Active Distribution System Reinforcement Planning With EV Charging Stations–Part II: Numerical Results

Electric Vehicles (EVs) are becoming a viable transportation option because they are environmentally friendly and provide solutions to high oil prices. This paper investigates the impacts of electric vehicles on harmonic distortions in urban radial residential distribution systems. The accomplishment of EV innovation relies on the accessibility of EV charging stations. To meet the power demand of growing EVs, utilities are introducing EV charging stations in private and public areas; this led to a change in the residential distribution system infrastructure. In this paper, an urban radial residential distribution system with the integration of an electric vehicle charging facility is considered for investigation. An impact of different EV penetration levels on voltage distortion is analysed. Different penetration levels of EVs into the residential distribution system are considered. Simulation results are presented to validate the work carried out in this paper. An attempt has been made to establish the relationship between the level of penetration of the EVs and voltage distortion in terms of THD (Total Harmonic Distortion)

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Proposed Power Systems Planning in Indian Scenario for Integrating EV Charging Infrastructure

10.4018/978-1-7998-6858-3.ch002 ◽

2022 ◽

pp. 25-37

Author(s):

Sanchari Deb ◽

Sulabh Sachan

Keyword(s):

Power Systems ◽

Distribution System ◽

Combustion Engine ◽

Standard Test ◽

Charging Infrastructure ◽

Reliability Indices ◽

Charging Station ◽

Working Parameters ◽

Charging Stations ◽

Ev Charging

The growing concern about fossil energy exhaustion, air pollution, and ecological deprivation has made electric vehicles (EVs) a practical option in contrast to combustion engine-driven vehicles. In any case, driving extent uneasiness is one of the innate inadequacies related with EVs. Massive integration of EV charging load into the power system may be a threat to the distribution network. Spontaneous situation of charging stations in the distribution system and uncoordinated charging will augment the load demand thereby resulting in voltage instability, deterioration of reliability indices, harmonic distortions, and escalated power losses. This chapter will concentrate on breaking down the effect of EV chargers on the working parameters, for example, voltage dependability, unwavering quality, and force misfortune. The examination will be completed on standard test systems. The discoveries of the proposed part will evaluate the effect of EV charging load on the working parameters of the distribution system and help in proposing a framework for charging station planning.

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EV Charging in Case of Limited Power Resource

Actuators ◽

10.3390/act10120325 ◽

2021 ◽

Vol 10 (12) ◽

pp. 325

Author(s):

Manan’Iarivo Louis Rasolonjanahary ◽

Chris Bingham ◽

Nigel Schofield ◽

Masoud Bazargan

Keyword(s):

Distribution System ◽

Energy Demand ◽

Diagonal Entry ◽

Peak Energy ◽

Multiple Charging ◽

Limited Power ◽

Line Overload ◽

The Cost ◽

Charging Stations ◽

Ev Charging

In the case of the widespread adoption of electric vehicles (EV), it is well known that their use and charging could affect the network distribution system, with possible repercussions including line overload and transformer saturation. In consequence, during periods of peak energy demand, the number of EVs that can be simultaneously charged, or their individual power consumption, should be controlled, particularly if the production of energy relies solely on renewable sources. This requires the adoption of adaptive and/or intelligent charging strategies. This paper focuses on public charging stations and proposes methods of attribution of charging priority based on the level of charge required and premiums. The proposed solution is based on model predictive control (MPC), which maintains total current/power within limits (which can change with time) and imparts real-time priority charge scheduling of multiple charging bays. The priority is defined in the diagonal entry of the quadratic form matrix of the cost function. In all simulations, the order of EV charging operation matched the attributed priorities for the cases of ten cars within the available power. If two or more EVs possess similar or equal diagonal entry values, then the car with the smallest battery capacitance starts to charge its battery first. The method is also shown to readily allow participation in Demand Side Response (DSR) schemes by reducing the current temporarily during the charging operation.

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Distribution Network Model Platform: A First Case Study

Energies ◽

10.3390/en12214079 ◽

2019 ◽

Vol 12 (21) ◽

pp. 4079 ◽

Cited By ~ 5

Author(s):

Grzanic ◽

Flammini ◽

Prettico

Keyword(s):

Network Model ◽

Distribution System ◽

Renewable Energy Sources ◽

Distribution Network ◽

Electricity Production ◽

Distribution Grid ◽

Area Of Interest ◽

First Case ◽

Charging Stations ◽

Ev Charging

Decarbonisation policies have recently seen an uncontrolled increase in local electricity production from renewable energy sources (RES) at distribution level. As a consequence, bidirectional power flows might cause high voltage/ medium voltage (HV/MV) transformers to overload. Additionally, not-well-planned installation of electric vehicle (EV) charging stations could provoke voltage deviations and cables overloading during peak times. To ensure secure and reliable distribution network operations, technology integration requires careful analysis which is based on realistic distribution grid models (DGM). Currently, however, only not geo-referenced synthetic grids are available inliterature. This fact unfortunately represents a big limitation. In order to overcome this knowledge gap, we developed a distribution network model (DiNeMo) web-platform aiming at reproducing the DGM of a given area of interest. DiNeMo is based on metrics and indicators collected from 99 unbundled distribution system operators (DSOs) in Europe. In this work we firstly perform a validation exercise on two DGMs of the city of Varaždin in Croatia. To this aim, a set of indicators from the DGMs and from the real networks are compared. The DGMs are later used for a power flow analysis which focuses on voltage fluctuations, line losses, and lines loading considering different levels of EV charging stations penetration.

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