Addressing Technology Uncertainties in Battery Energy Storage Sizing Procedures

被引：5

作者：

Carpinelli G. ^{[1
]}

Mottola F. ^{[1
]}

Proto D. ^{[1
]}

机构：

[1] Department of Electrical Engineering and Information Technology, University of Napoli Federico II, Via Claudio 21, Napoli

来源：

International Journal of Emerging Electric Power Systems | 2017年 / 18卷 / 02期

关键词：

battery energy systems; optimal sizing; time of use energy tariff; uncertainties;

D O I：

10.1515/ijeeps-2016-0199

中图分类号：

学科分类号：

摘要：

This paper analyzes the influence of technology uncertainties on the sizing of battery systems. The sizing is based on the minimization of the costs incurred by the end customer and is performed considering demand response applications in the frame of time of use tariffs. The randomness of i) battery round trip efficiency, ii) life time duration, iii) unit costs related to battery capacity, power conversion system, operation and maintenance and replacement is taken into account in order to identify the most convenient solution from an economic and technical point of view. Based on the load requests of actual industrial and residential loads, numerical applications have been performed. The results provided useful information regarding the influence uncertainties have in the choice of a battery energy storage system. © 2017 Walter de Gruyter GmbH, Berlin/Boston.

引用

共 37 条

[1]

Siano P., Demand response and smart grids-A survey, Renewable Sustainable Energy Rev, 30, pp. 461-478, (2014)

[2]

Nguyen M.Y., Nguyen D.M., A generalized formulation of demand response under market environments, Int J Emerg Electric Power Syst, 16, pp. 217-224, (2015)

[3]

Oudalov A., Cherkaoui R., Beguin A., Sizing and optimal operation of battery energy storage system for peak shaving application, 2007 IEEE Lausanne Power Tech, Lausanne, pp. 621-625, (2007)

[4]

Dusonchet L., Ippolito M.G., Telaretti E., Graditi G., Economic impact of medium-scale battery storage systems in presence of fllexible electricity tariffs for end-user applications, 9th International Conference On the European Energy Market Florence, pp. 1-5, (2012)

[5]

Ferruzzi G., Rossi F., Russo A., Determination of the prosumer's optimal bids, Int J Emerg Electric Power Syst, 16, 6, pp. 537-548, (2015)

[6]

Lee T.Y., Chen N., Determination of optimal contract capacities and optimal sizes of battery energy storage systems for time-of-use rates industrial customers, IEEE Trans Energy Convers, 15, 3, pp. 562-568, (1995)

[7]

Carpinelli G., Khormali S., Mottola F., Proto D., Optimal operation of electrical energy storage systems for industrial applications, IEEE Power and Energy Society General Meeting, (2013)

[8]

Aksanli B., Rosing T., Optimal battery configuration in a residential home with time-of-use pricing, IEEE SmartGridComm Symposium, (2013)

[9]

Carpinelli G., Mottola F., Proto D., Probabilistic sizing of battery energy storage when time-of-use pricing is applied, Electr Power Syst Res, 141, pp. 73-83, (2016)

[10]

Battke B., Schmidt T.S., Grosspietsch D., Hofmann V.H., A review and probabilistic model of lifecycle costs of stationary batteries in multiple applications, Renewable Sustainable Energy Rev, 25, pp. 240-250, (2013)

← 1 2 3 4 →