MPPT Control Design of PV System Supplied SRM Using BAT Search Algorithm
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Published
Mar 1, 2015
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Abstract
Maximum Power Point Tracking (MPPT) is used in
Photovoltaic (PV) systems to maximize its output power,
irrespective of the atmospheric conditions and electrical load
characteristics. This paper suggests a new MPPT control design to
PV system supplied Switched Reluctance Motor (SRM) based on PI
controller. The developed PI controller is used to reach MPPT by
monitoring the voltage and current of the PV array and adjusting the
duty cycle of the DC/ DC converter. The design task of MPPT is
formulated as an optimization problem which is solved by BAT
search algorithm to seek for optimal parameters of PI controller.
Simulation results have shown the validity of the suggested
technique in delivering MPPT to SRM under atmospheric
conditions. Moreover, the performance of the developed BAT
algorithm is compared with Particle Swarm Optimization (PSO) for
different disturbances to confirm its robustness.
Photovoltaic (PV) systems to maximize its output power,
irrespective of the atmospheric conditions and electrical load
characteristics. This paper suggests a new MPPT control design to
PV system supplied Switched Reluctance Motor (SRM) based on PI
controller. The developed PI controller is used to reach MPPT by
monitoring the voltage and current of the PV array and adjusting the
duty cycle of the DC/ DC converter. The design task of MPPT is
formulated as an optimization problem which is solved by BAT
search algorithm to seek for optimal parameters of PI controller.
Simulation results have shown the validity of the suggested
technique in delivering MPPT to SRM under atmospheric
conditions. Moreover, the performance of the developed BAT
algorithm is compared with Particle Swarm Optimization (PSO) for
different disturbances to confirm its robustness.