International Journal of Applied Power Engineering (IJAPE) Vol. 11, No. 3, September 2022, pp. 229~236 ISSN: 2252-8792, DOI: 10.11591/ijape.v11.i3.pp229-236  229 Journal homepage: http://ijape.iaescore.com Inverter based implementation of maximum power point techniques Ashish Grover, Richa Adlakha Department of Electrical and Electronics Engineering, Manav Rachna International Institute of Research and Studies, Haryana, India Article Info ABSTRACT Article history: Received Feb 22, 2021 Revised Aug 10, 2022 Accepted Aug 16, 2022 The utilization of renewable energy sources is being pushed by both greater environmental consciousness and expanding demand. Recently, solar photovoltaic technology has found increased use for a broader range of applications. This may be ascribed to solar energy's extensive availability as well as its long-term viability and low cost. According to the global photovoltaic (PV) industry, 594 gigawatts (GW) of PV capacity were installed in 2019, with the objective of replacing conventional source-based generating facilities. The major problem in PV production, however, is identifying the maximum power point tracking (MPPT) systems that are currently in use to compute peak output. For 1240 W PV power plants, this article compares perturb & observe MPPT approaches with incremental conductance MPPT techniques. The MATLAB Simulink program was utilized to conduct the study, which was based on many factors such as voltage, current, and output power under various weather conditions. When these MPPT algorithms are applied to solar trackers, the efficiency, reaction time, and steady-state oscillations all improve. Keywords: Grid Inverters Irradiance MPPT Photovoltaic PV Array This is an open access article under the CC BY-SA license. Corresponding Author: Ashish Grover Department Electrical and Electronics Engineering Manav Rachna International Institute of Research and Studies Faridabad, Haryana, India Email: ashi.21s@gmail.com 1. INTRODUCTION Renewable energy is used to produce "green energy". The most promising renewable energy generating technique is presently solar energy generation utilizing photovoltaic (PV) technology. PV generating is becoming more popular because to its environmental benefits, ample supply, and economic efficiency. PV cells directly convert solar energy into electricity. Because the power generated is direct current (DC), it must be converted to alternating current (AC) at an acceptable frequency before being sent to the loads. Power converters are thus used to link PV installations to grids. PV system power must be provided to diverse loads through grids via inverters. The primary challenges in integrating a PV system with a grid are the operating characteristics of the load corresponding to the PV array [1]. The intersection of the PV array's I-V curves and the load, which is not always stable, provides the highest power point. On the system, maximum power point techniques are employed to generate a stable and maximum power point (MPP) on the I-V curve. The PV array is modeled for irradiance and temperature data before obtaining the MPP. Since manual calculations are impractical, many software applications are available to calculate different elements such as irradiance and temperature [2]. So, these computer-based methods are centered on creating the algorithm that extracts the greatest electricity from the PV system.