Power-Traffic Coordinated Operation for Bi-Peak Shaving and Bi-Ramp Smoothing -A Hierarchical Data-Driven Approach

TL;DR

This paper presents a hierarchical data-driven approach to coordinate power and traffic systems using electric vehicles and charging stations to mitigate peak loads and ramping challenges in both systems.

Contribution

It introduces a novel data-driven hierarchical method for joint power-traffic system operation leveraging EV flexibility to address bi-peak and bi-ramp issues.

Findings

Effective reduction in peak loads and ramping in power systems.

Successful joint simulation demonstrating feasibility.

Improved system stability and operational efficiency.

Abstract

With the rapid adoption of distributed photovoltaics (PVs) in certain regions, issues such as lower net load valley during the day and more steep ramping of the demand after sunset start to challenge normal operations at utility companies. Urban transportation systems also have high peak congestion periods and steep ramping because of traffic patterns. We propose using the emerging electric vehicles (EVs) and the charing/discharging stations (CDSs) to coordinate the operation between power distribution system (PDS) and the urban transportation system (UTS), therefore, the operation challenges in each system can be mitigated by utilizing the flexibility of the other system. We conducted the simulation and numerical analysis using the IEEE 8,500-bus for the PDS and the Sioux Falls system with about 10,000 cars for the UTS. Two systems are simulated jointly to demonstrate the feasibility and effectiveness of the proposed approach.