International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 69 - Number 14 |
Year of Publication: 2013 |
Authors: Neethu John, K. Ramesh |
10.5120/11907-5482 |
Neethu John, K. Ramesh . Enhancement of Load Frequency Control Concerning High Penetration of Wind Turbine using PSO-Fuzzy Technique. International Journal of Computer Applications. 69, 14 ( May 2013), 1-7. DOI=10.5120/11907-5482
Due to rapidly growing amount of wind turbines and new types of power generation and demand technologies, The infrastructure Load Frequency Control (LFC) in power system should improve. Maintenance of frequency of power system is done by Automatic Load Frequency Control (AGC). Since the complexity of power systems are increasing, now days LFC systems must be able to handle multi-objective regulation optimization problems and capable to maintain generation-load balance, during serious disturbances. Unlike other renewable energy sources wind power fluctuations impose additional power disturbances to the power system and cause frequency variations from the desired value. This paper addresses a PSO based fuzzy logic controller LFC schemes for the minimization of both frequency deviation and tie-line power changes, necessary for successful operation of interconnected power systems during of high-penetration wind power. The particle swarm optimization (PSO) technique is used to get optimal values of membership functions parameters. Demonstrate effectiveness of the proposed control scheme, a time domain simulation is performed on the standard bus test system using MATLAB/SIMULINK