This paper proposes two new Maximum Power Point Tracking (MPPT) methods which improve the conventional Fractional Open Circuit Voltage (FOCV) method. The main novelty is a switched semi-pilot cell that is used for measuring the open-circuit voltage. In the first method this voltage is measured on the semi-pilot cell located at the edge of PV panel. During the measurement the semi-pilot cell is disconnected from the panel by a pair of transistors, and bypassed by a diode. In the second Semi-Pilot Panel method the open circuit voltage is measured on a pilot panel in a large PV system. The proposed methods are validated using simulations and experiments. It is shown that both methods can accurately estimate the maximum power point voltage, and hence improve the system efficiency.

Improved Fractional Open Circuit Voltage MPPT Methods for PV Systems

In this paper, after defining Maximum Power Point Tracking (MPPT) control expectations, with the aim of finding the optimum routine in fulfilling these expectations, a review over the available MPPT control methods is presented. Throughout the review, by comparing conventional MPPT routines in terms of accomplishing defined control objectives, the necessity of designing a new MPPT control scheme based on adaptive fuzzy logic is expressed. Based on the conducted review, a new routine to optimize the MPPT performance of a Photovoltaic (PV)-setup and to fulfill all the MPPT control requirements is proposed. The optimization is performed in tracking the Maximum Power Point (MPP) of the PV-module by a Boost-converter using an “antecedent-consequent adaptive” indirect fuzzy-based MPPT scheme. The fuzzy-based scheme is tuned online using a novel computationally light membership function tuning routine, where the antecedent and consequent membership functions are tuned synchronously. As a result, a fast, smooth and computationally light MPPT controller is proposed. In this regard, the presented MPPT scheme tuned using the proposed novel tuning routine is compared with conventional direct and indirect fuzzy-based MPPT schemes, showing superiority of the proposed MPPT routine over conventional schemes.

A new MPPT scheme based on a novel fuzzy approach

Second order sliding mode-based MPPT control for photovoltaic applications

Renewable energy (RE) has become a focal point of interest as an alternative source of energy to the traditional fossil fuel and other energy sources due to the fact that it is more environmentally friendly, abundant and economically feasible. Many countries aggressively promote feed-in tariff schemes and solar photovoltaic (PV) systems have become one of the fastest growing RE sources that can be integrated into the grid distribution network. This paper reviews the recent development of grid-connected PV (GPV) generation systems comprising of several sub-components such as PV modules, DC-DC converter, maximum power point tracking (MPPT) technique, and an inverter. In addition, various grid synchronization and islanding detection methods are elaborated. The future key challenges to build a smart and efficient GPV generation system were also presented.

https://www.mdpi.com/1996-1073/13/17/4279/pdf

Grid-Connected PV Generation System—Components and Challenges: A Review

Now a days crucial importance are given to the renewable energy sources like wind energy, solar energy, biomass etc. as these sources are considered as eco-friendly and does less damage to the environment. In our study, a photovoltaic panel, wind system with PM synchronous generator and a battery energy system used for the micro grid development. In this methodology we are using two renewable energy sources i.e. wind power and solar power. These subsystems integrated to form a hybrid system. A battery storage system also used in conjunction with the grid system to provide extra support power to the generation unit. A battery energy system coupled using DC-to-DC based converter and then further integrated into the utility grid system using DC-to-AC inverter. To obtain the maximum power, Hill climbing based MPPT algorithm applied to the hybrid system. After that, simulation model and the result will be discuss. Then FFT based harmonic analysis performed in MATLAB environment, In order to maintain the power quality level of the hybrid energy based grid integration system.

Analysis of MPPT Based Grid Connected Hybrid Renewable Energy System with Battery Backup

This paper present the modeling and simulation of hill climbing (HC) maximum power point tracking (MPPT) using novel Single Ended Primary Inductance Converter (SEPIC). This article firstly introduces a practical model of photovoltaic by which the photovoltaic array's model is obtained. The HC algorithm is used to track the maximum power from the solar panel. The MPP of solar panel varies with irritation and temperature. A dc to dc improved SEPIC converter is used in connection with pv array's for achieving operation in maximum power point and keeping output voltage constant. In this improved converter, two inductors are used for feeding the load by two independent switch. The whole system is simulated using MATLAB/Simulink and simulation results presented.

Yousef Mazaheri Naeini

Papers

Modeling and simulation of hill climbing MPPT algorithm for photovoltaic application