Heuristic strategy for smart charging of Plug-In Electric Vehicle in residential areas: Variable charge power

Türker, Harun; Pirsan, Vanina; Bacha, Seddik; Frey, David; Richer, J.; Lebrusq, P.

doi:10.1109/icrera.2014.7016524

Cited by 5 publications

(6 citation statements)

References 18 publications

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“…Therefore, due to technical potentials [40] and promising practices [41] of smart charging, V1G seems today to be ahead in the competition with V2G and it is preparing to become the most popular technology for coordinating the charging of a multitude of electric vehicles. The lack of coordination can cause the overloading of distribution transformers at substations or the voltage deviation at buses of distribution network [42]; in this sense, V1G may reduce the demand of chargers in commercial and industrial hosts in real time [43], according to centralized and decentralized smart-charging schemes [44] or heuristic approaches [45].…”

Section: Smart Chargingmentioning

confidence: 99%

How Smart Metering and Smart Charging may Help a Local Energy Community in Collective Self-Consumption in Presence of Electric Vehicles

et al. 2020

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The 2018/2001/EU renewable energy directive (RED II) underlined the strategic role of energy communities in the EU transition process towards sustainable and renewable energy. In line with the path traced by RED II, this paper proposes a solution that may help local energy communities in increasing self-consumption. The proposed solution is based on the combination of smart metering and smart charging. A set of smart meters returns the profile of each member of the community with a time resolution of 5 s; the aggregator calculates the community profile and regulates the charging of electric vehicles accordingly. An experimental test is performed on a local community composed of four users, where the first is a consumer with a Nissan Leaf, whereas the remaining three users are prosumers with a photovoltaic generator mounted on the roof of their home. The results of the experimental test show the feasibility of the proposed solution and demonstrate its effectiveness in increasing self-consumption. The paper also calculates the subsidy that the community under investigation would receive if the current Italian incentive policies for renewables were extended to local energy communities; this subsidy is discussed in comparison with the subsidies that the three prosumers individually receive thanks to the net metering mechanism. This paper ends with an economic analysis and calculation of savings on bills when the four users create the local energy community and adopt the proposed combination of smart metering and smart charging.

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Section: Smart Chargingmentioning

confidence: 99%

How Smart Metering and Smart Charging may Help a Local Energy Community in Collective Self-Consumption in Presence of Electric Vehicles

et al. 2020

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“…From the DSO point of view, the EVCS could be seen as a flexible load. Indeed, the charging stations can not only withdraw energy from the grid, as is pretty much common today, but they will be able to inject power, as is shown in many pilot projects, with so-called Vehicle to Grid (V2G) technology [13][14][15][16][17][18][19][20][21]. In this framework, an assumption for simulations is to consider that 25% of the batteries are not accessible, because they need to be charged.…”

Section: Assumptions For Simulationsmentioning

confidence: 99%

“…Some paper are dedicated only to the impacts and possible management solution for the RES-based DG on the distribution grids [8][9][10][11]. Others are related only to the influence and possible control strategies of EVCS, in distribution grids, according to a Vehicle-to-Grid approach, in reference to a smart grid environment [11][12][13][14][15][16][17][18][19][20][21]. Other papers are dedicated to analyze the combination of the effect of the two (DG and EVCS) and of their suitable management in the distribution grids operation and planning [22][23][24][25].…”

Section: Introductionmentioning

confidence: 99%

New Dispatching Paradigm in Power Systems Including EV Charging Stations and Dispersed Generation: A Real Test Case

et al. 2020

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Electric Vehicles (EVs) are becoming one of the main answers to the decarbonization of the transport sector and Renewable Energy Sources (RES) to the decarbonization of the electricity production sector. Nevertheless, their impact on the electric grids cannot be neglected. New paradigms for the management of the grids where they are connected, which are typically distribution grids in Medium Voltage (MV) and Low Voltage (LV), are necessary. A reform of dispatching rules, including the management of distribution grids and the resources there connected, is in progress in Europe. In this paper, a new paradigm linked to the design of reform is proposed and then tested, in reference to a real distribution grid, operated by the main Italian Distribution System Operator (DSO), e-distribuzione. First, in reference to suitable future scenarios of spread of RES-based power plants and EVs charging stations (EVCS), using Power Flow (PF) models, a check of the operation of the distribution grid, in reference to the usual rules of management, is made. Second, a new dispatching model, involving DSO and the resources connected to its grids, is tested, using an Optimal Power Flow (OPF) algorithm. Results show that the new paradigm of dispatching can effectively be useful for preventing some operation problems of the distribution grids.

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“…To maximise the benefits of all participants in above EVs charging, a multiobjective problem (MOP) should be formulated. To solve MOP, various heuristic approaches were studied in the literature [33][34][35][36][37]. For example, applying NGSA-II algorithm [33] and artificial immune algorithm [37] could lead to a Pareto optimal set for a MOP.…”

Section: Demand-side Managementmentioning

confidence: 99%

“…There are a number of potential approaches for optimising the weights in order to equilibrate the conflicting interests such as NGSA-II [33] or various heuristic approaches utilised in [34][35][36]. However, this is not the focus of this study.…”

Section: Multi-objective Optimisation Problemmentioning

confidence: 99%

Dynamic charging of electric vehicles integrating renewable energy: a multi‐objective optimisation problem

2019

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Dynamically charging electric vehicles (EVs) have the potential to significantly reduce range anxiety and decrease the size of battery required for acceptable range. However, with the main driver for progressing EV technology being the reduction of carbon emissions, consideration of how a dynamic charging system would impact these emissions is required. This study presents a demand-side management method for allocating resources to charge EVs dynamically considering the integration of local renewable generation. A multi-objective optimisation problem is formulated to consider individual users, an energy retailer and a regulator as players with conflicting interests. A 19% reduction in the energy drawn from the power grid is observed over the course of a 24 h period when compared with a first-come-first-served allocation method. This results in a greater reduction in CO 2 emissions of 22% by considering the power grid's make-up at each time interval. Furthermore, a 42% reduction in CO 2 emissions is achieved compared to a system without local renewable energy integration. By varying the weights assigned to the players' goals, the method can reduce overall demand at peak times and produce a smoother demand profile. System fairness is shown to improve with an average Gini coefficient reduction of 4.32%.

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Heuristic strategy for smart charging of Plug-In Electric Vehicle in residential areas: Variable charge power

Cited by 5 publications

References 18 publications

How Smart Metering and Smart Charging may Help a Local Energy Community in Collective Self-Consumption in Presence of Electric Vehicles

How Smart Metering and Smart Charging may Help a Local Energy Community in Collective Self-Consumption in Presence of Electric Vehicles

New Dispatching Paradigm in Power Systems Including EV Charging Stations and Dispersed Generation: A Real Test Case

Dynamic charging of electric vehicles integrating renewable energy: a multi‐objective optimisation problem

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