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
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