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A Robust MPPT Control Based on Double Ended Forward Converter Architecture

Computers, Materials & Continua 2022年第1期70卷 135-150页

作者： M.Usman Khan K.M.Hasan a.faisal murtaza H.M.Usman Hadeed A.Sher University of Engineering&Technology Lahore54000Pakistan University of Central Punjab Lahore54000Pakistan Ghulam Ishaq Khan Institute of Engineering Sciences and Technology Swabi23430Pakistan

In this paper,a stand-alone photovoltaic(PV)system based on a Double Ended Forward Converter(DEFC)is *** proposed converter is specified for 48 V,100Wapplications as most of the equipment used in telecommunication and aircraft fall in this *** literature has limited potential application of DEFCin PV *** research work deals with an in-depth study of DEFCand proposes an improvedDEFCfor PV applications with battery ***,a bi-directional dc-dc converter for the battery is integrated to track theMaximumPower Point(MPP)of the PV *** converter is examined under variable irradiance and load conditions,and the analytical analysis of boundary conditions are *** converter’s architecture also ensures built-in I-V curve tracing for the identification of MPP of PV *** offers low voltage stresses across switches and avoids sinking power supply and core resetting *** topology’s behavior is analyzed based onMPP achievement and maintaining output under different conditions of battery backup availability,environmental,and load *** PV system architecture is designed and analyzed theoretically and verified with simulations on the PSIM software.

关键词： Photovoltaic power converter forward converter double ended forward converter bi-directional dc-dc converter MPP I-V curve tracing

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Stochastic maximum power point tracking of photovoltaic energy system under partial shading conditions

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Protection and Control of Modern Power Systems 2021年第1期6卷 383-395页

作者： Bushra Iqbal Ali Nasir Ali faisal murtaza Department of Electrical Engineering University of Central PunjabLahorePakistan

A large portion of the available power generation of a photovoltaic (PV) array could be wasted due to partial shading, temperature and irradiance effects, which create current/voltage imbalance between the PV modules. Partial shading is a phenomenon which occurs when some modules in a PV array receive non-uniform irradiation due to dust, cloudy weather or shadows of nearby objects such as buildings, trees, mountains, birds etc. Maximum power point tracking (MPPT) techniques are designed in order to deal with this problem. In this research, a Markov Decision Process (MDP) based MPPT technique is proposed. MDP consists of a set of states, a set of actions in each state, state transition probabilities, reward function, and the discount factor. The PV system in terms of the MDP framework is modelled first and once the states, actions, transition probabilities, and reward function, and the discount factor are defined, the resulting MDP is solved for the optimal policy using stochastic dynamic programming. The behavior of the resulting optimal policy is analyzed and characterized, and the results are compared to existing MPPT control methods.

关键词： Maximum power point tracking Markov decision process Photovoltaic energy systems Partial shading

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