An IEEE Xplore database literature review regarding the interaction between electric vehicles and power grids

Andres, Arias L.; Sanchez, Dianne; Martínez, Luis Hernández; Isaza, Ricardo Alberto Hincapié; Echeverri, Mauricio Granada

doi:10.1109/isgt-la.2015.7381237

Cited by 4 publications

(2 citation statements)

References 53 publications

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“…For the current methods, the feature space corresponds to the behavioural space. Figure retrieved from [90]. .…”

Section: Additional Results 81mentioning

confidence: 99%

Evolutionary Reinforcement Learning: A Hybrid Approach for Safety-informed Intelligent Fault-tolerant Flight Control

Gavra,

Van Kampen

2024

AIAA SCITECH 2024 Forum

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Artificial Intelligence is already revolutionising the world. With this thesis, I was able to combine my curiosity for AI and my genuine fascination for things that fly. In my research, I try to synchronise the latest advancement in bio-inspired intelligent methods, such as deep reinforcement learning and evolutionary algorithms, to develop adaptive controllers that are robust to faults, disturbances and unexpected phenomena. I am confident that my work will contribute towards safer autonomous systems and I hope to, at some point in future, see them flying.Continuing the effort of previous students and researchers in this field, the code developed as part of this thesis has been made publicly available 1 .By submitting this thesis, I am concluding a five-year journey of my life. Working to become an Aerospace Engineer at TU Delft has inevitably shaped the way I learn and think. It has been a truly unforgettable experience for which I shall thank many inspiring people that I have met along the way. Among all of them, I would like to thank Erik-Jan van Kampen for his much-needed guidance throughout my nine-month research. Your ability to always show a calm approach towards any seemingly unsolvable problem inspired me. Also, by always making sure that I am spending my resources exploiting the most important aspects, you led me to achieve what I now feel has been the perfect balance between learning new topics and delivering relevant results. This journey would not have been possible without the support of my friends made in Delft and Oradea, alongside whom I learnt so much. We have shared both adventures and stressful work sessions, highs and lows, and then debated all of them in endless discussions. I will always cherish these memories.Thank you Casi for your continuous support, trust and encouragement. Without these, I would have lost my confidence many times and I am more than grateful that you have never let that happen. Last but not least, I would particularly like to thank my parents for devoting their entire attention and effort to support me in achieving my goals.

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“…For the current methods, the feature space corresponds to the behavioural space. Figure retrieved from [90]. .…”

Section: Additional Results 81mentioning

confidence: 99%

Evolutionary Reinforcement Learning: A Hybrid Approach for Safety-informed Intelligent Fault-tolerant Flight Control

Gavra,

Van Kampen

2024

AIAA SCITECH 2024 Forum

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“…Therefore, introducing electric vehicles brings new challenges and discussions in relation to the operation and T planning of electric power distribution systems, which is why issues related to energy quality, study of scenarios, market of electricity, response to demand, demand management, stability of electrical systems, connection of the vehicle to the network and charging stations and battery exchange have been investigated [4]. The investigations related to EV begin in the '70s [5], in which studies on their electrical requirements and the impact they generate on the distribution network and the generating plants are carried out.…”

Section: Introductionmentioning

confidence: 99%

Optimal location of battery swap stations for electric vehicles

2019

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In this paper, a methodology that allows to determine the location and optimal sizing of battery swap stations for electric vehicles in distribution networks is proposed, which objective is to minimize investment costs and technical losses of the network. The set of constraints is associated with technical and operational characteristics of the system. To solve the mathematical model, an evolutionary algorithm is used. To verify the efficiency of the methodology, a Colombian distribution system is used, where the obtained results validate what is proposed in this work.

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An IEEE Xplore Database Literature Review Concerning Internet of Everything During 2020-2021

Alqasemi

Al-Hagree

Shaddad

et al. 2021

2021 International Conference on Intelligent Technology, System and Service for Internet of Everything (ITSS-IoE)

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An IEEE Xplore database literature review regarding the interaction between electric vehicles and power grids

Cited by 4 publications

References 53 publications

Evolutionary Reinforcement Learning: A Hybrid Approach for Safety-informed Intelligent Fault-tolerant Flight Control

Evolutionary Reinforcement Learning: A Hybrid Approach for Safety-informed Intelligent Fault-tolerant Flight Control

Optimal location of battery swap stations for electric vehicles

An IEEE Xplore Database Literature Review Concerning Internet of Everything During 2020-2021

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