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Electricity tariff systems for informatics system design regarding consumption optimization in smart grids

Simona Vasilica Oprea ()
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Simona Vasilica Oprea: University of Economic Studies, Bucharest, Romania

Database Systems Journal, 2016, vol. 6, issue 3, pages 11-18

Abstract: High volume of data is gathered via sensors and recorded by smart meters. These data are processed at the electricity consumer and grid operators' side by big data analytics. Electricity consumption optimization offers multiple advantages for both consumers and grid operators. At the electricity customer level, by optimizing electricity consumption savings are significant, but the main benefits will come from indirect aspects such as avoiding onerous grid investments, higher volume of renewable energy sources' integration, less polluted environment etc. In order to optimize electricity consumption, advanced tariff systems are essential due to the financial incentive they provide for electricity consumers' behaviour change. In this paper several advanced tariff systems are described in details. These systems are applied in England, Spain, Italy, France, Norway and Germany. These systems are compared from characteristics, advantages/disadvantages point of view. Then, different tariff systems applied in Romania are presented. Romanian tariff systems have been designed for various electricity consumers' types. Different tariff systems applied by grid operators or electricity supplierswill be includedin the database model that is part of an informatics system for electricity consumption optimization.

Keywords: Time of use tariff; critical peak pricing tariff; real time pricing tariff systems; sensors; smart-metering (search for similar items in EconPapers)
Date: 2016
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Persistent link: http://EconPapers.repec.org/RePEc:aes:dbjour:v:6:y:2016:i:3:p:11-18

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