Blockchain-Enabled Robust-Game Electricity Transaction Model for a Multi-Microgrid System Considering Wind Power Uncertainty

Considering the uncertainty of wind power generation (WPG) and the specific operation behaviors of trading microgrids, this paper presents a blockchain-enabled robust-game electricity transaction model in a multi-microgrid system (MMS) to obtain optimal bidding-dispatching strategies, and achieve a transparent and decentralized electricity transaction. Combining blockchain technology and a non-cooperative game model, the established MMS electricity transaction architecture provides a complete information game environment for all game microgrids and facilitates the transparent, efficient, orderly, spontaneous management of MMS electricity transactions without the intervention of a third trusted party. Based on the distributed transaction architecture, an MMS robust-game model is presented to achieve the optimal day-ahead bidding-dispatching (DA-BD) strategies, in which the individual microgrid two-stage adjustable robust-game bidding-dispatching (ARG-BD) model characterizes the WPG uncertainty by employing uncertain interval and adjustable robust parameters. The binary expansion method, duality theory, big M method, and column-and-constrain generation algorithm (C&CG) are employed to solve the individual microgrid two-stage ARG-BD model. An alternating robust-game procedure integrating the C&CG algorithm and non-cooperative game model is developed to solve the MMS robust-game model. Case studies demonstrate the transparent and decentralized transaction, economic mutual benefits, and solution robustness of the presented method.