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Energies 2017, 10(4), 453; doi:10.3390/en10040453

Energy Management with Support of PV Partial Shading Modelling in Micro Grid Environments

Department of Information Engineering, Università Politecnica delle Marche, Via Brecce Bianche 1, 60131 Ancona, Italy
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Academic Editor: Peter J. S. Foot
Received: 19 February 2017 / Revised: 17 March 2017 / Accepted: 24 March 2017 / Published: 1 April 2017
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Abstract

Although photovoltaic power plants are suitable local energy sources in Micro Grid environments, when large plants are involved, partial shading and inaccurate modelling of the plant can affect both the design of the Micro Grid as well as the energy management process that allows for lowering the overall Micro Grid demand towards the main grid. To investigate the issue, a Photovoltaic Plant simulation model, based on a real life power plant, and an energy management system, based on a real life Micro Grid environment, have been integrated to evaluate the performance of a Micro Grid under partial shading conditions. Using a baseline energy production model as a reference, the energy demand of the Micro Grid has been computed in sunny and partial shading conditions. The experiments reveal that an estimation based on a simplified PV model can exceed by 65% the actual production. With regards to Micro Grid design, on sunny days, the expected costs, based on a simplified PV model, can be 5.5% lower than the cost based on the double inverter model. In single cloud scenarios, the underrating can reach 28.3%. With regard to the management process, if the energy yield is estimated by means of a simplified PV model, the actual cost can be from 17.1% to 21.5% higher than the theoretical cost expected at design time. View Full-Text
Keywords: micro grid; mixed integer linear programming; energy management; renewable energy sources; partial shading; photovoltaic systems micro grid; mixed integer linear programming; energy management; renewable energy sources; partial shading; photovoltaic systems
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Severini, M.; Principi, E.; Fagiani, M.; Squartini, S.; Piazza, F. Energy Management with Support of PV Partial Shading Modelling in Micro Grid Environments. Energies 2017, 10, 453.

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