Performance Analysis of a Hybrid Energy Storage System based on Dynamic Simulations

被引：0
作者：
Dimopoulou, Stamatia [1 ]
Boggasch, Ekkehard [2 ]
Rausch, Andreas [3 ]
机构：
[1] Ostfalia Univ Appl Sci, Lab Modeling & Simulat, Inst Biotechnol & Environm Res, Wolfenbuttel, Germany
[2] Ostfalia Univ Appl Sci, Inst Energy Optimized Syst, Lab Elect Engn & Renewable Energy Technol, Wolfenbuttel, Germany
[3] Tech Univ Clausthal, Inst Software Syst Engn, Clausthal Zellerfeld, Germany
来源：
2018 5TH INTERNATIONAL SYMPOSIUM ON ENVIRONMENT-FRIENDLY ENERGIES AND APPLICATIONS (EFEA) | 2018年
关键词：
hybrid energy storage system; Markov Decision Process; efficiency; OPTIMIZATION;
D O I：
暂无
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
The intermittent nature of the renewable energy sources and the load and production mismatch have set the role of storage as substantial in the domestic field. In this paper a hybrid energy storage application is configured and examined. It is composed of a lead acid battery and a vanadium redox flow battery which are integrated in a residential installation with a photovoltaic facility. The present work aims at investigating the impact of the chosen management technique on the efficiency grades of the storage systems. The proposed control method which is designed according to the Markov Decision Process guarantees an optimal on-site produced energy allocation and consecutively a higher battery efficiency.
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页数：6
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