Coordinated Dispatch of Power and Transportation Systems Considering Hydrogen Storage Based on Heterogeneous Decomposition

With the increasing penetration of electric vehicles (EVs) and the widespread utilization of dynamic wireless charging technology, it is imperative to coordinate the dispatch of electric power systems and electrified transportation networks. In this article, a coordinated power and transportation dispatch model is developed to achieve the maximal social welfare of the power and transportation networks. Specifically, the hydrogen energy storage (HES) system is incorporated into the coordinated power and transportation dispatch model. This allows for more cost-effective power supply and energy storage by enabling the bidirectional conversion of hydrogen and electricity. In addition, the semidynamic traffic assignment (SDTA) model is established to capture the dynamics of the traffic flows. Inspired by the heterogeneity of the power and transportation networks, the heterogeneous decomposition (HGD) algorithm is introduced to solve the coordinated power and transportation dispatch problem. To cope with the numerical oscillation issues, an improved HGD (I-HGD) algorithm is developed, and its convergence and optimality are analyzed theoretically. Numerical simulations are conducted in two test systems to demonstrate the optimal utilization of the HES system in reducing energy costs and maintaining power balance. The efficiency and robustness of the I-HGD algorithm are validated through numerical results.