Optimal Operation of a Residential Battery Energy Storage System in a Time-of-Use Pricing Environment

被引:1
|
作者
Galatsopoulos, Charalampos [1 ]
Papadopoulou, Simira [1 ,2 ]
Ziogou, Chrysovalantou [1 ]
Trigkas, Dimitris [1 ]
Voutetakis, Spyros [1 ]
机构
[1] Ctr Res & Technol Hellas CERTH, Chem Proc & Energy Resources Inst CPERI, POB 60361, Thessaloniki 57001, Greece
[2] Int Hellen Univ IHU, Dept Ind Engn & Management, Thessaloniki 57001, Greece
来源
APPLIED SCIENCES-BASEL | 2020年 / 10卷 / 17期
关键词
battery energy storage system; battery ageing estimation; energy management; dynamic optimization; LITHIUM-ION BATTERIES; TECHNOECONOMIC ANALYSIS; COST; PREDICTION; LIFETIME; MODEL;
D O I
10.3390/app10175997
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Premature ageing of lithium-ion battery energy storage systems (BESS) is a common problem in applications with or without renewable energy sources (RES) in the household sector. It can result to significant issues for such systems such as inability of the system to cover load demand for a long period of time. Consequently, the necessity of limiting the degradation effects at a BESS leads to the development and application of energy management strategies (EMS). In this work, EMSs are proposed in order to define optimal operation of a BESS without RES under time-of-use (ToU) tariff conditions. The objective of the developed EMSs is to reduce the capacity loss at the BESS in order to extend its lifetime expectancy and therefore increase the economic profit in the long-term. The EMSs utilize a widely used battery mathematical model which is experimentally validated for a specific BESS and a battery degradation mathematical model from the literature. Indicative simulation results of the proposed strategies are presented. The outcomes of these simulated scenarios illustrate that the objectives are achieved. The BESS operates efficiently by preventing premature ageing and ensuring higher economic profit at the long term.
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页数:21
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