Optimal Energy Management Framework for Truck-Mounted Mobile Charging Stations Considering Power Distribution System...

Area of Science:

• Electrical Engineering
• Transportation Systems Engineering
• Optimization Theory

Background:

• High electric vehicle (EV) charging demand at fixed charging stations (FCS) causes long EV waiting times and power grid instability.
• Existing mobile charging station (MCS) scheduling methods often neglect crucial power distribution system operational constraints.

Purpose of the Study:

• To present an optimization framework for dispatching a mobile charging station (MCS) to alleviate congestion at fixed charging stations (FCS).
• To ensure normal power grid operation while minimizing EV waiting times by considering power flow and voltage quality.

Main Methods:

• Developed an optimization framework integrating transportation and power distribution systems for MCS scheduling.
• Incorporated active/reactive power flow, EV power consumption, MCS reactive power capabilities, and voltage quality into the optimization model.
• Simulated the proposed MCS optimization algorithm on coupled IEEE 13-bus/9-node and 33-bus/15-node systems.

Main Results:

• The proposed MCS optimization framework effectively reduced the number of waiting EVs.
• Maintained voltage magnitudes within allowable limits in the power distribution systems.
• Demonstrated effective management of reactive power by the MCS.

Conclusions:

• The integrated optimization framework successfully addresses challenges of high EV charging demand.
• The MCS dispatch strategy enhances the efficiency and stability of power distribution systems with EVs.
• The algorithm proves effective in practical scenarios, balancing transportation needs with grid operational requirements.