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The electric power distribution network (PDN) and the transportation network(TN) are generally operated/coordinated by different entities. However, theyare coupled with each other due to electric vehicle charging stations (EVCSs).This paper proposes to coordinate the operation of the two systems via a fullydecentralized framework where the PDN and TN operators solve their ownoperation problems by sharing only limited information. Nevertheless, theoperation problems generally are in mixed-integer programming (MIP) form. Tothe best of our knowledge, the most existing decentralized/distributedoptimization algorithms, such as the alternating direction method ofmultipliers (ADMM), are not always guaranteed to converge for such MIPproblems. Therefore, a novel fully decentralized optimization algorithm isproposed, whose contributions include: 1) it is applicable to MIP problems withconvergence and optimality guaranteed for mild assumptions, 2) it only requireslimited information exchange between PDN and TN operators, which will helppreserve the privacy of the two systems and reduce the investment in buildingcommunication channels, and 3) it is fully decentralized so that all thecomputations are carried out by PDN operator and TN coordinator only.Simulations on the test cases show the efficiency and efficacy of the proposedframework and algorithm.

A Novel Decentralized Algorithm for Coordinating the Optimal Power and Traffic Flows with EVs based on Variable Inner Loop Selection