Research Output
Design and performance analysis of fuzzy logic controller for solar photovoltaic system
Energy management system controller integrated with solar photovoltaic for smart energy utilization
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Publication
This study presents a Fuzzy Logic Controller (FLC)-based Maximum Power Point Tracking (MPPT) system for solar Photovoltaic (PV) setups, integrating PV panels, a boost converter, and battery storage. While FLC is known for its robustness in PV systems, challenges in battery charging and discharging efficiency can affect performance. The research addresses these challenges by optimizing battery charging, preventing overcharging, and enhancing overall system efficiency. The FLC MPPT system is designed to regulate the battery's State of Charge (SOC) while evaluating system performance under varying solar irradiance and temperature conditions. The system is modeled and simulated using MATLAB/Simulink, incorporating the PV system, MPPT algorithm, and models for the PV module and boost converter. System efficiency is assessed under different scenarios, with results showing 97.92% efficiency under Standard Test Conditions (STC) at 1000 W/m² and 25°C. Additionally, mean efficiencies of 97.13% and 96.13% are observed under varying irradiance and temperature, demonstrating the effectiveness of the FLC MPPT in regulating output. The system also extends battery life by optimizing power transfer between the PV module, boost converter, and battery, ensuring regulated SOC.
Publication
Continuous growth of global electrical energy consumption and the echo of global warming related issues have signaled research community to search an alternative way to generate and to efficiently manage the generated energy. Thus, engineering researches in Renewable Energy (RE) and Energy Storage Systems (ESS), especially Battery Energy Storage System (BESS) have been recognized as primary solution and having an assurance in generating, storing and using the electrical energy at optimum level, besides improving the grid utilization. With the presence of RE and BESS in a power system, it is necessary to have a controller which acts as the brain to interface all the system efficiently. Hence, the design and development of a controller become very crucial and need careful execution in order to meet the requirements for functionality, simplicity, portability, reliability as well as less cost. Therefore, this research is dedicated to design and develop an energy management system controller for BESS integrated with solar Photovoltaic (PV) system for smart energy utilization, which is based on load leveling and peak shaving applications for real-time AC power management. The main function of the controller is to monitor the load demand profile and trigger the battery to either charge from the solar PV or discharge to produce a leveled or shaved load profile that will be seen at the grid network, while maintaining the actual load demand usage.