气候变化领域集成服务门户(CCPortal): Multi-objective optimization of energy arbitrage in community energy storage systems using different battery technologies

CCPortal

DOI	10.1016/j.apenergy.2019.01.227
	Multi-objective optimization of energy arbitrage in community energy storage systems using different battery technologies
	Terlouw T.; AlSkaif T.; Bauer C.; van Sark W.
发表日期	2019
ISSN	3062619
起始页码	356
结束页码	372
卷号	239
英文摘要	The power system requires an additional amount of flexibility to process the large-scale integration of renewable energy sources. Community Energy Storage (CES) is one of the solutions to offer flexibility. In this paper two scenarios of CES ownership are proposed. Firstly, an Energy Arbitrage (EA) scenario is studied where an aggregator aims to minimize costs and CO2-emissions of an energy portfolio. Secondly, an Energy Arbitrage - Peak Shaving (EA-PS) scenario is assessed, which is based on a shared ownership between a Distribution System Operator (DSO) and an aggregator. A multi-objective Mixed Integer Linear Programming (MILP) optimization model is developed to minimize the operation costs and CO2-emissions of a community situated in Cernier (Switzerland), using different battery technologies in the CES system. The results demonstrate a profitable system design for all Lithium-ion-Batteries (LiBs) and the Vanadium Redox Flow Battery (VRFB), for both the EA and EA-PS scenarios. The economic and environmental performance of the EA-PS scenario is slightly worse compared to the EA scenario, due to power boundaries on grid absorption and injection to achieve peak shaving. Overall, the differences between the EA and EA-PS scenarios, in economic and environmental performance, are small. Therefore, the EA-PS is recommended to prevent problematic loads on the distribution transformer. In addition, the Pareto frontiers demonstrate that LiBs perform best on both economic and environmental performance, with the best economic and environmental performance for the Lithium-Nickel-Manganese-Cobalt (NMC-C) battery. The Author(s)
英文关键词	Battery technologies; Community energy storage; Energy arbitrage; Multi-objective optimization; Peak shaving
scopus关键词	Carbon dioxide; Digital instruments; Electric power system economics; Electric transformers; Energy storage; Environmental management; Financial markets; Flow batteries; Integer programming; Lithium-ion batteries; Renewable energy resources; Battery technology; Community energy; Community energy storages (CES); Economic and environmental performance; Energy arbitrages; Mixed-integer linear programming; Peak shaving; Vanadium redox flow batteries; Multiobjective optimization; alternative energy; carbon emission; economic conditions; energy resource; energy storage; equipment; optimization; technological change; Switzerland
来源期刊	Applied Energy
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/176457
作者单位	Copernicus Institute of Sustainable Development, Utrecht University, Princetonlaan 8a, Utrecht, CB 3584, Netherlands; Paul Scherrer Institute, Laboratory for Energy Systems Analysis, Villigen PSI, 5232, Switzerland
推荐引用方式 GB/T 7714	Terlouw T.,AlSkaif T.,Bauer C.,et al. Multi-objective optimization of energy arbitrage in community energy storage systems using different battery technologies[J],2019,239.
APA	Terlouw T.,AlSkaif T.,Bauer C.,&van Sark W..(2019).Multi-objective optimization of energy arbitrage in community energy storage systems using different battery technologies.Applied Energy,239.
MLA	Terlouw T.,et al."Multi-objective optimization of energy arbitrage in community energy storage systems using different battery technologies".Applied Energy 239(2019).