Performance Analysis of CSA Optimized PIDF Controller for Containing Frequency Fluctuation of Micro-Grid

Integration of renewable power generation in the modern power system requires intelligent and flexible control to ensure the balance between the generation and load demand. This paper addresses a frequency control model of an isolated micro-grid with plug-in hybrid electric vehicle (EV) and heat pump (HP) supplied by diesel engine generator (DEG) and renewable solar thermal power generation (STPG). Due to the interconnection of intermittent energy source like STPG and load variation, the micro-grid frequency fluctuate with different adverse effect on the power system. The PID and PID with filter (PIDF) are employed with EV, DEG and HP to control their power generation to maintain the desired frequency level under different contingencies. The parameters of PID and PIDF controllers are controllably tuned by Cuckoo search algorithm (CSA) for containing frequency fluctuation and their performances are compared thereafter. Different disturbed conditions have been realized in the form of step perturbations and random variations on the load and generation side. Investigation of the responses shows that Cuckoo search algorithm (CSA) based PIDF controller gives better response compare to the Cuckoo search algorithm (CSA) based PID controller.