An optimization tool for energy efficiency of street lighting systems in smart cities

被引：39

作者：

Carli, Raffaele ^{[1
]}

Dotoli, Mariagrazia ^{[1
]}

Cianci, Edmondo ^{[1
]}

机构：

[1] Politec Bari, Dept Elect & Informat Engn, Bari, Italy

来源：

IFAC PAPERSONLINE | 2017年 / 50卷 / 01期

关键词：

Smart Cities; Energy and Distribution Management Systems; Optimization; Decision Making; Street Lighting; MANAGEMENT;

D O I：

10.1016/j.ifacol.2017.08.2292

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper develops a decision making tool to support the public decision maker in selecting the optimal energy retrofit interventions on an existing street lighting system. The problem statement is based on a quadratic integer programming formulation and deals with simultaneously reducing the energy consumption and ensuring an optimal allocation of the retrofit actions among the street lighting subsystems. The methodology is applied to a real street lighting system in Bari, Italy. The obtained results demonstrate that the approach effectively supports the city governance in making decisions for the optimal energy management of the street lighting. (C) 2017, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

引用

页码：14460 / 14464

页数：5