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.

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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, H. (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