Power Optimisation of a Renewable Power Generation System with Energy Management System

Chang, Jun Weng (2022) Power Optimisation of a Renewable Power Generation System with Energy Management System. Final Year Project (Bachelor), Tunku Abdul Rahman University College.

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Abstract

Solar energy is one of the vital resources for renewable energy generation system since it is clean, pollution-free and sustainable energy. However, due to the intermittent of solar energy, the Photovoltaic (PV) system requires a Maximum Power Point Tracker (MPPT) controller and an energy storage system with reliable power management control to ensure the PV system is always operating at its maximum power point. Besides, power management is essential for continuous power supply to the consumers. In this project, MATLAB Simulink is used to evaluate the proposed project. PV module will be constructed and its performance will be investigated under different atmospheric conditions, considering parameters such as solar irradiance, temperature and load resistance as the preliminary study for this project. A comparison of the PV system with and without the MPPT controller also has been done. Three typical MPPT approaches included perturb and observe, incremental conductance and fuzzy logic MPPT algorithms have been tested to select the most suitable algorithm to be implemented as the MPPT controller. Based on the simulated results, it shows that the perturb and observe is the best choice as it has high efficiency (98.05%) with a fast response time to reach maximum power point (0.070 s). Meanwhile, it has the shortest algorithm processing time (15.82 s). In addition, the standalone PV system which is equipped with the battery has been developed with the implementation of an improved version of PI control technique. The proposed Energy Management System (EMS) was able to balance the power generation and utilization by alleviating the mismatch between the PV power generation and the load demand while maintaining the bus voltage stably at 240 V. Voltage control mode was also implemented as part of the EMS so that it can prevent the wastage of power. From the analysis results, the proposed system can reduce 0.89 tonnes of carbon dioxide annually and the payback period of the system is 12 years with earnings of RM 172.55.