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

被引：31

作者：

Dolara, Alberto ^{[1
]}

Grimaccia, Francesco ^{[1
]}

Magistrati, Giulia ^{[1
]}

Marchegiani, Gabriele ^{[2
]}

机构：

[1] Politecn Milan, Dept Energy, Via Masa 34, I-20156 Milan, Italy

[2] Elvi Energy Srl, Piazza Tricolore 4, I-20129 Milan, Italy

来源：

ENERGIES | 2017年 / 10卷 / 02期

关键词：

islanded micro-grids; hybrid power plants; linear programming; mixed integer programming; ENERGY MANAGEMENT-SYSTEM; CONTROL STRATEGY; NEURAL-NETWORK; POWER; OPERATION; DESIGN;

D O I：

10.3390/en10020241

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

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.

引用

页数：20

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