scholarly journals Assessment of the Impact of Electric Vehicles on the Design and Effectiveness of Electric Distribution Grid with Distributed Generation

2020 ◽  
Vol 10 (15) ◽  
pp. 5125 ◽  
Author(s):  
Enrico Mancini ◽  
Michela Longo ◽  
Wahiba Yaici ◽  
Dario Zaninelli
Keyword(s):  
Distributed Generation ◽  
Electric Vehicles ◽  
Distribution Networks ◽  
Distribution Grid ◽  
Heavy Load ◽  
Charging Station ◽  
Fast Charging ◽  
Probable Effect ◽  
The Impact ◽  
Near Future

The objective of this paper is to assess the probable effect that electric vehicles (EVs), already in wide circulation and likely to increase exponentially in the near future, will have on distribution networks. Analyses are conducted on the necessary interventions and evolutions that the distribution grid will have to undergo in order to manage this new and progressively increasing heavy load of energy. Thus, in order to understand the technical limitations of the current infrastructure and how transformers and lines will be able to withstand the increasing penetration of EVs, urban and rural grid models have been studied, to highlight the differences between the impacts on high- and low-density networks. In addition, an analysis of fast charging station impact has been carried out. MATLAB software was used to perform the simulations for the creation of scripts, which were then exploited within the DIgSILENT PowerFactory software. This allowed evaluation of the networks under examination and verification of the effectiveness of the proposed solutions. In concluding based on findings, some methods of managing the distribution network to optimise the network parameters analysed in the study and a solution involving electric vehicles are recommended.

scholarly journals A Novel Charging and Discharging Algorithm of Plug-in Hybrid Electric Vehicles Considering Vehicle-to-Grid and Photovoltaic Generation

2019 ◽  
Vol 10 (4) ◽  
pp. 61
Author(s):  
Ahmed Aljanad ◽  
Azah Mohamed ◽  
Tamer Khatib ◽  
Afida Ayob ◽  
Hussain Shareef
Keyword(s):  
Electric Vehicles ◽  
Control Algorithm ◽  
Peak Load ◽  
Distribution Networks ◽  
Management Control ◽  
Photovoltaic Generation ◽  
Technical Problems ◽  
Vehicle To Grid ◽  
Fast Charging ◽  
The Impact

Considering, the high penetration of plug-in electric vehicles (PHEVs), the charging and discharging of PHEVs may lead to technical problems on electricity distribution networks. Therefore, the management of PHEV charging and discharging needs to be addressed to coordinate the time of PHEVs so as to be charged or discharged. This paper presents a management control method called the charging and discharging control algorithm (CDCA) to determine when and which of the PHEVs can be activated to consume power from the grid or supply power back to grid through the vehicle-to-grid technology. The proposed control algorithm considers fast charging scenario and photovoltaic generation during peak load to mitigate the impact of the vehicles. One of the important parameters considered in the CDCA is the PHEV battery state of charge (SOC). To predict the PHEV battery SOC, a particle swarm optimization-based artificial neural network is developed. Results show that the proposed CDCA gives better performance as compared to the uncoordinated charging method of vehicles in terms of maintaining the bus voltage profile during fast charging.

scholarly journals Centralized Control of Distribution Networks with High Penetration of Renewable Energies

Energies ◽  
2021 ◽  
Vol 14 (14) ◽  
pp. 4283
Author(s):  
Francisco J. Zarco-Soto ◽  
Pedro J. Zarco-Periñán ◽  
Jose L. Martínez-Ramos
Keyword(s):  
Distributed Generation ◽  
Electric Vehicles ◽  
Renewable Energy Sources ◽  
Distribution Networks ◽  
Congestion Management ◽  
Renewable Energies ◽  
Centralized Control ◽  
High Penetration ◽  
Domestic Use ◽  
The Impact

