Optimal Economic Schedule for a Network of Microgrids With Hybrid Energy Storage System Using Distributed Model Predictive Control

被引:94
作者
Garcia-Torres, Felix [1 ]
Bordons, Carlos [2 ]
Ridao, Miguel A. [2 ]
机构
[1] Ctr Nacl Hidrogeno, Applicat Unit, Ciudad Real 13500, Spain
[2] Univ Seville, Escuela Tecn Super Ingn, Syst Engn & Automat Control Dept, Seville 41092, Spain
关键词
Distributed control; energy management; network operating systems; MANAGEMENT;
D O I
10.1109/TIE.2018.2826476
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, an optimal procedure for the economic schedule of a network of interconnected microgrids with hybrid energy storage system is carried out through a control algorithm based on distributed model predictive control (DMPC). The algorithm is specifically designed according to the criterion of improving the cost function of each microgrid acting as a single system through the network mode operation. The algorithm allows maximum economical benefit of the microgrids, minimizing the degradation causes of each storage system, and fulfilling the different system constraints. In order to capture both continuous/discrete dynamics and switching between different operating conditions, the plant is modeled with the framework of mixed logic dynamic. The DMPC problem is solved with the use of mixed integer linear programming using a piecewise formulation, in order to linearize a mixed integer quadratic programming problem.
引用
收藏
页码:1919 / 1929
页数:11
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