A Comparative Study on Maximum Power Point Tracking Techniques for Photovoltaic Power Systems

Subudhi, Bidyadhar; Pradhan, Raseswari

doi:10.1109/tste.2012.2202294

Cited by 1,631 publications

(637 citation statements)

References 40 publications

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“…Several MPPT algorithms heva been proposed in the litherature to extract the maximum energy from PV modules. One of them is the well-known incremental conductance (IncCond) algorithm [20,21]. This method consists in the regulation of the PV voltage according to the MPP voltage reference.…”

Section: A Mppt Control Of Pv Generatormentioning

confidence: 99%

Adaptive Neural Network-Based Control of a Hybrid AC/DC Microgrid

Chettibi

Mellit

Sulligoi

et al. 2016

IEEE Trans. Smart Grid

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-In this paper, the behavior of a grid-connected hybrid AC/DC Microgrid has been investigated. Different Renewable Energy Sources -photovoltaics modules and a wind turbine generator -have been considered together with a Solid Oxide Fuel Cell and a Battery Energy Storage System. The main contribute of this work is the design and the validation of an innovative online-trained artificial neural network based control system for a hybrid microgrid. Adaptive Neural Networks are used to track the Maximum Power Point of renewable energy generators and to control the power exchanged between the Front-End Converter and the electrical grid. Moreover, a fuzzy logic based Power Management System is proposed in order to minimize the energy purchased from the electrical grid. The operation of the hybrid microgrid has been tested in the Matlab/Simulink environment under different operating conditions. The obtained results demonstrate the effectiveness, the high robustness and the self-adaptation ability of the proposed control system. OWADAYS, the wide diffusion of distributed RES presents a new scenario for the regulation of distribution networks and the availability of new technologies for storage systems encourages their use in power systems [1]. In general, a hybrid AC/DC MG integrates different Distributed Generators (e.g. solar power sources, wind power generators, cogenerators, etc.), a energy storage system and a number of AC and DC loads. A FEC can interface the MG with the electric grid and can operate either in a grid-connected or islanded mode. The use of a PMS is crucial to optimize the power flow through the different components of the MG and the exchange of energy with the electric grid. Moreover, since the power produced by RESs depends on the climatic conditions, MPPT algorithms are needed in order to harvest the maximum available energy. The intermittent nature of RESs with the time-varying loads demand make the use of advanced control structures fundamental in order to make the operation of the MG reliable, economic, and secure under different operating conditions. The MG must also guarantee a high quality power supply to both local loads and electrical grid. Index TermsMany works have focused on hybrid microgrids and have proposed a number of control schemes for different mode of operations [2]- [8]. A multiagent-based energy management system to optimizes the economic operation of a MG is presented in [2]. A reactive power sharing algorithm in hierarchical droop control is developed in [3]. A novel coordinated voltage control scheme with islanding capability for a MG is proposed in [4]. adapt to uncertainties and they can be used also when the model of the system to be controlled is not available. Recently, the NNs with the learning capability are widely applied for the control of complex power systems. In [9], a back-propagation NN is applied for the real-time estimation of the wind speed. A novel discrete-time NN controller for the control of DC distribution system is designed in [10]. In [11], a...

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Section: A Mppt Control Of Pv Generatormentioning

confidence: 99%

Adaptive Neural Network-Based Control of a Hybrid AC/DC Microgrid

Chettibi

Mellit

Sulligoi

et al. 2016

IEEE Trans. Smart Grid

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“…Thus, the IC method determines the MPP using successive iterations. A comparative study on various MPPT techniques is done by Subudhi and Pradhan [11]. Among various techniques, P&O and IC methods are widely used in commercial sectors.…”

Section: Legacy Mppt Algorithmsmentioning

confidence: 99%

Power and Frequency Fluctuations of MPPT Algorithms in Variable Irradiance Environments

et al. 2016

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Abstract. Solar cells use the natural sunlight for a variety of purposes including electrical power generation. In order to maximize the power obtained from a solar cell, it has to operate at what is known as the Maximum Power Point (MPP). Intelligent algorithms that can track MPP for a given cell are crucial for the success of a large scale deployment of solar panels. This paper investigates the performance of two well-known Maximum Power Point Tracking (MPPT) algorithms. A variable irradiance environment has been considered in this work, where sunlight varies significantly during the day. Towards the end, frequency stability analysis is conducted to evaluate the relevant impact of MPPT algorithms on frequency stability of system.

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“…In addition, a several number of intelligent methods have been adopted to estimate the voltage and the load current values such as fuzzy logic, artificial neural networks and genetic algorithms [11][12][13]. Such methods are frequently complex and require considerable knowledge in control system design.…”

Section: Introductionmentioning

confidence: 99%