Fuzzy Adaptive P&O Control for MPPT of a Photovoltaic Module

Abstract

In this work a Maximum Power Point Tracker (MPPT) for photovoltaic modules is developed using fuzzy logic. As it is well known, the output of the photovoltaic module is a non-linear curve which has a unique point of maximum power (MPP) for a given condition of radiation and temperature. When a load is connected to the module, only in very specifics cases, the operation point will coincide with the MPP, for any other conditions the system will not operate with maximum power. Thus MPPT circuits must guarantee that photovoltaic modules operate with its maximum power at most of the time, independently to the radiation and temperature conditions. In order to achieve this objective, in this paper the input variables of the controller are transformed into linguistic variables, which associate with a set of rules results the displacement of the operation point so as to transfer the maximum power from the photovoltaic module to the load.

Investigations on grid connected PV system under variable irradiation conditions

“…The different maximum power point harvesting techniques are used to find the MPP and are listed in [6], and are shown in below fig 1. Among the above techniques, the universally accepted method of obtaining MPP is the Perturb and Observer (P & O) [7][8][9][10]. In present paper pays under all the possible conditions the conventional P&O method tracks the maximum power irrespective of the system operating conditions.…”

A Comprehensive Analysis on Sizing of Solar Energy Harvester Elements for Wireless Sensor Motes

“…There are a large number of PV harvesting circuits [3]- [5] and [10]- [12] proposed recently. Wide variety of MPPT algorithms [6], [8], [18], [23], [24] & [32] are used to gain better tracking accuracy. A low power maximum power point tracker using the adaptive maximum power point tracking (MPPT) algorithm suitable for WSN node is developed by Cesare Alippi [10].…”