Evolution of electrical distribution grid sizing considering self-consumption of local renewable production

Rogeau, Antoine; Barbier, Thibaut; Girard, Robin; Kong, Nicolas

doi:10.1049/oap-cired.2017.1248

Cited by 6 publications

(6 citation statements)

References 6 publications

(8 reference statements)

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“…The wind was one of the potential energy sources in that experiment. Researchers often study the effects of combining solar PV and wind energy production on a microgrid operation [12,13]. Increasing self-consumption stabilises load peaks and decreases costs on the electrical energy purchase [14].…”

Section: Overview Of Literaturementioning

confidence: 99%

“…In Spain, different energy generation systems based on solar PV are competitive and profitable without subsidies in self-consumption schemes [28]. In fact, the setting up of distributed generation, when exploited in a self-sufficiency manner, may decrease the utilisation peaks [29]. Scientists and experts demonstrated that this kind of arrangement might enhance a microgrid's resilience and improve the level of self-consumption whilst decreasing the grid loads, which means being cost-effective up to 60% of self-consumption [30].…”

Section: Overview Of Literaturementioning

confidence: 99%

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Modelling of Consumption Shares for Small Wind Energy Prosumers

et al. 2021

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This article describes a simulation of energy distribution in an average household where electricity is produced with a small wind generator or purchased from the public electricity grid. Numerical experiments conducted within an average of five minutes were performed using annual production and consumption graphs. Virtual storage devices, a water tank and a battery were used to buffer energy inside the household. The energy required for non-shiftable consumption and hot water consumption were taken directly from the utility grid. Surplus energy remaining from wind generator production after providing for consumption and storage needs were redirected there. A cover factor was used as a measure of the efficiency of energy distribution. One of the aims of the article was to determine by simulations the change of the cover factor in a virtually designed situation where the expected energy output of the wind generator was known in advance over one to three hours. The results found that for the configuration of the proposed nanogrid option, the positive results were readily achieved when the expected wind generator production was known an hour ahead. Then, the cover factor increased from 0.593 to 0.645. The side result of using projected/expected production is an increase in asymmetrical energy exchanges bilaterally between nanogrid and utility grid in favour of grid sales. Another finding was that the cover factor depended on the wind generator’s production intensity but less on the intensity of consumption within the household.It is hoped/expected that future research will address the prediction of output using mathematical methods.

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Section: Overview Of Literaturementioning

confidence: 99%

Section: Overview Of Literaturementioning

confidence: 99%

Modelling of Consumption Shares for Small Wind Energy Prosumers

et al. 2021

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“…This model is particularly useful to simulated diffuse production before the calibration of the electric load curve simulator. It is also of a great interest to test different local renewable production penetration rates and its influence on electrical grid sizing [3].…”

Section: Production Load Curve Simulationmentioning

confidence: 99%

Long-term forecast of local electrical demand and evaluation of future impacts on the electricity distribution network

Kong¹,

Bocquel²,

Barbier

et al. 2017

CIRED - Open Access Proceedings Journal

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Enedis (France's main electricity DSO) and Mines Paris Tech are working on a new method called MOSAIC that aims at assessing the impact of long term local development projects on the electrical grid. The MOSAIC method uses a bottom-up simulation tool able to determine the current and future consumption and production load curve of an area. The consumption and production simulators are based on a multi-level data model that makes it possible to run a simulation even if some data are missing. The simulation parameters are calibrated by comparing the simulated load curves with observations on MV feeders (for the consumption simulator) and on 100 renewable energy producers (PV and WP). Once the simulators are calibrated for the current situation, the load curve of each development scenario of the area is estimated (the evolution scenarios are proposed by the local government, based on infeed growing, building projects …). Enedis and Mines Paris Tech are now working on linking the load curve simulators with more traditional electrical study tools. From the simulated load curve, we estimate the most likely maximal power of the grid infrastructures and use these values in the load flow tool called ERABLE to evaluate the impact of the scenarios on the grid. Initial tests were successful and this method will be further developed in 2017 on ten experimentation projects in France. Each project will help to develop new functionalities such as integrating Demand Response or electrical vehicle infrastructures.

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“…Households require power supplies from the largest possible number of renewable sources to reduce payoff times [2,30]. Increasing self-consumption not only levels load peaks [31] but also decreases costs on the electrical energy import to an economically feasible point of 60% self-consumption level [32].…”

Section: Introductionmentioning

confidence: 99%

Simulation of Energy Exchange between Single Prosumer Residential Building and Utility Grid

et al. 2021

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Modern households usually have independent energy sources such as wind generators, photovoltaic (PV) panels, and similar green energy production equipment. Experts predict that soon, there will be an increasing number of such prosumers who both produce and consume energy. This process alleviates and reduces the load on large national electricity networks and also contributes to overall energy security. In this paper, a simulation model of a household, which employs a wind generator as its independent source of electricity, is developed. It is expected that this approach will be easily replicated for more complex configurations. The other components of the single prosumer microgrid that will be assessed are the non-shiftable electricity consumption equipment, which is used mainly in households and deployed separately for water heater, with a separate battery to meet the needs of these non-shiftable consumers. The 5-min data intervals for the year of simulation have been used. The characteristics of energy flow according to production and consumption schedules and the capacity of storage equipment have been modelled and simulated. Results disclose that wind turbine production size and buffer battery have a crucial impact on the demand cover factor.

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Evolution of electrical distribution grid sizing considering self-consumption of local renewable production

Cited by 6 publications

References 6 publications

Modelling of Consumption Shares for Small Wind Energy Prosumers

Modelling of Consumption Shares for Small Wind Energy Prosumers

Long-term forecast of local electrical demand and evaluation of future impacts on the electricity distribution network

Simulation of Energy Exchange between Single Prosumer Residential Building and Utility Grid

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