A Fair Load Sharing Approach Based on Microgrid Clusters and Transactive Energy Concept

In small distribution systems, the "smart microgrid (μG)" concept is materialized for growing power savings and the allocation of energy distributed sources, and helping distribution system operators (DSOs) to choose the best investment strategies, to achieve a better grid operation, to increase the system efficiency, and to reduce adverse environmental impacts. In this context, the new specialized platforms for an advanced analysis and management of the energy market must be extended to the μG level, by reconsider of the actual grid infrastructures with "smart" μG clusters (μGC). The paper proposes a prosumers fair load sharing and surplus trading approach based on transactive energy concept in μG using an anonymous blockchain trading ledger-based clustering algorithm. In this way the trading process consider a new vision based on μGC for selection the trading peers' priority solved with Ward hierarchical algorithm. The developed method is tested on a real μG model to check its accuracy. Finally, an analysis regarding traded quantities and pecuniary peers' benefits is performed.