Economic Model Predictive Control for Optimal Operation of Home Microgrid with Photovoltaic-Combined Heat and Power Storage Systems

被引：11
|
作者：
Rodriguez, Diego I. Hidalgo [1 ]
Myrzik, Johanna M. A. [1 ]
机构：
[1] TU Dortmund Univ, Inst Energy Syst Energy Efficiency & Energy Econ, Dortmund, Germany
来源：
IFAC PAPERSONLINE | 2017年 / 50卷 / 01期
关键词：
Microgrids; Model predictive control; Optimization; Storage systems; MANAGEMENT;
D O I：
10.1016/j.ifacol.2017.08.2039
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, the economic model predictive control operation of a home microgrid with photovoltaic-combined heat and power storage systems is investigated. The purpose of the paper is to present the problem formulation, and quantify the impact of uncertainty coming from the thermal behavior of the mini combined heat and power plant. A model predictive control based strategy is contrasted with an open loop-based operation and a perfect forecast based operation. The paper discusses the effects of having such an uncertainty, relaying the benefits of using model predictive control to handle such situations. Additionally, the paper at hand presents a sensitivity analysis regarding storage size, concluding that the proposed economic model predictive control strategy can be used to reduce total annual costs. (C) 2017, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
引用
收藏
页码：10027 / 10032
页数：6
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