• Shivani Jain
• Sunil Agrawal

This paper presents a control strategy for an independent DC micro-grid based on photovoltaic and wind power with a hybrid energy storage system. An energy management control algorithm was developed to improve the use of renewable sources. The proposed system helps in reducing DC bus voltage swing and current draw on the battery due to interruptions in solar and wind power. Photovoltaic and wind systems operating on the MPPT are connected to the DC load via boost converters. During low power mode, the control algorithm uses a drop control strategy to keep the bus voltage constant in the event of standby power. Battery controllers and super-capacitors designed using frequency domain analysis are also presented. The system is tested during sudden load changes, renewable energy and low-power modes, as well as load shedding, using the MATLAB Simulink platform. The effectiveness of the proposed strategy is validated by the results of the simulation

solar system, wind system, booster converter, Arduino, battery, switch, super capacitor bank, MATLAB etc.

"AI Based Control Strategy for A PV Wind Based Standalone AC Grid PWM Assisted DC Micro-grid with Hybrid Energy Storage System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 2, page no.a99-a113, February-2022, Available :http://www.jetir.org/papers/JETIR2202012.pdf

"AI Based Control Strategy for A PV Wind Based Standalone AC Grid PWM Assisted DC Micro-grid with Hybrid Energy Storage System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 2, page no. ppa99-a113, February-2022, Available at : http://www.jetir.org/papers/JETIR2202012.pdf