A case study of coordinated electric vehicle charging for peak shaving on a low voltage grid

Leemput, Niels; Geth, Frederik; Claessens, Bert; Roy, Juan Van; Ponnette, R.; Driesen, Johan

doi:10.1109/isgteurope.2012.6465656

Cited by 36 publications

(17 citation statements)

References 15 publications

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“…Some approaches represent the flexibility very coarse as a given percentage of the energy demand that can be shifted [1], [8], [9]. Others lose valuable temporal information [10] or only consider one type of flexible device [11]- [14]. Still others are more economically oriented, representing flexibility by price elasticities.…”

Section: Introductionmentioning

confidence: 99%

Quantifying the flexibility of residential electricity demand in 2050: a bottom-up approach

Stiphout

Engels

Guldentops

2015

2015 IEEE Eindhoven PowerTech

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This work presents a new method to quantify the flexibility of automatic demand response, combined with real time pricing, applied to residential electricity demand using price elasticities. A stochastic bottom-up model of flexible electricity demand in 2050 is presented. Three types of flexible devices are implemented: electric heating, electric vehicles and wet appliances. Each house schedules its flexible demand w.r.t. a varying price signal, in order to minimize its electricity cost. Own-and cross-price elasticities are obtained through a regression analysis. Via a Monte Carlo approach-based method, the elasticities are scaled up to a country level. The results show that the electric energy demand will double and that, when combining automatic demand response with real time pricing, power peaks in demand could be incurred that are 5 to 8 times greater than today. The elasticity matrices show that for Belgium most flexibility is available in winter and least in summer.

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Section: Introductionmentioning

confidence: 99%

Quantifying the flexibility of residential electricity demand in 2050: a bottom-up approach

Stiphout

Engels

Guldentops

2015

2015 IEEE Eindhoven PowerTech

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“…Distribution grid peak shaving can be chosen as an optimization objective, to mitigate local load peaks in the distribution grid. This reduces the simultaneity of household and EV power demand, which positively impacts voltage deviations [20] and grid losses [21]. Voltage deviation reduction can also be considered as a coordination objective during times of excessive deviations [7].…”

Section: Slow Chargingmentioning

confidence: 99%

“…EV charging can be controlled locally to smoothen the power profile of the distribution system [7], e.g., distribution grid peak shaving as explicit objective [20][21][22], or as a constraint in cost-minimizing coordination strategies [23,24]. Distribution grid peak shaving can be chosen as an optimization objective, to mitigate local load peaks in the distribution grid.…”

Section: Slow Chargingmentioning

confidence: 99%

MV and LV Residential Grid Impact of Combined Slow and Fast Charging of Electric Vehicles

et al. 2015

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This article investigates the combined low voltage (LV) and medium voltage (MV) residential grid impact for slow and fast electric vehicle (EV) charging, for an increasing local penetration rate and for different residential slow charging strategies. A realistic case study for a Flemish urban distribution grid is used, for which three residential slow charging strategies are modeled: uncoordinated charging, residential off-peak charging, and EV-based peak shaving. For each slow charging strategy, the EV hosting capacity is determined, with and without the possibility of fast charging, while keeping the grid within its operating limits. The results show that the distribution grid impact is much less sensitive to the presence of fast charging compared to the slow charging strategy. EV-based peak shaving results in the lowest grid impact, allowing for the highest EV hosting capacity. Residential off-peak charging has the highest grid impact, due the load synchronization effect that occurs, resulting in the lowest EV hosting capacity. Therefore, the EV users should be incentivized to charge their EVs in a more grid-friendly OPEN ACCESSEnergies 2015, 8 1761 manner when the local EV penetration rate becomes significant, as this increases the EV hosting capacity much more than the presence of fast charging decreases it.

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“…A more local incentive for residential buildings could arise from limitations of the electricity distribution grid. This could pose extra demand response incentives on this scale, in order to limit the stress on the distribution grid [23]. In a commercial building context, the magnitude of the electricity demand could be large enough such that direct interaction with the electricity system (on the generation and transmission level) is possible, for example for providing ancillary services [24].…”

Section: What Is the Right Scale In Thinking About A Smart Grid As Itmentioning

confidence: 99%

Ten questions concerning integrating smart buildings into the smart grid

Lawrence

Boudreau

Helsen

et al. 2016

Building and Environment

116

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Recent advances in information and communications technology (ICT) have initiated development of a smart electrical grid and smart buildings. Buildings consume a large portion of the total electricity production worldwide, and to fully develop a smart grid they must be integrated with that grid. Buildings can now be 'prosumers' on the grid (both producers and consumers), and the continued growth of distributed renewable energy generation is raising new challenges in terms of grid stability over various time scales. Buildings can contribute to grid stability by managing their overall electrical demand in response to current conditions. Facility managers must balance demand response requests by grid operators with energy needed to maintain smooth building operations. For example, maintaining thermal comfort within an occupied building requires energy and, thus an optimized solution balancing energy use with indoor environmental quality (adequate thermal comfort, lighting, etc.) is needed. Successful integration of buildings and their systems with the grid also requires interoperable data exchange. However, the adoption and integration of newer control and communication technologies into buildings can be problematic with older legacy HVAC and building control systems. Public policy and economic structures have not kept up with the technical developments that have given rise to the budding smart grid, and further developments are needed in both technical and nontechnical areas.

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A case study of coordinated electric vehicle charging for peak shaving on a low voltage grid

Cited by 36 publications

References 15 publications

Quantifying the flexibility of residential electricity demand in 2050: a bottom-up approach

Quantifying the flexibility of residential electricity demand in 2050: a bottom-up approach

MV and LV Residential Grid Impact of Combined Slow and Fast Charging of Electric Vehicles

Ten questions concerning integrating smart buildings into the smart grid

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