Battery Energy Storage System Control for Mitigating PV Penetration Impact on Primary Frequency Control and State-of-Charge Recovery
Abstract:
In this project a droop-type, lead-lag controlled Battery Energy Storage System (BESS) with a novel adaptive SOC recovery strategy is proposed to provide additional damping, enhance the inertial ability of the system with 18.18% PV penetration. The adaptive SOC recovery aims to maintain flexible battery SOC value according to load/PV generation forecast and comply with future events such as peak PV generation or lower PV output during the passing cloud periods. The proposed adaptive SOC strategy regulates SOC based on the value of charging current and moreover, adaptive SOC recovery does not affect the maximum SOC limit for the regular network event. Simulation results demonstrate BESS efficacy in mitigating the adverse inertial impact of PV and accomplishing mandatory grid requirements. Moreover, the proposed adaptive SOC recovery shows the flexibility of BESS for SOC management planning in accordance with future events forecast.
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Software Configuration:
Operating System : Windows 7/8/10
Application Software : Matlab/Simulink
Hardware Configuration:
RAM : 8 GB / 4 GB (Min)
Processor : I3 / I5(Mostly prefer)