Optimal participating of the distributed generation sources in the re-structured power systems with optimized fuzzy logic controller

Abstract

Due to increasing the demand of electrical energy and non-economic development of the centralized power plant, the electrical industry has been tended toward using the decentralized power plant and distributed generation sources (DGS). In this paper, a three-area re-structured power system with the participation of DGS, hydro power plant, thermal power plant, wind turbine with doubly fed induction generator (DFIG) and photovoltaic system have been studied. The DGS due to the low capacity production and lack of cost effectiveness will not be participating in the electricity marketing. Injection the energy to power system by the DGS and how to participate these resources in the automatic generation control (AGC) is controlled by a separate controller (not main controller). This controller is designed based on the optimal fuzzy logic controller (OFLC). Load of this system has been considered as a random variable that continuously and randomly has the fluctuation number of 0.3 around nominal amount. Fluctuations occurred because of considering the load as a random variable and participation of the wind-powered turbine with DFIG, photovoltaic system and DGS as a source of generation in power system. Since the wind turbine and photovoltaic system don’t produce power in the whole day, in this study capacitive energy storage (CES) units will be used parallel with this renewable energy source. To improve the response of power system, PID and OFLC will be utilized. Controller parameters can be optimized with three intelligent algorithms such as Imperialist Competitive Algorithm (ICA), Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) Algorithm and finally the results will be compared with each other.