Project Details
Description
This research project aims to enhance the efficiency and reliability of hybrid energy systems, specifically focusing on the integration of wind and solar energy sources. The primary objective is to optimize power extraction under varying climatic conditions through the utilization of a Fuzzy Logic approach.
The project will employ MATLAB software for system simulation, considering factors such as cloud cover, solar radiation, sun position, and wind speed. Various components including Maximum Power Point Tracking (MPPT) Controller, voltage-regulated inverters and energy storage systems will be incorporated into the energy management system.
In stand-alone operation, the research will analyze the hybrid system's performance with DC and AC loads alongside an MPPT controller. In grid-connected operation, the focus will extend to include energy storage, national grid connection, and bidirectional AC/DC converters.
An energy management system will be designed to optimize power extraction from hybrid energy sources, ensuring stability and reliability. The MPPT controller, coupled with voltage-regulated inverters and boost converters, will play a crucial role in maintaining load voltage and frequency at optimal levels.
Three distinct cases will be studied to evaluate the effectiveness of the MPPT controller in tracking the Maximum Power Point (MPP) under varying conditions. The utilization of Fuzzy Logic for MPPT control offers advantages over other approaches due to its adaptability and robustness.
Furthermore, the concept of Energy Internet will be implemented to facilitate multi-way information and energy flow, enhancing system intelligence and efficiency. In grid-connected operation, the integration of Household Energy Routers (HER) will further optimize energy distribution and utilization.
Overall, this research project aims to contribute to the advancement of hybrid energy systems by improving their reliability, efficiency, and adaptability to diverse environmental conditions.
The project will employ MATLAB software for system simulation, considering factors such as cloud cover, solar radiation, sun position, and wind speed. Various components including Maximum Power Point Tracking (MPPT) Controller, voltage-regulated inverters and energy storage systems will be incorporated into the energy management system.
In stand-alone operation, the research will analyze the hybrid system's performance with DC and AC loads alongside an MPPT controller. In grid-connected operation, the focus will extend to include energy storage, national grid connection, and bidirectional AC/DC converters.
An energy management system will be designed to optimize power extraction from hybrid energy sources, ensuring stability and reliability. The MPPT controller, coupled with voltage-regulated inverters and boost converters, will play a crucial role in maintaining load voltage and frequency at optimal levels.
Three distinct cases will be studied to evaluate the effectiveness of the MPPT controller in tracking the Maximum Power Point (MPP) under varying conditions. The utilization of Fuzzy Logic for MPPT control offers advantages over other approaches due to its adaptability and robustness.
Furthermore, the concept of Energy Internet will be implemented to facilitate multi-way information and energy flow, enhancing system intelligence and efficiency. In grid-connected operation, the integration of Household Energy Routers (HER) will further optimize energy distribution and utilization.
Overall, this research project aims to contribute to the advancement of hybrid energy systems by improving their reliability, efficiency, and adaptability to diverse environmental conditions.
| Status | Active |
|---|---|
| Effective start/end date | 23/03/21 → … |
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