article · Frontiers in Engineering and Built Environment
Silicon photovoltaic systems face challenges regarding high costs and power conversion efficiency. Maximising the power extracted from solar modules relies on maximum power point tracking, which accounts for non-linear current-voltage characteristics. A review and simulation study evaluated different tracking techniques, focusing on a direct comparison between the Perturb and Observe method and the incremental conductance method. Both approaches were modelled in Matlab Simulink using a solar cell connected to a boost converter under steady temperature and irradiance conditions. The simulation results confirmed the accuracy of the photovoltaic model and demonstrated improved tracking efficiency. When configured, the Perturb and Observe method achieved 94 percent performance and exhibited a faster time response. In contrast, the incremental conductance technique demonstrated a significantly slower response rate during tracking operations.
Solar power generation requires efficient methods to extract the highest possible energy from photovoltaic panels. Because solar modules have non-linear electrical behaviour, tracking algorithms help overcome power conversion limitations. Understanding the performance and response speeds of tracking approaches such as Perturb and Observe enables system designers to improve power output from photovoltaic installations under steady operating conditions.
This simulation-based study focuses on tracking algorithms for solar power systems, which could be implemented in boost converter controllers and solar inverter hardware. The research evaluates software methods rather than physical hardware, placing it at an early computational stage. Solar equipment manufacturers and control engineers may use these algorithmic performance insights to inform control software design, though physical testing across varying real-world environmental conditions is not addressed in the abstract.
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Purpose Silicon photovoltaics technology has drawbacks of high cost and power conversion efficiency. In order to extract the maximum output power of the module, maximum power point (MPP) is used by implying the nonlinear behavior of I-V characteristics. Different techniques are used regarding maximum power point tracking (MPPT). The paper aims to review the techniques of MPPT used in PV systems and review the comparison between Perturb and Observe (P&O) method and incremental conductance (IC) method that are used to track the maximum power and gives a comparative review of all those techniques. Design/methodology/approach A study of MPPT techniques for photovoltaic (PV) systems is presented. Matlab Simulink is used to find the MPP using P&O simulation along with IC simulation at a steady temperature and irradiance. Findings MATLAB simulations are used to implement the P&O method and IC method, which includes a PV cell connected to an MPPT-controlled boost converter. The simulation results demonstrate the accuracy of the PV model as well as the functional value of the algorithms, which has improved tracking efficiency and dynamic characteristics. P&O solution gave 94% performance when configured. P&O controller has a better time response process. As compared to the P&O method of tracking, the incremental conductance response rate was significantly slower. Originality/value In PV systems, MPPT techniques are used to optimize the PV array output power by continuously tracking the MPP under a variety of operating conditions, including cell temperature and irradiation level.
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DOI: 10.1108/febe-03-2021-0019
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