Fairness in smart grid congestion management
| Autor: | Brinn Hekkelman, Han La Poutré |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Mathematical optimization
Computer Science::Computer Science and Game Theory Smart grid congestion management Computer science 020209 energy Pareto principle Power grids 02 engineering and technology Congestion management Energy transition 021001 nanoscience & nanotechnology Grid Quantitative fair optimization goals Smart grid Power system management Fairness measuring tools Fair optimization goal 0202 electrical engineering electronic engineering information engineering Optimisation 0210 nano-technology Mechanism (sociology) Congestion management solution Egalitarian allocation mechanism |
| Zdroj: | ISGT Europe |
| DOI: | 10.1109/isgteurope.2019.8905496 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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