An Intelligent Control Framework For Energy Storage Systems in Smart Grid Applications

Abstract:-Energy demands have been steadily increasing due to industrialization, leading to environmental problems such as global warming and air pollution. One way to address these issues is by incorporating renewable energy sources into grid connections. While passive methods like under/overvoltage and under/over-frequency work when there is an imbalance of power between loads and distributed generation (DG), they fail to detect power conditions when power is supplied and consumed in balance. This thesis proposes a new approach for optimizing power quality in renewable energy sources (RES) using fuzzy logic, inverter, and maximum power point tracking (MPPT) techniques. RES are becoming increasingly popular due to the need for clean and sustainable energy. However, the output power of RES is highly dependent on weather conditions, and this can lead to power quality problems. To address this issue, fuzzy logic is used to control the inverter and MPPT algorithm, which is responsible for extracting the maximum power from the RES. The fuzzy logic controller adjusts the inverter and MPPT parameters based on the input voltage and current, ensuring that the output power is always at the maximum point. The inverter then converts the DC power generated by the RES into AC power, which is suitable for use in the power grid. Simulation results show that the proposed approach improves power quality by reducing fluctuations in the output power, leading to a more stable and reliable power supply. Additionally, the proposed approach is easy to implement and can be applied to different types of RES. This proposed model increase system stability and optimized power quality and reduces the harmonic of the system.at elevated and ambient temperatures.

---