Cooperative optimization operation of transportation-power distribution network under automatic driving environment

In order to deeply analyze the cooperative optimization effect of coupled power-transportation network under mixed driving conditions，a cooperative optimization strategy of transportation-power distribution network under automatic driving environment is proposed. The cooperative operation framework of intelligent transportation-power distribution system is established，and the driving characteristics of autonomous and human-driven vehicles are analyzed，and a dynamic hybrid equilibrium model of transportation network based on variational inequalities is constructed. Combined with the dynamic optimal power flow model based on second-order cone programming，a two-stage iterative solution algorithm is designed to realize the cooperative operation simulation of the coupled network. Through the comparison and analysis with the existing single model scenario and non-coordinated operation，the optimization operation effect in the mixed driving environment during peak demand hours is explored. The final results prove the superiority of the proposed cooperative optimization strategy，which significantly reduces the cost of network comprehensive operation compared with the existing scenario，and realizes the optimization operation of coupled network under the new scenario of autonomous vehicle penetration. © 2024 Electric Power Automation Equipment Press. All rights reserved.