFIG in power system. To improve the response of power system, the optimal fuzzy logic, PID controller and FACTS devices will be used. Imperialist Competitive Algorithm (ICA) has been used for optimizing the parameters of a fuzzy logic controller. PID Controller parameters have been optimized with three intelligent algorithms, ICA, Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) Algorithm and the results will be compared with each other. With comparison the result it is observed that in the case of using optimal fuzzy logic controller (OFLC) we have the fastest response with the minimum over shoot and under shoot, also in this case the transferred power between the areas is settled in the lowest value. The results show a significant reduction in losses in transmission lines.
Keywords: Deregulated environments, random variable load (RVL), wind-powered turbine with DFIG, load frequency control (LFC), optimal fuzzy logic controller (OFLC), intelligent algorithm
