Analyses of Distributed Generation and Storage Effect on the Electricity Consumption Curve in the Smart Grid Context

Simona-Vasilica Oprea, Adela Bâra, Adina Ileana Uță, Alexandru Pîrjan and George Căruțașu
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Simona-Vasilica Oprea: Department of Economic Informatics and Cybernetics, Bucharest Academy of Economic Studies, Romana Square 6, Bucharest 010374, Romania
Adela Bâra: Department of Economic Informatics and Cybernetics, Bucharest Academy of Economic Studies, Romana Square 6, Bucharest 010374, Romania
Adina Ileana Uță: Department of Economic Informatics and Cybernetics, Bucharest Academy of Economic Studies, Romana Square 6, Bucharest 010374, Romania
Alexandru Pîrjan: Department of Informatics, Statistics and Mathematics, Romanian-American University, Expoziției 1B, Bucharest 012101, Romania
George Căruțașu: Department of Informatics, Statistics and Mathematics, Romanian-American University, Expoziției 1B, Bucharest 012101, Romania
Authors registered in the RePEc Author Service: George Căruţaşu ()

Sustainability, 2018, vol. 10, issue 7, 1-25

Abstract: The householders’ electricity consumption is about 20–30% of the total consumption that is a significant space for demand response. Mainly, the householders are becoming more and more active and interested in diminishing their expenses related to the electricity consumption, considering different rates of the advanced tariffs. Therefore, in the smart grid context, especially for prosumers with energy sources and storage devices (SD), the electricity consumption optimization becomes attractive since they obtain significant benefits. On the other hand, the electricity suppliers design appropriate tariffs in order to reduce the consumption peaks and avoid the occurrence of new peaks. Based on the effect of these tariffs on consumers’ behavior, the stress on generators decreases and the electricity suppliers improve the demand forecast and adjust their strategies on the market. In addition, the grid operators are interested in the minimization of the consumption peak that leads to loss reduction and avoidance of congestions that would ensure at least the delay of the onerous investment in grid capacities. In this paper, we will run several scenarios for electricity consumption optimization in the context of smart grid that includes: sensors, actuators, smart meters, advanced tariff schemes, smart appliances and electricity home control applications. Our goal is to analyze the effect of the Renewable Energy Systems (RES) distributed generation (such as photovoltaic panels—PV) and storage on the consumption curve. The results show that consumption optimization with RES distributed generation and SD brings sustainable development of the power systems and significant benefits from the consumption peak and savings point of view.

Keywords: distributed generation; storage device; MILP; ToU tariff; optimization; daily consumption curve; peak/off-peak; programmable appliances (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:10:y:2018:i:7:p:2264-:d:155577

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