Community energy storage: A case study in the UK using a linear programming method

被引：28

作者：

Pimm, Andrew J. ^{[1
]}

Palczewski, Jan ^{[2
]}

Morris, Robin ^{[3
,4
]}

Cockerill, Tim T. ^{[1
,5
]}

Taylor, Peter G. ^{[1
,6
]}

机构：

[1] Univ Leeds, Sch Chem & Proc Engn, Low Carbon Energy Res Grp, Leeds LS2 9JT, W Yorkshire, England

[2] Univ Leeds, Sch Math, Leeds LS2 9JT, W Yorkshire, England

[3] Crickhowell Resource & Informat Ctr, Energy Local, Beaufort St, Crickhowell NP8 1BN, Powys, England

[4] Univ Oxford, Dept Mat, Parks Rd, Oxford OX1 3PH, England

[5] Univ Leeds, Sch Mech Engn, Leeds LS2 9JT, W Yorkshire, England

[6] Univ Leeds, Sch Earth & Environm, Sustainabil Res Inst, Leeds LS2 9JT, W Yorkshire, England

来源：

ENERGY CONVERSION AND MANAGEMENT | 2020年 / 205卷

基金：

英国工程与自然科学研究理事会;

关键词：

Micro hydro; Battery storage; Scheduling; Linear programming; ELECTRICITY STORAGE; DISPATCH SCHEDULE; BATTERY STORAGE; SYSTEM; OPTIMIZATION; ARBITRAGE; CAPACITY; COST; UNIT; AIR;

D O I：

10.1016/j.enconman.2019.112388

中图分类号：

O414.1 [热力学];

学科分类号：

摘要：

In this paper, we investigate how energy storage can be used to increase the value of community energy schemes through cost reductions, infrastructure support, increased scheme membership, and reduced carbon emissions. A linear programming optimisation framework is developed to schedule the operation of behind-the-meter energy storage such that costs are minimised, while keeping peak demands within allowable limits. This is also extended to model generation-integrated energy storage systems, where the storage is located in the flow of energy from primary source (e.g. wind) to a usable form (e.g. electricity). To demonstrate the potential of energy storage within a real community energy scheme, we present a case study of a community hydro scheme in North Wales, considering both battery storage and a reservoir-based storage system. It is found that either system can be used to substantially increase the membership of the scheme while avoiding impacts on the electricity network, but that storage remains prohibitively expensive when used for self-consumption of renewables and arbitrage. We also investigate the impacts of energy storage on the community's carbon emissions, showing that storage operation appears to provide very little additional reduction in emissions when grid average emissions factors are used.

引用

页数：11

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