Enhancing the Performance of Integrated Solar Wind and Battery System with Grid using Fuzzy Based MPPT

Abstract

There is worldwide interest in renewable energy, including solar and wind power, driven by the depletion of fossil fuel and global warming. An alternative source for energy presents availability, cost, and efficiency; however, their integration into hybrid systems becomes challenging due to the intermittent nature of power output. To tackle these matters, fuzzy based Maximum Power Point Tracking (MPPT) controller has been developed. Such an MPPT controller can smooth out weather disturbances for more reliable system operations under changing input or loads conditions. Additionally, a battery connected bi-directional converter makes for effective charging and discharging processes. The grid-connected system also acts as a backup source whenever the hybrid solar-wind system together with its battery fails to meet consumer load requirements. This integration improves overall output efficiency of solar-wind hybrid systems with batteries connected to the grid. In the proposed system there are two cases with the SOC of the Battery is 9% and 50% and maintaining the AC Load power 1000W from 0Sec to 2Sec and 2400W From the 2Sec in both conditions. The efficacy of this scheme is justified through detailed simulation results obtained from using MATLAB software tools which show remarkable performance enhancements in this regard.

Keywords

• Solar Panel
• Wind Turbine
• PMSG
• Incremental Conductance
• Fuzzy Logic Controller
• Bi-Directional Converter