scholarly journals Multi-Voltage Level Active Distribution Network with Large Share of Weather-Dependent Generation

2021 ◽  
Author(s):  
Aeishwarya Baviskar ◽  
Kaushik Das ◽  
Matti Juhani Koivisto ◽  
Anca Daniela Hansen
Keyword(s):  
Network Model ◽  
Generation Time ◽  
Distribution Network ◽  
Distribution Grid ◽  
Large Share ◽  
Voltage Level ◽  
Active Distribution Network ◽  
Electric Vehicle Charging ◽  
Charging Stations ◽  
Real Network Data

<div>Utility-scale and small scale wind and solar power installations along with electric vehicle charging stations, and other active sources of energy are increasing at the medium and lower voltage levels in the distribution grid. This situation required a better understanding of the impact of high penetration of weather-dependent renewable energy sources on the operating conditions of the distribution network at both medium and low voltage levels. Despite the need, a multi-voltage level distribution network model, based on real network data and weather-dependent renewable generation data, has not been presented for distribution grid studies. This paper presents a comprehensive multi-voltage level active distribution network model based on real network data along with load and generation time-series for about a year. The network topology is modelled based on geographical data for various rural, semi-urban, and urban locations. The distribution network is embodied with a large share of renewable generation sources, with generation time-series simulated from meteorological data. The network is also flexible to incorporate other assets such as electric vehicle charging stations, storage, etc. Thus, the presented active distribution network model can be used to study, optimize, and control the effects of weather dependent generation and other network assets in the distribution grid.</div>

scholarly journals Multi-Voltage Level Active Distribution Network with Large Share of Weather-Dependent Generation

2021 ◽  
Author(s):  
Aeishwarya Baviskar ◽  
Kaushik Das ◽  
Matti Juhani Koivisto ◽  
Anca Daniela Hansen
Keyword(s):  
Network Model ◽  
Generation Time ◽  
Distribution Network ◽  
Distribution Grid ◽  
Large Share ◽  
Voltage Level ◽  
Active Distribution Network ◽  
Electric Vehicle Charging ◽  
Charging Stations ◽  
Real Network Data

<div>Utility-scale and small scale wind and solar power installations along with electric vehicle charging stations, and other active sources of energy are increasing at the medium and lower voltage levels in the distribution grid. This situation required a better understanding of the impact of high penetration of weather-dependent renewable energy sources on the operating conditions of the distribution network at both medium and low voltage levels. Despite the need, a multi-voltage level distribution network model, based on real network data and weather-dependent renewable generation data, has not been presented for distribution grid studies. This paper presents a comprehensive multi-voltage level active distribution network model based on real network data along with load and generation time-series for about a year. The network topology is modelled based on geographical data for various rural, semi-urban, and urban locations. The distribution network is embodied with a large share of renewable generation sources, with generation time-series simulated from meteorological data. The network is also flexible to incorporate other assets such as electric vehicle charging stations, storage, etc. Thus, the presented active distribution network model can be used to study, optimize, and control the effects of weather dependent generation and other network assets in the distribution grid.</div>

scholarly journals Optimal Placement of Electric Vehicle Charging Stations in the Active Distribution Network

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 68124-68134 ◽  
Author(s):  
Muhammad Zulqarnain Zeb ◽  
Kashif Imran ◽  
Abraiz Khattak ◽  
Abdul Kashif Janjua ◽  
Anamitra Pal ◽  
...  
Keyword(s):  
Electric Vehicle ◽  
Distribution Network ◽  
Optimal Placement ◽  
Active Distribution Network ◽  
Electric Vehicle Charging ◽  
Vehicle Charging ◽  
Charging Stations

scholarly journals Distribution Network Model Platform: A First Case Study

Energies ◽  
2019 ◽  
Vol 12 (21) ◽  
pp. 4079 ◽  
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.

Negative Impacts on the Smart Distribution Grid Caused by New Energy

2015 ◽  
Vol 1092-1093 ◽  
pp. 463-466
Author(s):  
Li Jun Qin ◽  
Wan Tao Yang
Keyword(s):  
Smart Grid ◽  
Electric Vehicle ◽  
Distribution Network ◽  
Distribution Grid ◽  
Electric Vehicle Charging ◽  
New Energy ◽  
Vehicle Charging ◽  
Smart Distribution Grid ◽  
Charging Stations ◽  
The Impact

The access problem of new energy is one of the core content of the smart grid. New energy such as wind, solar, electric vehicle charging stations have strong intermittent and fluctuations. Their technical performance is poor to access to the grid.They inject harmonics into grid and have other issues. This paper describes the impact on the distribution network after the wind, photovoltaic power generation, electric vehicle charging stations connected to the grid.It is hoped that you can build smart grid distribution model,research in-depth and analysis the combined effects of smart distribution grid after new energy sources accessed, to achieve the monitoring of the various components of the distribution network and the best combination for electricity.

scholarly journals Distribution Network Congestion Dispatch Considering Time-Spatial Diversion of Electric Vehicles Charging

Energies ◽  
2018 ◽  
Vol 11 (10) ◽  
pp. 2820 ◽  
Author(s):  
Hui Sun ◽  
Peng Yuan ◽  
Zhuoning Sun ◽  
Shubo Hu ◽  
Feixiang Peng ◽  
...  
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Distribution Network ◽  
Network Congestion ◽  
Charging Station ◽  
Electric Vehicle Charging ◽  
Large Numbers ◽  
Pricing Scheme ◽  
Multiple Charging ◽  
Charging Stations

With the popularization of electric vehicles, free charging behaviors of electric vehicle owners can lead to uncertainty about charging in both time and space. A time-spatial dispatching strategy for the distribution network guided by electric vehicle charging fees is proposed in this paper, which aims to solve the network congestion problem caused by the unrestrained and free charging behaviors of large numbers of electric vehicles. In this strategy, congestion severity of different lines is analyzed and the relationship between the congested lines and the charging stations is clarified. A price elastic matrix is introduced to reflect the degree of owners’ response to the charging prices. A pricing scheme for optimal real-time charging fees for multiple charging stations is designed according to the congestion severity of the lines and the charging power of the related charging stations. Charging price at different charging station at different time is different, it can influence the charging behaviors of vehicle owners. The simulation results confirmed that the proposed congestion dispatching strategy considers the earnings of the operators, charging cost to the owners and the satisfaction of the owners. Moreover, the strategy can influence owners to make judicious charging plans that help to solve congestion problems in the network and improve the safety and economy of the power grid.

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