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000999173 0247_ $$2doi$$a10.4236/ojee.2022.112004
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000999173 1001_ $$0P:(DE-Juel1)184798$$aZavos, Ioannis$$b0$$eCorresponding author
000999173 245__ $$aModeling and Implementation of a Highly Efficient Solar-Powered Storage Installation through Self-Reconfigurable Batteries
000999173 260__ $$aIrvine, CA$$bScientific Research Publ.$$c2022
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000999173 520__ $$aSelf-reconfigurable batteries represent a new and promising technique of electrochemical storage. The application of self-reconfigurable batteries can resolve the challenge of efficient renewable storage in solar-powered installations. In this paper, the problem of solar panel’s Maximum Power Point (MPP) tracking utilizing self-reconfigurable batteries is explored through modeling. The efficiency of energy storage is improved by removing the intervening DC/DC converter, which is usually necessary for solar PV applications. To make such a system functional, a Switching Battery Management System (SBMS) is proposed instead of a traditional couple of DC/DC converter and usual BMS. This system allows the series connection of multiple battery modules of different sizes, States-of-Charge (SoC), and States-of-Health (SoH). Two main challenges arise by the proposed implementation: tracking MPP of solar panels through battery cell switching and maintaining an equal (balanced) SoC of the separate cells/modules. The theoretical investigation includes developing the distinct software parts: digital twins of the battery module and solar PV modules that interact with the SBMS and the algorithm according to which the proposed SBMS will operate. The SBMS algorithm, based on sorting the battery cells according to their SoC, resolves both challenges. Having this promising theoretical starting point, a working prototype was developed. The prototype worked as expected and was tested under field conditions, being integrated into the power grid as part of a virtual power plant.
000999173 536__ $$0G:(DE-HGF)POF4-1223$$a1223 - Batteries in Application (POF4-122)$$cPOF4-122$$fPOF IV$$x0
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000999173 7001_ $$0P:(DE-Juel1)173719$$aDanilov, Dmitri L.$$b1
000999173 7001_ $$0P:(DE-Juel1)165918$$aNotten, Peter H. L.$$b2
000999173 773__ $$0PERI:(DE-600)2704333-2$$a10.4236/ojee.2022.112004$$gVol. 11, no. 02, p. 37 - 53$$n02$$p37 - 53$$tOpen journal of energy efficiency$$v11$$x2169-2637$$y2022
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