Industrial and Commercial Electricity Cost Reduction Optimization Plan Using Cloud Energy Storage Service

Renjun ZHOU , Lulu JIANG , Xianxiang WU , Pan WU , Jian XU , Jiangsheng ZHU

›› 2020, Vol. 14 ›› Issue (6) : 33 -39.

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›› 2020, Vol. 14 ›› Issue (6) : 33 -39. DOI: 10.13648/j.cnki.issn1674-0629.2020.06.005
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Industrial and Commercial Electricity Cost Reduction Optimization Plan Using Cloud Energy Storage Service

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Abstract

In order to meet the urgent needs of the current government, industry and commerce for power-saving expenses, and deepen the potential of the existing policy, this paper comprehensively uses distributed energy storage and centralized energy storage for industrial and commercial users, provides flexible and economical cloud storage and rental services based on analysis on the current peak-to-valley price policy in China. Considering the scale economies of cloud storage, cloud energy storage leasing schemes that consider peak and valley electricity prices are developed. Taking the lowest total cost of electricity for industrial and commercial users as the objective function, the power balance, the interaction limit with the main network and the limitation of cloud energy storage equipment are used as constraints to optimize the storage capacity and power of the leased cloud and the economics of the schemes are furtherly analyzed. The results of the example show that the introduction of cloud energy storage service for industrial and commercial users can effectively reduce the total cost of electricity consumption; the hybrid mode of energy type and power type energy storage is more economical than the single mode. The cloud energy storage service and its corresponding leasing modes will have broad prospects in the application of industrial and commercial users responding to the city, urban area and the Internet through the development of electric energy storage technology.

Keywords

industry and commerce / electric power market / reduction potential / lease scheme / cloud energy storage / peak-to-valley electricity price

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Renjun ZHOU,Lulu JIANG,Xianxiang WU,Pan WU,Jian XU,Jiangsheng ZHU. Industrial and Commercial Electricity Cost Reduction Optimization Plan Using Cloud Energy Storage Service. 2020, 14(6): 33-39 DOI:10.13648/j.cnki.issn1674-0629.2020.06.005

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National Natural Science Foundation of China(71331001)

National Natural Science Foundation of China(91746118)

Hunan Provincial Natural Science Foundation of China(2019JJ40302)

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