2017
DOI: 10.1049/oap-cired.2017.0757
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Seasonally variant deployment of electric battery storage systems in active distribution networks

Abstract: Due to the aging of network infrastructure, the increasing load demand in distribution networks together with the increased installation of PVs (Photovoltaic) in the MV and LV network, there is a need for network reinforcement. As load growth congests the grid, the strategic placement of electric storage systems can be an alternative to or contribute to a deferral of grid investments. To study this, an optimization problem solving the dual-purpose deployment of prosumers' level battery storage system has been … Show more

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Cited by 5 publications
(4 citation statements)
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“…A. Future Trends and Impact of EVs According to smart meter measurement data of about 100 households from 2007 to 2015, the kWh/hour consumption of an average hour of an average household has been increasing by 0.03846 kWh/hour [15]. This is illustrated in Fig.…”
Section: The Impact Of Evs In LV Networkmentioning
confidence: 99%
“…A. Future Trends and Impact of EVs According to smart meter measurement data of about 100 households from 2007 to 2015, the kWh/hour consumption of an average hour of an average household has been increasing by 0.03846 kWh/hour [15]. This is illustrated in Fig.…”
Section: The Impact Of Evs In LV Networkmentioning
confidence: 99%
“…Another relevant example is the FlexNett project1 F 2 which focused on flexibility in the future smart distribution grid and included several case studies. The case "Prosumers in neighbourhoods/ regions with different locations of batteries" [9,10] developed scenarios for the benefits with different locations of BESS, such as household level (prosumers, small scale distributed), community owned (medium scale) and grid company owned at MV/LV substation level (large scale). These BESS solutions were evaluated as an alternative to grid reinvestments and investigated for their impact on both the distribution grid (peak load) and self-consumption.…”
Section: Use Of Bess For Grid Applicationsmentioning
confidence: 99%
“…The first case study in this paper focuses on a prosumer located in Central Norway. The data used is the hourly values for a typical residential customer (calculated from 100 residential customer) and hourly values for a PV model, based on solar irradiance for the specific area [8]. The calculations are performed for 2015.…”
Section: Alternatives For Distribution Grid Tariffsmentioning
confidence: 99%