scholarly journals Investigating the Impact of E-Mobility on the Electrical Power Grid Using a Simplified Grid Modelling Approach

Energies ◽  
2019 ◽  
Vol 13 (1) ◽  
pp. 39 ◽  
Author(s):  
Julia Vopava ◽  
Christian Koczwara ◽  
Anna Traupmann ◽  
Thomas Kienberger

To achieve climate goals, it is necessary to decarbonise the transport sector, which requires an immediate changeover to alternative power sources (e.g., battery powered vehicles). This change will lead to an increase in the demand for electrical energy, which will cause additional stress on power grids. It is therefore necessary to evaluate energy and power requirements of a future society using e-mobility. Therefore, we present a new approach to investigate the influence of increasing e-mobility on a distribution grid level. This includes the development of a power grid model based on a cellular approach, reducing computation efforts, and allowing time and spatially resolved grid stress analysis based on different load and renewable energy source scenarios. The results show that by using the simplified grid model at least seven times, more scenarios can be calculated in the same time. In addition, we demonstrate the capability of this novel approach by analysing the influence of different penetrations of e-mobility on the grid load using a case study, which is calculated using synthetic charging load profiles based on a real-life mobility data. The results from this case study show an increase on line utilisations with increasing e-mobility and the influence of producers at the same connection point as e-mobility.

Energies ◽  
2019 ◽  
Vol 12 (24) ◽  
pp. 4717 ◽  
Author(s):  
Sylvester Johansson ◽  
Jonas Persson ◽  
Stavros Lazarou ◽  
Andreas Theocharis

Social considerations for a sustainable future lead to market demands for electromobility. Hence, electrical power distribution operators are concerned about the real ongoing problem of the electrification of the transport sector. In this regard, the paper aims to investigate the large-scale integration of electric vehicles in a Swedish distribution network. To this end, the integration pattern is taken into consideration as appears in the literature for other countries and applies to the Swedish culture. Moreover, different charging power levels including smart charging techniques are examined for several percentages of electric vehicles penetration. Industrial simulation tools proven for their accuracy are used for the study. The results indicate that the grid can manage about 50% electric vehicles penetration at its current capacity. This percentage decreases when higher charging power levels apply, while the transformers appear overloaded in many cases. The investigation of alternatives to increase the grid’s capabilities reveal that smart techniques are comparable to the conventional re-dimension of the grid. At present, the increased integration of electric vehicles is manageable by implementing a combination of smart gird and upgrade investments in comparison to technically expensive alternatives based on grid digitalization and algorithms that need to be further confirmed for their reliability for power sharing and energy management.


2020 ◽  
Vol 2020 ◽  
pp. 1-13 ◽  
Author(s):  
Joannes I. Laveyne ◽  
Dimitar Bozalakov ◽  
Greet Van Eetvelde ◽  
Lieven Vandevelde

In Belgium, and many other countries, rooftop solar panels are becoming a ubiquitous form of decentralised energy production. The increasing share of these distributed installations however imposes many challenges on the operators of the low-voltage distribution grid. They must keep the voltage levels and voltage balance on their grids in check and are often regulatory required to provide sufficient reception capacity for new power producing installations. By placing solar panels in different inclinations and azimuth angles, power production profiles can possibly be shifted to align more with residential power consumption profiles. In this article, it is investigated if the orientation of solar panels can have a mitigating impact on the integration problems on residential low voltage distribution grids. An improved simulation model of a solar panel installation is constructed, which is used to simulate the impact on a residential distribution grid. To stay as close to real-life conditions as possible, real irradiation data and a model of an existing grid are used. Both the developed model as the results on grid impact are evaluated.


Energies ◽  
2020 ◽  
Vol 13 (18) ◽  
pp. 4809
Author(s):  
Monika Topel ◽  
Josefine Grundius

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.


2019 ◽  
Vol 11 (6) ◽  
pp. 1744 ◽  
Author(s):  
Qais Alsafasfeh ◽  
Omar Saraereh ◽  
Imran Khan ◽  
Sunghwan Kim

As the unconstrained integration of distributed photovoltaic (PV) power into a power grid will cause changes in the power flow of the distribution network, voltage deviation, voltage fluctuation, and so on, system operators focus on how to determine and improve the integration capacity of PV power rationally. By giving full consideration to the static security index constraints and voltage fluctuation, this paper proposes a maximum integration capacity optimization model of the PV power, according to different power factors for the PV power. Moreover, the proposed research analyzes the large-scale PV grid access capacity, PV access point, and multi-PV power plant output, by probability density distribution, sensitivity analysis, standard deviation analysis, and over-limit probability analysis. Furthermore, this paper establishes accessible capacity maximization problems from the Institute of Electrical and Electronics Engineers (IEEE) standard node system and power system analysis theory for PV power sources with constraints of voltage fluctuations. A MATLAB R2017B simulator is used for the performance analysis and evaluation of the proposed work. Through the simulation of the IEEE 33-node system, the integration capacity range of the PV power is analyzed, and the maximum integration capacity of the PV power at each node is calculated, providing a rational decision-making scheme for the planning of integrating the distributed PV power into a small-scale power grid. The results indicate that the fluctuations and limit violation probabilities of the power system voltage and load flow increase with the addition of the PV capacity. Moreover, the power loss and PV penetration level are influenced by grid-connected spots, and the impact of PV on the load flow is directional.


