Abstract | ||
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With the energy transition, grid congestion is increasingly becoming a problem. This paper proposes the implementation of fairness in congestion management by presenting quantitative fair optimization goals and fairness measuring tools. Furthermore, this paper presents a congestion management solution in the form of an egalitarian allocation mechanism. Finally, this paper proves that this mechanism is truthful, pareto efficient, and maximizes a fair optimization goal. |
Year | DOI | Venue |
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2019 | 10.1109/ISGTEurope.2019.8905496 | 2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe) |
Keywords | Field | DocType |
smart grid congestion management,energy transition,quantitative fair optimization goals,fairness measuring tools,congestion management solution,egalitarian allocation mechanism,fair optimization goal | Congestion management,Smart grid,Computer science,Computer network | Conference |
ISSN | ISBN | Citations |
2165-4816 | 978-1-5386-8219-7 | 0 |
PageRank | References | Authors |
0.34 | 0 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Brinn Hekkelman | 1 | 0 | 0.34 |
Han La Poutré | 2 | 240 | 33.07 |