Title :
Biogeography based tuning of PID controllers for Load Frequency Control in microgrid
Author :
Kumar, R. Hari ; Ushakumari, S.
Author_Institution :
Dept. of Electr. Eng., Coll. of Eng. Thiruvananthapuram, Thiruvananthapuram, India
Abstract :
This paper presents a novel technique for tuning PID controllers for Load Frequency Control (LFC) in an autonomous hybrid microgrid using Biogeography Based Optimization (BBO). The hybrid system consists of Wind Turbine Generators (WTG), Solar Photo Voltaic generators (SPV), Diesel Engine Generators (DEG), Fuel Cells (FC), Battery Energy Storage System (BESS), Flywheel Energy Storage System (FESS) and Aqua Electrolyser (AE). In this work, BBO algorithm is employed to search for the optimal controller parameters and to achieve the best coordinated control of the hybrid system. Further, the dynamic performance analysis of the hybrid system is done by subjecting the system to various disturbance conditions such as sudden variation of wind power, solar irradiation and load. The simulation results obtained are compared with conventional method. The result shows that the PID controller tuned using BBO is superior in both the transient as well as steady state performances in comparison with conventional method.
Keywords :
diesel engines; distributed power generation; flywheels; frequency control; fuel cells; hybrid power systems; load regulation; optimal control; optimisation; photovoltaic power systems; three-term control; turbogenerators; wind turbines; BBO; BESS; DEG; FESS; LFC; PID controllers; SPV; WTG; aqua electrolyser; autonomous hybrid microgrid; battery energy storage system; biogeography based optimization; biogeography based tuning; diesel engine generators; flywheel energy storage system; fuel cells; load frequency control; optimal controller parameters; solar photovoltaic generators; wind turbine generators; Energy storage; Frequency control; Generators; Hybrid power systems; Microgrids; Transfer functions; Wind turbines; Biogeography based optimization; Load Frequency Control; Microgrid; PID;
Conference_Titel :
Circuit, Power and Computing Technologies (ICCPCT), 2014 International Conference on
Print_ISBN :
978-1-4799-2395-3
DOI :
10.1109/ICCPCT.2014.7054992