Author(s):  
Renata Phelps

As educators embrace theories of complexity to inform their teaching and research practice, theoretically relevant methods will be required to appropriately conduct and study complexity-based approaches to education. Action research has been identified as offering significant potential for studying complexity, acting as a form of ‘real life modeling’ for learning and teaching. In this paper it is argued that reflection, a key aspect of action research, can be a productive method for both studying and working with complexity in educational contexts. Reflective journals, more specifically, provide scope not only for gathering research data but also for promoting learning and change. As a teaching approach, reflective journals can reduce the impact of external control while providing opportunities to promote and document instability and disequilibrium. Reflective journals allow for documentation of emergence and bifurcation and embrace participants’ involvement in interpretation of data in inherently non-linear ways. Reflective journals assist to build up an holistic picture of the interplay between individuals’ histories and their current and emergent ‘state’, thus providing insight into ‘sensitivity to initial conditions’. This paper illustrates these theoretical ideas through a case study derived from a course in information and communication technology (ICT) for practicing teachers.


2022 ◽  
pp. 089331892110622
Author(s):  
Charis Rice ◽  
Rosalind H. Searle

This paper explores the role of internal communication in one under-researched form of organizational crisis, insider threat – threat to an organization, its people or resources, from those who have legitimate access. In this case study, we examine a high security organization, drawing from in-depth interviews with management and employees concerning the organizational context and a real-life incident of insider threat. We identify the importance of three communication flows (top-down, bottom-up, and lateral) in explaining, and in this case, enabling, insider threat. Derived from this analysis, we draw implications for communication and security scholars, as well as practitioners, concerning: the impact of unintentional communication, the consequences of selective silence and the divergence in levels of shared understanding of security among different groups within an organization.


2016 ◽  
Vol 22 (76) ◽  
pp. 85-112 ◽  
Author(s):  
Artem Patalakh

AbstractThe paper advances a realist analytical model for case studies of national soft power policies. First, it argues that for the purposes of realist analysis, a soft power policy must be considered as a rational strategy pursued under the conditions of competition. Furthermore, it emphasises the importance of taking into account the specificities of the recipient state as well as the fact that a soft power strategy is targeted at both its elite and its public. In addition, the article substantiates the necessity to draw a clear-cut distinction between soft power sources and instruments and shows possible shortcomings that research can have should this distinction fail to be made. Finally, the paper discusses the impact of a competitor’s presence on a soft power strategy and specifies the terms under which disregarding this impact may engender a wrong conclusion.


Author(s):  
Nita J. Matzen ◽  
Kim Becnel ◽  
Geraldine Purpur

This chapter shares the development and implementation of a redesigned Information Sources and Services course and presents a case study that examines the impact of that course on student learning. The revised course applies Presence Pedagogy incorporating epistemic framing through extended role-play and the use of experienced mentors in a three-dimensional immersive virtual environment. Also examined are: changes in students’ comfort level while playing the role of reference librarian, their technology skills and confidence, similarities and dissimilarities between the game role and an imagined real-life role, students’ comfort level with the presence of a mentor, and their incorporating mentor suggestions.


Electronics ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 139
Author(s):  
Rabah Boudina ◽  
Jie Wang ◽  
Mohamed Benbouzid ◽  
Gang Yao ◽  
Lidan Zhou

The future adoption of electric vehicles (EV) as the main means of commuting will put an additional stress on the distribution grid; the level where EVs are mainly expected to be charged. Estimation of the EV charging influence on the distribution grid is a critical task for distribution system operators (DSO) in order to plan for grid reinforcement and to avoid service failure. Due to the unpredictable nature of daily human activities, stochastic modeling for daily EVs’ owner behavior and residential power consumption is needed. In our study a new estimation model for the EV power demand during the charging process is developed to accurately estimate the charging demand, which is combined with daily household power consumption loads based on real life measurements to estimate the total demand in the system. This demand can be applied to the standard IEEE 69 distribution system and can quantify the influence of different penetration levels under an uncontrolled (dumb) charging case, also under a proposed controlled charging algorithm for both summer and winter seasons.


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