Enhancing power quality in electrical distribution systems using a smart charging architecture

Alyousef, Ammar; Danner, D. A.; Kupzog, Friederich; Meer, Hermann de

doi:10.1186/s42162-018-0027-1

Cited by 6 publications

(4 citation statements)

References 31 publications

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“…The focus of the ELECTRIFIC case study is quite grid-related (e.g. smart charging on distribution grid with power quality and grid congestion constraints (Alyousef et al 2018), dynamic prices for grid-friendly charging). But it also includes battery health recommendations, EV fleet usage and advanced charging services like reservation, dynamic prices and green charging (e.g.…”

Section: Evaluative Comparison With Sgammentioning

confidence: 99%

E-Mobility Systems Architecture: a model-based framework for managing complexity and interoperability

et al. 2019

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The future of e-mobility will consist of a large number of connected electric vehicles, smart charging stations and information systems at the intersection of electricity and mobility sector. When engineering and integrating the multitude of systems into even more complex systems-of-systems for e-mobility, interoperability and complexity handling are vital. Model-based system architectures support the engineering process of information systems with the concepts of abstraction, reduction and separation of concerns. In this paper, we contribute to the research body, by extracting requirements for managing complexity and interoperability of these systems. Further, a comparative analysis of the state-of-the-art in existing architecture models and frameworks for e-mobility is conducted. Based on the identified gaps in existing research, we propose the E-Mobility Systems Architecture (EMSA) Model, a three-dimensional systems architecture model for the e-mobility sector. Its structure originates from the well-established Smart Grid Architecture Model. We further allocate all relevant entities from the e-mobility sector to the EMSA dimensions, including a harmonized role model, functional reference architecture, component and systems allocation, as well as a mapping of data standards and communication protocols. The model then is validated qualitatively and quantitatively against the requirements with a case study approach. Our evaluation shows that the EMSA Model fulfills all requirements regarding the management of complexity and ensuring interoperability. From the case study, we further identify gaps in current data model standardization for e-mobility.

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Section: Evaluative Comparison With Sgammentioning

confidence: 99%

E-Mobility Systems Architecture: a model-based framework for managing complexity and interoperability

et al. 2019

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“…They also recommend some kind of coordinated charging to lower the impact of EV penetration. Finally, Alyousef et al (2018) assessed the power quality of the grid under different power and load levels. In case of simultaneous and maximum EV charging, they forecast voltage drops and overloads of CS on the grid in the morning and evening.…”

Section: Discussionmentioning

confidence: 99%

“…Gharbaoui et al (2013) implement activity-based EV behavior in SUMO including charging needs and travel demands that are derived from daily activities. Soares et al (2012) present a simulator for EVs that is used for smart grids and distribution networks while Alyousef et al (2018) develop a realtime mechanism to enhance the power quality in the energy distribution grid. The main drawback of the cited papers is that they use artificially created data.…”

Section: Dynamic Simulation and Synthetic Datamentioning

confidence: 99%

Using real mobility patterns to assess the impact of 100% electrified mobility in a German city

Klingert

Lee

2022

Energy Inform

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Until now, individual motorized mobility has been almost exclusively powered by fossil energy sources. The battle against climate change, however, requires a transformation of the mobility system with the ultimate objective of a full electrification of transport. Ultimately, this will increase considerably the load on the distribution grid both in overall size and through temporarily and locally distributed charging. This paper explores the effects of an assumed full electrification of individual motorized transport on the power grid in a major German city using real traffic data collected from a German traffic panel and employing a microscopic and dynamic travel simulation with the Simulation of Urban MObility tool. The main finding of the traffic simulation is that the local and temporary impact on the distribution grid is very sensitive to the distribution of charging stations and their geographical aggregation in transformers. However, behavior change in the form of charging at different points in time and locations or using less power can alleviate local peaks, up to 50% in the simulated scenario. Therefore, this paper addresses the previously uncovered need for a more profound and realistic computation that includes all important aspects of a proper traffic simulation. It further extends the barely covered field of dynamic simulations that operate on real mobility data. With that, limitations arise from the process of transposing driving data into geographical data as it is very sensitive to underlying assumptions. However, we are convinced that the spatialization of charging stations and the randomization of trip assignments represent the most transparent and meaningful way of overcoming these limiting factors.

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“…manner (Alyousef et al 2018). The paper "Estimating the Savings Potential of Occupancy-based Heating Strategies" by Vincent Becker, Wilhelm Kleiminger, Vlad C. Coroama, Friedemann Mattern comes in second and presents an easily applicable approach for quickly identifying households with high potential for energy savings and convincing inhabitants to adopt an occupancy-based heating strategy (Becker et al 2018).…”

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confidence: 99%

Welcome to the 7th DACH+ Conference on Energy Informatics

Lehnhoff

2018

Energy Inform

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Dear readerOn behalf of the steering committee, the technical program committee, and the organization committee it is my great pleasure to present you this year's papers of the 7th DACH+ Conference on Energy Informatics. The objective of the DACH+ conference series on Energy Informatics is to promote the research, development, and implementation of information and communication technologies in the energy domain and to foster the exchange between academia, industry, and service providers in the German-Austrian-Swiss region and its neighbouring countries (DACH+).The DACH+ Energy Informatics conference series is a joint initiative of the German Federal Ministry for Economic Affairs and Energy, the Swiss Federal Office of Energy, and the Austrian Ministry for Transport, Innovation and Technology. This year's edition of the conference is also supported by the German Informatics Society.Europe has set ambitious targets for increasing energy efficiency, reducing greenhouse gas emissions and enlarging the share of renewable energy sources. This conference is focusing on solutions using digitalization at the intersection of computing and communication technologies with energy systems, which is at the core of Energy Informatics. Application areas that have been the focus of this year's submissions are home energy management, network operations, increased flexibility of demand and supply as well as its optimisation, the interoperable design of systems assuring energy efficiency, system stability, and security of supply.Sincere thanks go to all those involved in the organisation of the DACH+ Energy Informatics: First of all, I want to thank the authors for providing the high-quality content of this supplement, the steering committee for their thoughtful guidance, especially the German Federal Ministry for Economic Affairs and Energy, which within the Smart Energy Showcases -Digital Agenda for the Energy Transition (SINTEG) programme provided us with the possibility to publish this year's papers and posters within this Open Access journal. I want to thank the chairs and the members of the technical program committee as well as the additional reviewers for providing valuable feedback to the authors.

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Enhancing power quality in electrical distribution systems using a smart charging architecture

Cited by 6 publications

References 31 publications

E-Mobility Systems Architecture: a model-based framework for managing complexity and interoperability

E-Mobility Systems Architecture: a model-based framework for managing complexity and interoperability

Using real mobility patterns to assess the impact of 100% electrified mobility in a German city

Welcome to the 7th DACH+ Conference on Energy Informatics

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