Optimal Operation Scheme of Electric Vehicle Routing and Charging Considering Power Distribution and Transportation Integrated System

Abstract

The increase in EV (Electric Vehicle) charging demands significantly affects the power system; thus, developing an optimal operating system is necessary to improve the power system stability while considering the transportation network. However, in existing studies, charging scheduling is divided into a power system perspective focusing on grid stability and a transportation perspective focusing on the optimal operation of EVs. As EVs affect both systems, it is necessary to consider both grid operation and transportation-network operation simultaneously. In this study, an integrated operation algorithm for the transportation network and power grid has been developed, which determines the amount of demand response through the power-flow results at the upper level and resolves traffic congestion by setting the optimal route for EVs at the lower level. The Demand Response (DR) adjustment amount is determined based on MATSim vehicle data, rather than simply looking at the DR amount from the perspective of the power system. Furthermore, the concept of Autonomous Integrated EVs (AIEV) in the integrated system has been constructed, which improves the grid stability to cope with uncooperative EVs. The transportation system is configured using MATSim to run the integrated simulation, and the power system is configured using the IEEE-33 bus model. The integrated operating algorithm received high evaluation indicators for voltage stability, power loss, and average driving time. In addition, the effectiveness of the algorithm was demonstrated in various situations through the composition of multiple scenarios.

Keywords

• Electric vehicle
• optimal route planning
• aggregator
• power-transportation system
• driving scheduling
• charging scheduling