Title :
Frequency Control of PV-Diesel Hybrid Power System Using Optimal Fuzzy Logic Controller
Author :
Sakeen, Bashar ; Bachache, Nasseer K. ; Shaorong Wang
Author_Institution :
Coll. of Electr. & Electron. Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China
Abstract :
In this paper, Optimal Fuzzy Logic Control based on particle swarm optimization is proposed to reduce frequency deviations in PV-Diesel hybrid system. The proposed method supposes that the controlled output power of PV can conditioning the quality of power system in isolated grid. The Fuzzy Logic Controller has two inputs of change of isolation power and frequency deviation. The complete system model with Fuzzy Logic Controller has simulated used MATLAB/SIMULINK linked with M-file/ MATLAB which has an optimization algorithm to optimize the shape of triangle memberships. The simulation results show the effectiveness of Optimal Fuzzy Logic Controller OFLC to reduce the frequency deviation compared with other controller without optimization.
Keywords :
diesel-electric generators; frequency control; fuzzy control; hybrid power systems; optimal control; particle swarm optimisation; photovoltaic power systems; power grids; power supply quality; power system control; M-file; MATLAB; OFLC; PV-diesel hybrid power system; SIMULINK; frequency control; frequency deviations; isolated grid; isolation power; optimal fuzzy logic control; optimization algorithm; output power; particle swarm optimization; power system quality; triangle memberships; Frequency control; Fuzzy logic; Hybrid power systems; Mathematical model; Optimization; Particle swarm optimization; Fuzzy Logic control FLC; Particle Swarm Optimization PSO; Photovoltaic PV;
Conference_Titel :
Dependable, Autonomic and Secure Computing (DASC), 2013 IEEE 11th International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4799-3380-8
DOI :
10.1109/DASC.2013.58
