Incorporating Incremental Conductance MPPT Techniques into Solar Power Extraction

¹ Department of Mechanical Engineering, GLA University, Mathura, UP, India
² Electronics and Communication Engineering, New Horizon College of Engineering, Bangalore, Karnataka, India.
³ Lovely Professional University, Phagwara, India.
⁴ Department of Information Technology, GRIET, Bachupally, Hyderabad, Telangana, India.
⁵ Lloyd Institute of Engineering & Technology, Knowledge Park II, Greater Noida, Uttar Pradesh, India.
⁶ Medical Laboratory Technology Department, College of Medical Technology, The Islamic University, Najaf, Iraq
⁷ Department of Electrical and Electronics Engineering, MLR Institute of Technology, Hyderabad, Telangana, India - 500067

^* Corresponding author: aravindake@gmail.com

Abstract

Research into alternative, green energy sources such as solar power has been driven by concerns about environmental sustainability, escalating petroleum costs, and surging energy demand. Solar energy can power the entire world sustainably, since it is abundant and easy to access. Solar radiation, cell temperature, and load impedance all play a part in improving the efficiency of solar energy utilization. In order to maximize solar energy utilization, Maximum Power Point Tracking (MPPT) techniques are used. In order to address factors such as solar effectiveness, dynamic response, convergence speed, complexity, cost, and sensor requirements, different MPPT techniques have been developed. Using Incremental Conductance (INC) as an example, this paper provides a comprehensive overview of MPPT techniques. P&O’s drawback of oscillations around the Maximum Power Point (MPP) is overcome by INC, which minimizes them. The MPP voltage is maintained until the incremental conductance equals zero by comparing the instantaneous conductance of the panel with the incremental conductance. In addition to being easy to implement, INC-based methods offer rapid tracking and efficiency gains. Results from simulations demonstrate INC MPPT’s effectiveness in maximizing power extraction from photovoltaic systems, especially when environmental conditions change rapidly.