Distribution networks were conceived to distribute the energy received from transmission and subtransmission to supply passive loads. This approach, however, is not valid anymore due to the presence of distributed generation, which is mainly based on renewable energies, and the increased number of plug-in electric vehicles that are connected at this voltage level for domestic use. In this paper the ongoing transition that distribution networks face is addressed. Whereas distributed renewable energy sources increase nodal voltages, electric vehicles result in demand surges higher than the load predictions considered when planning these networks, leading to congestion in distribution lines and transformers. Additionally, centralized control techniques are analyzed to reduce the impact of distributed generation and electric vehicles and increase their effective integration. A classification of the different methodologies applied to the problems of voltage control and congestion management is presented.

scholarly journals Improving PV Resilience by Dynamic Reconfiguration in Distribution Grids: Problem Complexity and Computation Requirements

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 830
Author(s):  
Filipe F. C. Silva ◽  
Pedro M. S. Carvalho ◽  
Luís A. F. M. Ferreira
Keyword(s):  
Distributed Generation ◽  
Optimal Solution ◽  
Dynamic Reconfiguration ◽  
Scheduling Problem ◽  
Low Carbon ◽  
Distribution Grid ◽  
Medium Voltage ◽  
Classical Computing ◽  
The Impact ◽  
Distribution Grids

The dissemination of low-carbon technologies, such as urban photovoltaic distributed generation, imposes new challenges to the operation of distribution grids. Distributed generation may introduce significant net-load asymmetries between feeders in the course of the day, resulting in higher losses. The dynamic reconfiguration of the grid could mitigate daily losses and be used to minimize or defer the need for network reinforcement. Yet, dynamic reconfiguration has to be carried out in near real-time in order to make use of the most updated load and generation forecast, this way maximizing operational benefits. Given the need to quickly find and update reconfiguration decisions, the computational complexity of the underlying optimal scheduling problem is studied in this paper. The problem is formulated and the impact of sub-optimal solutions is illustrated using a real medium-voltage distribution grid operated under a heavy generation scenario. The complexity of the scheduling problem is discussed to conclude that its optimal solution is infeasible in practical terms if relying upon classical computing. Quantum computing is finally proposed as a way to handle this kind of problem in the future.

scholarly journals Modular Approach to Ultra-fast Charging Stations

2021 ◽  
Author(s):  
Carola Leone ◽  
Michela Longo
Keyword(s):  
Impact Analysis ◽  
Road Transport ◽  
Modular Approach ◽  
Long Distance ◽  
Charging Infrastructure ◽  
Charging Station ◽  
Fast Charging ◽  
Modular Architectures ◽  
The Impact ◽  
Fast Charging Station

AbstractRoad transport electrification is essential for meeting the European Union's goals of decarbonization and climate change. In this context, an Ultra-Fast Charging (UFC) system is deemed necessary to facilitate the massive penetration of Electric Vehicles (EVs) on the market; particularly as medium-long distance travels are concerned. Anyway, an ultra-fast charging infrastructure represents the most critical point as regards hardware technology, grid-related issues, and financial sustainability. Thus far, this paper presents an impact analysis of a fast-charging station on the grid in terms of power consumption, obtained by the Monte Carlo simulation. Simulation results show that it is not economical convenient size the assumed ultra-fast charging station for the maximum possible power also considering its high impact on the grid. In view of the results obtained from the impact analysis, the last part of the paper focuses on finding a method to reduce the power installed for the DC/DC stage while keeping the possibility for the electric vehicle to charge at their maximum power. To achieve this goal a modular approach is proposed. Finally, two different modular architectures are presented and compared. In both the solutions, the probability of having EVs charging at limited power is less than 5%.

scholarly journals To study the voltage stability limits of distributed generation using induction machine in distribution networks

2013 ◽  
Vol 16 (2) ◽  
pp. 43-53
Author(s):  
Chuong Trong Trinh ◽  
Anh Viet Truong ◽  
Tu Phan Vu
Keyword(s):  
Distributed Generation ◽  
Power Distribution ◽  
Power Flow ◽  
Voltage Stability ◽  
Reactive Power ◽  
Induction Machine ◽  
Distribution Networks ◽  
Distribution Grid ◽  
Asynchronous Machine ◽  
Asynchronous Machines

