A Novel Photovoltaic Module Quick Regulate MPPT Algorithm for Uniform Irradiation and Partial Shading Conditions

Hwa-Dong Liu,Shiue-Der Lu,Chang-Hua Lin,Yu-Lin Lee

doi:10.3390/pr9122213

Abstract

This study proposed a new photovoltaic module quick regulate (PVM-QR) maximum power point tracking (MPPT) algorithm, which can eliminate the disturbance problem of the hill-climbing (HC) algorithm, especially under low irradiance level and partial shading conditions (PSC). This proposed algorithm has the advantage that it only uses the detection photovoltaic module (PVM) impedance and the open-circuit voltage to simply and quickly calculate the PVM temperature, the irradiance level, and then the key factor parameter u. To achieve the MPPT quickly and accurately, this proposed algorithm is developed for the prediction of the best MPPT duty cycle based on the irradiance level, parameter u, and load. This study verified the proposed MPPT by the measurement results, where the HC algorithm MPPT has 95% efficiency at 0.55 kW/m2 but diverges at 0.2 kW/m2 under uniform irradiation conditions (UIC), and the proposed MPPT algorithm has an improved efficiency (99%) under the same conditions. Moreover, the proposed MPPT algorithm has 99% efficiency under PSC, while the HC algorithm MPPT’s efficiency is 66%. This study implemented a simple-design circuit with the proposed MPPT algorithm for UIC and PSC, where the actual experiment results can also verify that the proposed algorithm performs better than the HC algorithm.

Highlights

In recent years, industrial development has affected the earth’s climate and led to the greenhouse effect
This study focused on solar power generation (SPG) systems, as its applications have been prevalent, such as electric vehicle charging stations [1], battery chargers [2], street lights [3], electric water heaters [4], artificial satellites [5], and household electricity [6]
This study proposed a photovoltaic module quick regulate (PVM-QR) maximum power point tracking (MPPT) algorithm to analyze the relationship between the PVM Voc, Vpvm, Ipvm, Rpvm, temperature, and irradiance level

Summary

Introduction

Industrial development has affected the earth’s climate and led to the greenhouse effect. To achieve the MPP, the artificial bee colony algorithm combined with a single current sensor HC was introduced [21] This is an intelligent control strategy to search the MPP on the P-V curve, which reduces the path extent to the actuating point. The proposed uses the image recognition technique of shading, when a part of the PVM is shaded, and uses the relay circuit to do electrical reconfiguration to enhance the power output under PSC [28] This developed the buck-boost converter with parallel power processing function, as well as the multiple P&O algorithms, enhanced system performance [29]. The actuating point of the proposed MPPT algorithm can accurately capture the MPP in time under the Processes 2021, 9, 2213 conditions that irradiance level has rapid changes. PVM-QR MPPT algorithm is suitable under uniform irradiation conditions (UIC) and PSC, which can greatly improve the system efficiency and reduce the design cost.

Hill-Climbing Algorithm

Proposed Algorithm

Experimental Results

Conclusions