Interaction of consumers, photovoltaic systems and electric vehicle energy demand in a Reference Network Model

Flammini, Marco Giacomo; Prettico, Giuseppe; Fulli, Gianluca; Bompard, Ettore; Chicco, Gianfranco

doi:10.23919/eeta.2017.7993230

Cited by 9 publications

(5 citation statements)

References 13 publications

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“…Moreover, groups of prosumers are able to communicate and provide greater stability at the LV level without significant investment in these networks. Furthermore, LV MGs commonly combine renewable energy sources [33], PV installations [34,35], electric vehicle charging [36,37], and hybrid storage systems [38], aiming to provide auxiliary services for local LV networks [39,40]. Recently, multi-microgrid systems provide additional reliability of distribution systems and enhance system resiliency under contingencies [41].…”

Section: Low-voltage Microgridsmentioning

confidence: 99%

A Review of Low-Voltage Renewable Microgrids: Generation Forecasting and Demand-Side Management Strategies

et al. 2021

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It is expected that distribution power systems will soon be able to connect a variety of microgrids from residential, commercial, and industrial users, and thus integrate a variety of distributed generation technologies, mainly renewable energy sources to supply their demands. Indeed, some authors affirm that distribution networks will propose significant changes as a consequence of this massive integration of microgrids at the distribution level. Under this scenario, the control of distributed generation inverters, demand management systems, renewable resource forecasting, and demand predictions will allow better integration of such microgrid clusters to decongest power systems. This paper presents a review of microgrids connected at distribution networks and the solutions that facilitate their integration into such distribution network level, such as demand management systems, renewable resource forecasting, and demand predictions. Recent contributions focused on the application of microgrids in Low-Voltage distribution networks are also analyzed and reviewed in detail. In addition, this paper provides a critical review of the most relevant challenges currently facing electrical distribution networks, with an explicit focus on the massive interconnection of electrical microgrids and the future with relevant renewable energy source integration.

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Section: Low-voltage Microgridsmentioning

confidence: 99%

A Review of Low-Voltage Renewable Microgrids: Generation Forecasting and Demand-Side Management Strategies

et al. 2021

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“…The large-scale distribution networks are used in optimal power flow studies [56] as well as data-driven approaches to reconstruct medium-and low-voltage grid topologies from smart meter data [57]. The feeder type networks have been used to investigate the impact of electric vehicle recharging strategies in combination with high PV-penetration on the grid [58]. These test networks have also been used for single-phase real-time simulations testing the impact of distributed generation [59] as well as performance studies of power line communications [60] and quantitative assessing impacts of different PV sizing and deployment rates on grid congestion and voltage unbalance [61].…”

Section: European Representative Synthetic Distribution Test Networkmentioning

confidence: 99%

Test Grids for the Integration of RES—A Contribution for the European Context

Traupmann

Kienberger

2020

Energies

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A long-term sustainable energy transition can only be achieved by technological advancements and new approaches for efficiently integrating renewable energies into the overall energy system. Significantly increasing the share of renewable energy sources (RES) within the overall energy system requires appropriate network models of current transmission and distribution grids, which, as limiting factors of energy infrastructures, confine this share due to capacity constraints. However, especially regarding electrical network models, data (e.g., geographical data, load and generation profiles, etc.) is rarely available since it usually includes user-specific information and is, therefore, subject to data protection. Synthetically obtained electrical networks, on the other hand, may not be representative and may fail to replicate real grid structures due to the heterogeneous properties of currently operated networks. To account for this heterogeneity, this paper offers a contribution for the European electrical energy system and presents the development of four synthetic test networks at different voltage levels which are representative and include non-confidential time-series data. The test network development is based on an extensive literature research on a multitude of different network parameters for grids within the ENTSO-E (European Network of Transmission System Operators for Electricity) interconnected system in Europe. These parameters are then used to design the networks in NEPLAN®. Then, these networks are provided with load and generation profiles for enabling time-series calculations. To validate the representativeness of the test networks, a short-circuit analysis is conducted and the obtained results are compared to short-circuit parameters common for Austrian and German literature values as well as for value ranges for European ENTSO-E grids. The analysis shows that the presented test networks replicate European electrical network behavior accurately and can, therefore, be utilized for various application purposes to assess technological impacts on European ENTSO-E grids.

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“…The grid models used and the depth of the grid simulations vary greatly throughout literature. Many previous studies, such as [5,9,10], model the grid as a perfectly balanced three phase system. These approaches often omit the voltage unbalances which occur between the power lines in real-world systems resulting in lack of representativeness.…”

Section: Modeling Of Low Voltage Gridsmentioning

confidence: 99%

Optimized Integration of Electric Vehicles in Low Voltage Distribution Grids

et al. 2019

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All over the world the reduction of greenhouse gas (GHG) emissions, especially in the transportation sector, becomes more and more important. Electric vehicles will be one of the key factors to mitigate GHG emissions due to their higher efficiency in contrast to internal combustion engine vehicles. On the other hand, uncoordinated charging will put more strain on electrical distribution grids and possible congestions in the grid become more likely. In this paper, we analyze the impact of uncoordinated charging, as well as optimization-based coordination strategies on the voltage stability and phase unbalances of a representative European semi-urban low voltage grid. Therefore, we model the low voltage grid as a three-phase system and take realistic arrival and departure times of the electric vehicle fleet into account. Subsequently, we compare different coordinated charging strategies with regard to their optimization objectives, e.g., cost reduction or GHG emissions reduction. Results show that possible congestion problems can be solved by coordinated charging. Additionally, depending on the objective, the costs can be reduced by more than 50% and the GHG emissions by around 40%.

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Interaction of consumers, photovoltaic systems and electric vehicle energy demand in a Reference Network Model

Cited by 9 publications

References 13 publications

A Review of Low-Voltage Renewable Microgrids: Generation Forecasting and Demand-Side Management Strategies

A Review of Low-Voltage Renewable Microgrids: Generation Forecasting and Demand-Side Management Strategies

Test Grids for the Integration of RES—A Contribution for the European Context

Optimized Integration of Electric Vehicles in Low Voltage Distribution Grids

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