Fairness in smart grid congestion management
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.
|Optimisation, Power grids, Power system management, Smart grid congestion management, Energy transition, Quantitative fair optimization goals, Fairness measuring tools, Congestion management solution, Egalitarian allocation mechanism, Fair optimization goal|
|Framework for demand-supply matching and ancillary service provision through distributed energy resources (project D)|
|IEEE PES Conference on Innovative Smart Grid Technologies|
|Organisation||Intelligent and autonomous systems|
Hekkelman, B, & La Poutré, J.A. (2019). Fairness in smart grid congestion management. In Proceedings of 2019 IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2019 (pp. 1–5). doi:10.1109/ISGTEurope.2019.8905496