Energy management algorithm for an optimum control of a photovoltaic water pumping system

Sallem, Souhir; Chaabene, Maher; Kamoun, Mohamed

doi:10.1016/j.apenergy.2009.04.018

Cited by 60 publications

(24 citation statements)

References 24 publications

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“…There are many studies about the sizing and optimization of renewable energy systems since the recent popular utilization of renewable energy [68][69][70][71]. Among the optimization methods, the genetic algorithm (GA) approach has been extensively studied.…”

Section: System Sizing and Optimizationmentioning

confidence: 99%

Pumped storage-based standalone photovoltaic power generation system: Modeling and techno-economic optimization

et al. 2015

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Section: System Sizing and Optimizationmentioning

confidence: 99%

Pumped storage-based standalone photovoltaic power generation system: Modeling and techno-economic optimization

et al. 2015

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“…This management system controls the energy produced by the PV array and battery storage to supply the demand [21][22].…”

Section: Modes Of Operation Of Proposed Systemmentioning

confidence: 99%

An Optimal Energy Management System for PV/Battery Standalone System

Jyothi¹,

Muni²,

Lalitha³

2016

IJECE

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This paper presents an optimal energy management for PV/battery standalone system. The system comprises photovoltaic array, battery, inverter and AC loads. PV array is an uncontrollable source due to the variations in irradiations and temperature. To deliver the highest point to the load a maximum power point tracking technique is used. In synchronization with battery bank the system becomes controllable. Modes of operation of the system are defined by the battery bank. Modes of operation are based on the difference between supply and load demand. This paper project proposes an optimal energy management strategy to improve the performance of the PV system. The anticipated system performance is evaluated for varying loads in MATLAB/simulink. Keyword:Battery Energy management MPPT PV system Transformer buck conveter Copyright © 2016 Institute of Advanced Engineering and Science.All rights reserved.Corresponding Author:T. Vijay Muni, Department of Electrical and Electronics Engineering, K L University, Vaddeswaram, Guntur Dt, Andhra Pradesh-522502, India. Email: vijaymuni@kluniversity.in INTRODUCTIONDue to critical situation of fossil fuel declining and the global warming effect, alternative energies became popular. In nature many renewable energy resources are available like solar, wind, tidal and hydel. But solar energy is the most popular source among the alternative energy resource with out emission of pollutants energy conversion is done. Demand for solar energy is increased from 20% to 25% over the past 15 years. Other advantages of solar energy are like eco-friendly, abundant availability in nature. Power Electronics palys a major role in this energy management system [1-2]. A power Electronics converter converts the DC power from the PV source into AC power which is used to supply the local loads or to grid [3][4][5].Generally a PV cell has low energy conversion efficiency. Its voltage is about 0.5-0.8V, to track the maximum power from photovoltaic maximum power point tracing is essential. Since the PV energy source is discontinuous in nature, to supply power to the load continuously battery is added. Energy can be stored in the battery or it can supply thelocal load or grid [6][7]. It will define depending upon the different modes of operation. Energy balance between the supply energy and load determines the modes of operation. Bidirectional converter offers the advantages of reducing the no. of batteries used and also ensures the power flow even if one of the cells fails [8].Energy Management system for controlling a Microgrid is presented in [9]. This paper presents management of power flow for minimizing the cost of electricity and reduction loss of energy produced by renewable energy sources.Lagorse et al., [10] proposed an Energy Management System to control the energy flow in the microgrid which is composed by PV system, Fuel Cell, supercapacitor and load.

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“…It is important to remark the fact that the constant discharging and charging of the batteries lead them to becoming quickly ineffective, so DOD is an important parameter that will be used inside the control system, as in [23,24]. Therefore, the battery capacity that has finally been chosen in the simulation in Section 6 aims to be the least harmful to the system.…”

Section: Short-term Energy Storagementioning

confidence: 99%

Offshore Desalination Using Wave Energy

Serna

Tadeo

2013

Advances in Mechanical Engineering

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This paper evaluates the design of an offshore desalination plant currently under preliminary development. The purpose is to test the feasibility of producing drinkable water using wave energy in out-of-sight installations, as an alternative for those locations where land use, civil engineering works, and/or environmental impact make a coast-based solution inadequate. After describing the components, a proposal for sizing them is studied, based on using buoy-measured data at the expected location and their mathematical models of the different sections of the plant. Finally, by using measured buoy data, the influence of sizing on the expected performance is studied for a specific location, and one of the designs is developed in detail.

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Energy management algorithm for an optimum control of a photovoltaic water pumping system

Cited by 60 publications

References 24 publications

Pumped storage-based standalone photovoltaic power generation system: Modeling and techno-economic optimization

Pumped storage-based standalone photovoltaic power generation system: Modeling and techno-economic optimization

An Optimal Energy Management System for PV/Battery Standalone System

Offshore Desalination Using Wave Energy

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