There are now a lot of distributed generation (DG) using asynchronous machines are connected to power distribution grid. These machines do not usually generate reactive power, even consume reactive power, so they generally affect the voltage stability of whole power grid, and can cause instability in itself it is no longer balanced by the torque to work. In this paper, we investigate the voltage stability problem of the asynchronous machine of wind turbines used in power distribution networks. From the static model of the asynchronous machine, this paper will apply the pragmatic criteria to analysis the voltage stability of the asynchronous machine based on the results of the power flow in power distribution network.

Distribution Networks with Distributed Generation and Electric Vehicles

2021 ◽  
pp. 250-260
Author(s):  
Wilson Jhonatan Olmedo Carrillo ◽  
Andrés Santiago Cisneros-Barahona ◽  
María Isabel Uvidia Fassler ◽  
Gonzalo Nicolay Samaniego Erazo ◽  
Byron Andrés Casignia Vásconez
Keyword(s):  
Distributed Generation ◽  
Electric Vehicles ◽  
Distribution Networks

scholarly journals Load Management Strategies to Increase Electric Vehicle Penetration—Case Study on a Local Distribution Network in Stockholm

Energies ◽  
2020 ◽  
Vol 13 (18) ◽  
pp. 4809
Author(s):  
Monika Topel ◽  
Josefine Grundius
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Management Strategies ◽  
Electricity Sector ◽  
Limiting Factors ◽  
Transport Sector ◽  
Load Management ◽  
Distribution Grid ◽  
Integration Of Renewables ◽  
The Impact

As part of decarbonization efforts, countries are adapting their energy policies accordingly. Sweden has established ambitious energy goals, which include CO2 emissions reduction in the transport sector and high integration of renewables in the electricity sector. Coupling the two can be an enabling force towards fossil freedom. An increased share of electric vehicles is therefore a promising solution in this regard. However, there are challenges concerning the impact that a surge of electric vehicles would have on the electric infrastructure. Moreover, in Stockholm there is a shortage of power capacity due to limitations in the national transmission infrastructure, which further aggravates the situation. This paper develops a scenario-based simulation study to evaluate the impact of electric vehicle loads on the distribution grid of a Stockholm neighborhood. In this process, limiting factors and bottlenecks in the network were identified as being related to the peak power and transformer capacities for the years of 2025 and 2031. Two load management strategies and their potential to mitigate the power peaks generated from uncontrolled charging were investigated for the critical years.

scholarly journals On the Determination of Meshed Distribution Networks Operational Points after Reinforcement

2019 ◽  
Vol 9 (17) ◽  
pp. 3501 ◽  
Author(s):  
Vasiliki Vita ◽  
Stavros Lazarou ◽  
Christos A. Christodoulou ◽  
George Seritan
Keyword(s):  
Monte Carlo Simulation ◽  
Distributed Generation ◽  
Electric Vehicles ◽  
Maximum Load ◽  
Distribution Networks ◽  
Network Robustness ◽  
Current Load ◽  
Objective Functions ◽  
Calculation Algorithm

This paper proposes a calculation algorithm that creates operational points and evaluates the performance of distribution lines after reinforcement. The operational points of the line are probabilistically determined using Monte Carlo simulation for several objective functions for a given line. It is assumed that minimum voltage at all nodes has to be balanced to the maximum load served under variable distributed generation production, and to the energy produced from the intermittent renewables. The calculated maximum load, which is higher than the current load, is expected to cover the expected needs for electric vehicles charging. Following the proposed operational patterns, it is possible to have always maximum line capacity. This method is able to offer several benefits. It facilitates of network planning and the estimation of network robustness. It can be used as a tool for network planners, operators and large users. It applies to any type of network including radial and meshed.

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