Sequential linear programming and particle swarm optimization for the optimization of energy districts

被引：11
|
作者：
Riccietti, Elisa [1 ,4 ]
Bellavia, Stefania [2 ]
Sello, Stefano [3 ]
机构：
[1] Univ Firenze, Dipartimento Matemat & Informat Ulisse Dini, Florence, Italy
[2] Univ Firenze, Dipartimento Ingn Ind, Florence, Italy
[3] Enel Ingn & Ric, Pisa, Italy
[4] IRIT, Toulouse, France
来源：
ENGINEERING OPTIMIZATION | 2019年 / 51卷 / 01期
关键词：
Nonlinear optimization problems; sequential linear programming; particle swarm optimization; energy districts; penalty functions; EVOLUTIONARY; ALGORITHM; CONVERGENCE; MODEL;
D O I：
10.1080/0305215X.2018.1440291
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
This article deals with the optimization of energy resource management of industrial districts, with the aim of minimizing customer energy expenses. A model of the district is employed, whose optimization gives rise to a nonlinear constrained optimization problem. Here the focus is on its numerical solution. Two different methods are considered: a sequential linear programming method and a particle swarm optimization method. Efficient implementations of both approaches are devised and the results of the tests performed on several energetic districts are reported, including a real case study.
引用
收藏
页码：84 / 100
页数：17
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