Performance Analysis of Flower Pollination Algorithm Optimized PID Controller for Wind-PV-SMES-BESS-Diesel Autonomous Hybrid Power System

ISRAFIL HUSSAIN, Sudhanshu Ranjan, Dulal Chandra Das, Nidul Sinha


Integration of the wind and solar power in an autonomous hybrid power system poses significant impacts on the system frequency affecting relay operation, consequence load disconnections, generation outage etc. leading to system collapse. An appropriate control strategy needs to be developed to maintain the system frequency within the permissible limit thus maintaining the stability of the power system. This paper presents a coordinated control strategy among the generating units in an autonomous hybrid power system comprising of wind turbine generator (WTG), the photovoltaic system (PV), diesel engine generator (DEG), battery energy storage system (BESS) and superconducting magnetic energy storage (SMES). Proportional-Integral (PI) and Proportional-Integral-Derivative (PID) are employed with DEG, BESS, and SMES so as to adjust the output power in response to the change in loading and or output power variation of renewable sources. The parameters of the controllers are optimized using Flower Pollination Algorithm (FPA). The system dynamic responses obtained the PI and PID controllers are compared. Simulation results revealed that FPA optimized PID controller outperform PI controller. Further, to check the robustness of the controllers, sensitivity analysis has been carried out.

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Superconducting magnetic energy storage; Flower Pollination Algorithm; autonomous hybrid power system; photovoltaic system (PV); wind turbine generators; Frequency deviation

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