.png){kind=icon}
返回
Ageing and Efficiency Aware Battery Dispatch for Arbitrage Markets Using Mixed Integer Linear Programming
.png){kind=icon}
OA
AI
DOI：10.3390/en12060999.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
To achieve maximum profit by dispatching a battery storage system in an arbitrage operation, multiple factors must be considered. While revenue from the application is determined by the time variability of the electricity cost, the profit will be lowered by costs resulting from energy efficiency losses, as well as by battery degradation. In this paper, an optimal dispatch strategy is proposed for storage systems trading on energy arbitrage markets. The dispatch is based on a computationally-efficient implementation of a mixed-integer linear programming method, with a cost function that includes variable-energy conversion losses and a cycle-induced battery capacity fade. The parametrisation of these non-linear functions is backed by in-house laboratory tests. A detailed analysis of the proposed methods is given through case studies of different cost-inclusion scenarios, as well as battery investment-cost scenarios. An evaluation with a sample intraday market data set, collected throughout 2017 in Germany, offers a potential monthly revenue of up to 8762 EUR/MWhcap installed capacity, without accounting for the costs attributed to energy losses and battery degradation. While this is slightly above the revenue attainable in a reference application-namely, primary frequency regulation for the same sample month (7716 EUR/MWhcap installed capacity)-the situation changes if costs are considered: The optimisation reveals that losses in battery ageing and efficiency reduce the attainable profit by up to 36% for the most profitable arbitrage use case considered herein. The findings underline the significance of considering both ageing and efficiency in battery system dispatch optimisation.
Keyword:
efficiency
storage
battery ageing
arbitrage
market
optimisation
mixed-integer-linear-programming
piece-wise affine approximation
utility-scale
frequency regulation
primary control reserve
lithium-ion
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.2
论文数:
1.6W
被引数:
14.2W
机构
引用论文
Charge Distribution incDirection in Lamellar Graphite Acceptor Intercalation Compounds层状石墨受体插层化合物中 c 方向的电荷分布
PREAI
分享收藏Factoring the Cycle Aging Cost of Batteries Participating in Electricity Markets考虑电池参与电力市场的周期老化成本
PREAI
分享收藏Integration costs revisited - An economic framework for wind and solar variability重新考虑整合成本-风能和太阳能可变性的经济框架.png)
RENEWABLE ENERGYOAAI
RENEWABLE ENERGYIF9.1
OAAI分享收藏Evidence for an Alkalilike Conduction Band in Alkali Graphite Intercalation Compounds碱性石墨插层化合物中碱性导带的证据
PREAI
分享收藏Energy efficiency evaluation of a stationary lithium-ion battery container storage system via electro-thermal modeling and detailed component analysis通过电热建模和详细的成分分析对固定锂离子电池容器存储系统进行能效评估APPLIED ENERGYOAAI
APPLIED ENERGYIF11
OAAI分享收藏
查看更多内容