@article{6ad597652c914eddab19aa08d03a3d7e,
title = "Utilizing capabilities of plug in electric vehicles with a new demand response optimization software framework: Okeanos",
abstract = "Particularly with respect to coordinating power consumption and generation, demand response (DR) is a vital part of the future smart grid. Even though, there are some DR simulation platforms available, none makes use of game theory. This paper proposes Okeanos, a fundamental, game theoretic, Java-based, multi-agent software framework for DR simulation that allows an evaluation of real-world use cases. While initial use cases are based on game theoretic algorithms and focus on consumption devices only, further use cases evaluate the effects of plug in electric vehicles (PEVs). Results with consumers show that the number of involved households does not affect the costs per household. Further evaluation involving PEVs demonstrates that with an increasing penetration of PEVs and feed-in tariffs the costs per household per month decrease. {\textcopyright} 2015 Elsevier Ltd. All rights reserved.",
keywords = "Demand response management, Game theory, Multi-agent systems, Plug in electric vehicles, Amphibious vehicles, Computer programming, Computer software, Electric power transmission networks, Electric vehicles, Multi agent systems, Smart power grids, Software agents, Vehicles, Demand response, Feed-in tariff, Game-theoretic, Multi-agent softwares, Optimization software, Plug-in Electric Vehicles, Simulation platform, Smart grid",
author = "W. Lausenhammer and D. Engel and R. Green",
note = "Cited By :14 Export Date: 14 December 2023 CODEN: IEPSD Correspondence Address: Green, R.; Dept. of Computer Science, Bowling Green State UniversityUnited States Funding details: Marshallplan-Jubil{\"a}umsstiftung Funding details: Austrian Federal Ministry of Economy, Family and Youth, BMWFJ Funding text 1: The financial support by the Austrian Federal Ministry of Economy, Family and Youth and the Austrian National Foundation for Research, Technology and Development is gratefully acknowledged. Further, thanks belong to the Austrian Marshall Plan Foundation and The Chamber of Labour which have partly funded the research on this paper. 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year = "2016",
doi = "10.1016/j.ijepes.2015.08.014",
language = "English",
volume = "75",
pages = "1--7",
journal = "International Journal of Electrical Power and Energy Systems",
issn = "0142-0615",
publisher = "Elsevier Ltd",
}
SDG 7 Affordable and Clean Energy