LABVIEW-BASED INTELLIGENT MONITORING AND PERFORMANCE ANALYSIS OF RENEWABLE ENERGY SYSTEMS

Abstract

The growing demand for clean and reliable energy has increased the need for effective monitoring of renewable systems such as solar, wind, and hybrid power. This work presents a LabVIEW-based intelligent monitoring and performance analysis system to improve efficiency, control, and reliability. Traditional monitoring methods are often inaccurate and not suitable for real-time analysis. LabVIEW enables graphical programming, real-time visualization, and easy hardware integration.The proposed system collects real-time data from sensors measuring voltage (V), current (I), temperature (T), power (P), and energy (E) using data acquisition hardware. The LabVIEW interface displays parameters through graphs such as power vs time and efficiency vs time. Mathematical models including P = V × I and Efficiency (%) = (Output/Input) × 100 are used for analysis, along with battery State of Charge (SOC). Experimental results show that the system achieves 85%–95% efficiency for solar PV systems, compared to 80%–90% in existing methods. The hybrid system demonstrates improved stability and performance. The system also detects faults like temperature rise and voltage drops with real-time alerts.Overall, the proposed system provides accurate, fast, and cost-effective monitoring. It is suitable for academic and industrial applications, with future scope in IoT integration and AI-based predictive maintenance.