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A Stochastic Optimization Method for Energy Storage Sizing Based on an Expected Value Model

Authors: Delong Zhang; Jianlin Li; Xueqin Liu; Jianbo Guo; Shaohua Xu;

A Stochastic Optimization Method for Energy Storage Sizing Based on an Expected Value Model

Abstract

Energy storage technologies have been rapidly evolving in recent years. Energy storage plays different roles in various scenarios. For electricity consumers, they are concerned with how to use the energy storage system (ESS) to reduce their costs of electricity or increase their profits. In this paper, a stochastic optimization method for energy storage sizing based on an expected value model for consumers with Photovoltaic Generation (PV) is proposed. Firstly, the Gaussian mixture model clustering method is used to cluster the historical load and PV data and calculate the probability of each cluster. Secondly, the optimal model of total system profit is established. Finally, according to the expected value model, the optimal ESS power and capacity are determined. Two case studies are used to demonstrate the calculation of optimal ESS capacity. The results obtained by the method proposed in this paper are compared with the results produced by the deterministic method. Through the analysis and comparison, the validity and superiority of the method proposed in this paper are verified. The profits obtained by the method proposed in this paper are 0.87% to 127.16% more than the deterministic method.

Country
United Kingdom
Keywords

/dk/atira/pure/subjectarea/asjc/2100/2105, Technology, Control and Optimization, 330, /dk/atira/pure/subjectarea/asjc/2600/2606; name=Control and Optimization, /dk/atira/pure/subjectarea/asjc/2600/2606, Energy storage system, name=Energy Engineering and Power Technology, /dk/atira/pure/subjectarea/asjc/2200/2208, Stochastic optimization, energy storage system, Energy Engineering and Power Technology, name=SDG 7 - Affordable and Clean Energy, /dk/atira/pure/subjectarea/asjc/2100/2105; name=Renewable Energy, Sustainability and the Environment, name=Control and Optimization, /dk/atira/pure/sustainabledevelopmentgoals/affordable_and_clean_energy; name=SDG 7 - Affordable and Clean Energy, name=Renewable Energy, expected value model, name=Energy (miscellaneous), Renewable Energy, SDG 7 - Affordable and Clean Energy, Electrical and Electronic Engineering, /dk/atira/pure/subjectarea/asjc/2100/2101, /dk/atira/pure/subjectarea/asjc/2100/2102, /dk/atira/pure/sustainabledevelopmentgoals/affordable_and_clean_energy, Sustainability and the Environment, T, Consumer side, Expected value model, consumer side, name=Electrical and Electronic Engineering, stochastic optimization, /dk/atira/pure/subjectarea/asjc/2100/2101; name=Energy (miscellaneous), 620, /dk/atira/pure/subjectarea/asjc/2200/2208; name=Electrical and Electronic Engineering, Energy (miscellaneous), /dk/atira/pure/subjectarea/asjc/2100/2102; name=Energy Engineering and Power Technology

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    8
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Top 10%
Average
Top 10%
Green
gold