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Energies 2017, 10(2), 241; doi:10.3390/en10020241

Optimization Models for Islanded Micro-Grids: A Comparative Analysis between Linear Programming and Mixed Integer Programming

1
Department of Energy, Politecnico di Milano, Via La Masa 34, 20156 Milan, Italy
2
Elvi Energy S.r.l., Piazza del Tricolore 4, 20129 Milan, Italy
*
Author to whom correspondence should be addressed.
Received: 23 December 2016 / Accepted: 10 February 2017 / Published: 16 February 2017
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Abstract

This paper presents a comparison of optimization methods applied to islanded micro-grids including renewable energy sources, diesel generators and battery energy storage systems. In particular, a comparative analysis between an optimization model based on linear programming and a model based on mixed integer programming has been carried out. The general formulation of these models has been presented and applied to a real case study micro-grid installed in Somalia. The case study is an islanded micro-grid supplying the city of Garowe by means of a hybrid power plant, consisting of diesel generators, photovoltaic systems and batteries. In both models the optimization is based on load demand and renewable energy production forecast. The optimized control of the battery state of charge, of the spinning reserve and diesel generators allows harvesting as much renewable power as possible or to minimize the use of fossil fuels in energy production. View Full-Text
Keywords: islanded micro-grids; hybrid power plants; linear programming; mixed integer programming islanded micro-grids; hybrid power plants; linear programming; mixed integer programming
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Dolara, A.; Grimaccia, F.; Magistrati, G.; Marchegiani, G. Optimization Models for Islanded Micro-Grids: A Comparative Analysis between Linear Programming and Mixed Integer Programming. Energies 2017, 10, 241.

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