Uncertainty and Autarky: Cooperative Game Theory for Stable Local Energy Market Partitioning

Researchers Saurabh Vaishampayan and Maryam Kamgarpour have published a paper titled 'Uncertainty and Autarky: Cooperative Game Theory for Stable Local Energy Market Partitioning' that addresses a critical challenge in modern energy systems. As more consumers become prosumers (both producing and consuming energy through solar panels, etc.), local energy markets are emerging where these prosumers can form coalitions to trade energy directly. However, determining how to optimally partition a distribution grid into these trading coalitions is complex, especially when balancing the needs of the grid operator (who must ensure stability) with the economic interests of the prosumers, all while accounting for the uncertainty of renewable generation and consumption.

The researchers' framework uses cooperative game theory to mathematically model this partitioning problem. A key finding is that under deterministic conditions (perfectly predictable load and generation), forming the single largest possible market coalition is the optimal and stable partition. For the more realistic case of stochastic (uncertain) conditions, they developed an algorithm to evaluate the optimal stable partition. The work was tested on both benchmark and real-world distribution grids, providing a formal method to understand how uncertainty impacts coalition formation. This research provides a crucial tool for utilities and market designers to structure local energy trading in a way that maintains grid reliability while maximizing the economic benefits of distributed energy resources.