Requirements on electrical power infrastructure by electric vehicles

Hable, Matthias; Schwaegerl, Christine; Tao, Liang; Ettinger, Andreas; Köberle, Robert; Meyer, Ernst-Peter

doi:10.1109/emobility.2010.5668076

Cited by 11 publications

(16 citation statements)

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“…[67]. Reference [75] simulates and analyses the number of EVs that can be connected in a region of the German grid, and reference [76] proposes a conceptual regulatory framework for charging EVs, describing business models and the role of the agents involved. Note that the focus of these works is the optimal management of infrastructure systems, and how to use the smart grid infrastructure to cope with the new challenges of a larger penetration of EVs, DER systems, etc.…”

Section: Research On and Applications Of Smart-grid Infrastructurementioning

confidence: 99%

“…The results presented in both Table 38 and Table 39 suggest that an aggregator can benefit significantly from participating in the market, even with a relatively small market share (less than 1%). Lastly, to analyse the effect of the volume of the aggregated resources, the total cost per client (taken from Table 38) at all district sizes has been compared with the cost at the smallest considered district, as in (75). This index shows more clearly the impact of market share into the final costs.…”

Section: Fig 21 Total Costs Per Household (At the End Of The 20 Yeamentioning

confidence: 99%

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5.12 Energy Management in Smart Cities

Fokaides

Apanavičienė

Klumbytė

2018

Comprehensive Energy Systems

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The Degree Certificates are giving reference to the joint programme. The doctoral candidates are jointly supervised, and must pass a joint examination procedure set up by the three institutions issuing the degrees. This Thesis is a part of the examination for the doctoral degree. The invested degrees are official in Spain, the Netherlands and Sweden, respectively. SETS Joint Doctorate was awarded the Erasmus Mundus excellence label by the European Commission in year 2010, and the European Commission's Education, Audiovisual and Culture Executive Agency, EACEA, has supported the funding of this programme. The EACEA is not to be held responsible for contents of the Thesis. vi Energy Management of Smart Cities Christian F. Calvillo Muñoz Energy Management of Smart Cities 1 Christian F. Calvillo Muñoz Chapter 7 Complete smart city energy model: aggregated DER and transport systems with active market participation Chapter 8 Conclusions, contributions and future work Chapter 1 Energy Management of Smart Cities 9 Christian F. Calvillo Muñoz 2 2 LITERATURE REVIEW This chapter presents the identification of energy systems task, corresponding to the smart city energy model methodology described in section 1.3. This includes the evaluation of energy systems available in a smart city, assessing their importance and possible synergies, in addition to the review of the existing models and tools, to select which ones could be used. The first part of the chapter introduces an overview of energy related work on planning and operation models within the smart city by classifying their scope into five main intervention areas. These areas are generation, storage, infrastructure, facilities, and transport. Then, more complex urban energy models integrating more than one intervention area are reviewed, outlining their advantages and limitations, existing trends and challenges, as well as some relevant smart cities applications. With this revision, important elements and possible synergies in the smart city are identified, and a framework for developing a comprehensive smart city energy model is proposed, along with some additional recommendations. Therefore, the main contributions of this chapter are, first, a comprehensive literature review of smart city energy systems and related modelling tools, classifying them in five intervention areas, and second, a framework with guidelines and recommendations for developing a comprehensive smart city energy model.

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Section: Research On and Applications Of Smart-grid Infrastructurementioning

confidence: 99%

Section: Fig 21 Total Costs Per Household (At the End Of The 20 Yeamentioning

confidence: 99%

5.12 Energy Management in Smart Cities

Fokaides

Apanavičienė

Klumbytė

2018

Comprehensive Energy Systems

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“…Some LV cables were also found to be vulnerable to overloading. Another investigation carried out in a regional network near the city of Kempten, Germany [14] found that the number of overloaded lines increased with increasing EV penetration.…”

Section: Effects On the Distribution System Componentsmentioning

confidence: 99%

“…The study in [11] found that the energy losses could increase up to 40% with off peak charging at a 62% of EV market penetration. The researchers of reference [14] concluded that the network power losses increased significantly with EV penetration, almost independent of the EV connected location. The researchers of [13,20,41] also found that the power losses were increased with the EV penetration.…”

Section: Impact Of Ev On Power System Lossesmentioning

confidence: 99%

“…A number of system studies have identified numerous grid impacts associated with EV charging [13, 14, 16, 26-29, 37, 39-41, 132]. Increased system peak demands [16,26], voltage regulatory limit violations [26,37,[39][40][41], increased power system losses [13,14,41,132,133] and possible overloading of distribution transformers, lines and cables [13,14,18,21,132,134] are among the identified grid impacts. Although, voltage stability has become a major concern in power system planning and operations due to an increasing number of voltage instability incidents reported worldwide [135] [136], there exists only very few EV-related voltage stability studies.…”

Section: Literature Reviewmentioning

confidence: 99%

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Electric vehicle integration - grid stability concerns and countermeasures

Dharmakeerthi¹

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The electrification of transportation has become a sustainable solution to the global economic and environmental challenges associated with the fossil fuel-dependent transportation. Substantial electric vehicle (EV) integration has resulted in the recent past owing to the distinct advantages and various incentives provided by governments. It can be expected that EV penetration will further accelerate along with technological advancements. This strategic shift of primary source of transportation energy from oil pipelines to power grids will inevitably bring numerous challenges to power grids around the world. The potential impacts of EV integration on power grids are yet to be discovered. This research concentrated on modelling the EV charging load, evaluating its impact on power system stability and identifying remedies. Further, two computationally efficient indexes were developed to identify voltage stability and oscillatory stability prudent charging solutions. A comprehensive EV charging infrastructure planning strategy was also developed. This research investigated the probable grid impacts associated with EV charging by comprehensively reviewing the available literature. Even though there were number of system studies on wide variety of grid impacts, scant attention has been paid to impact of EV charging on system stability. Electrification of transportation brings significant load integration to the grid. Hence, it is important to understand the EV charging impact on power system stability. The extant UK United Kingdom VAA Virtual ant algorithms V2G Vehicle to grid

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