2016
DOI: 10.25046/aj010203
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Energy Management and Simulation of Photovoltaic/Hydrogen/Battery Hybrid Power System

Abstract: This manuscript focuses on a hybrid power system combining a solar photovoltaic array and energy storage system based on hydrogen technology (fuel cell, hydrogen tank and electrolyzer) and battery. The complete architecture is connected to the national grid through power converters to increase the continuity of power. The proposed hybrid power system is designed to work under classical-based energy management algorithm. According to the proposed algorithm, the PV has the priority in meeting the load demands. T… Show more

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Cited by 26 publications
(9 citation statements)
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“…Battery dynamic range (BDR) is described as the difference between the highest and the least battery stored energy [51]truemin J 4 = BDR = E bat normal_ truemax E bat normal_ truemin To obtain minimum solutions for this complex optimality search problem, a single combined weighted objective function could be applied to aggregate the features of all the stated objective functions as follows:J normalo = n = 1 4 αn Jn where α n is the n th weighting parameter for the n th objective function. Therefore, the decision variables can be defined as a vector, i.e.x = falsefalse{ α 1 , α 2 , α 3 , α 4 falsefalse}α d truemin αd α d truemax 1emwhere thickmathspaced = 1 , 2 , 3 , 4 where α d is the weighting variable for the d th dimension and the range of the weighting parameter is selected between a maximum and a minimum value; α d max , α d min .…”
Section: Energy Management Strategymentioning
confidence: 99%
“…Battery dynamic range (BDR) is described as the difference between the highest and the least battery stored energy [51]truemin J 4 = BDR = E bat normal_ truemax E bat normal_ truemin To obtain minimum solutions for this complex optimality search problem, a single combined weighted objective function could be applied to aggregate the features of all the stated objective functions as follows:J normalo = n = 1 4 αn Jn where α n is the n th weighting parameter for the n th objective function. Therefore, the decision variables can be defined as a vector, i.e.x = falsefalse{ α 1 , α 2 , α 3 , α 4 falsefalse}α d truemin αd α d truemax 1emwhere thickmathspaced = 1 , 2 , 3 , 4 where α d is the weighting variable for the d th dimension and the range of the weighting parameter is selected between a maximum and a minimum value; α d max , α d min .…”
Section: Energy Management Strategymentioning
confidence: 99%
“…A PV panel is comprising a series of solar cells, and PV generation has many advantages over traditional power generation methods, including their quiet operation, the lack of pollution, free natural availability and not requiring fuel. Papers [21][22] describe the non-linear current-voltage relationship of PV arrays. The output voltage of the PV panel, V PV is given by:…”
Section: A-pv Panal Analysismentioning
confidence: 99%
“…Solid state electrochemical cells are energy conversion technologies capable of either producing or using electricity to help balance a growing production and consumption mismatch in current renewable power sources. When run as a solid oxide fuel cell (SOFC), these devices can meet power requirements up to 300 kW and energy conversion efficiencies as high as 90% without the release of pollutants such as NO x and SO x and with reduced greenhouse gas emissions. The critical components of an SOFC are the electrodes, as these directly determine the device’s performance and durability. Because an SOFC is cycled between room temperature and operating temperatures above 700 °C, the electrode’s thermal expansion must be relatively close to that of the electrolyte to prevent mechanical stress and/or electrode delamination.…”
Section: Introductionmentioning
confidence: 99%