Reliability Assessment of Coordinated Urban Transportation and Power Distribution Systems Considering the Impact of Charging Lots

Chi Zhang,Wenyuan Li,Zhifang Yang,Mohammad Shahidehpour,Xia Zhao,Lili Wen

doi:10.1109/access.2020.2973035

Abstract

Owing to spatiotemporal flexibility of electrical vehicles (EVs), EVs will introduce new synergies between the urban traffic system (UTS) and power distribution system (PDS). As a mobile charging load, arranged EV charging can not only provide more flexibility for power system optimization, but also influence the traveling time and other mobility-related characteristics of EVs. However, there are few studies that consider the impact of the coupling facility (such as parking lot with charging facilities) on UTS reliability, as well as the reliability of UTS and PDS (referred to as PTS). Therefore, it is necessary to extend the original research scope to incorporate the traffic system simulation into the collaborative analysis of the coordinated PTS. This paper first develops a new simulation framework for the coordinated UTS and PDS coupled with commercial charging lots (CLs). Then, a new method is illustrated for measuring the reliability of a coordinated UTS and PDS. At last, a novel unified PTS reliability index considering both UTS and PDS reliability indices are presented.

Highlights

With the continuous growth of the world population and the improvement of living standards in developing countries, the number of vehicles has been soaring all over the world
The cooperation of the integrated urban traffic system (UTS) and power distribution system (PDS) is simulated in parallel by simulation of urban mobility (SUMO) and MATLAB, and reliability indices that have been widely used for decades in both traffic and power systems are chosen to measure the performance of each system
As a coupling component between the UTS and PDS, charging lots (CLs) is an essential participant that influences the reliability of future smart cities constructed with the UTS and the PDS

Summary

PARAMETERS SOCmax Battery’s upper charging limit

C. VARIABLES Lpq Edge between nodes p and q lpq Length of edge between nodes p and q jpq Vehicle that has traveled Lpq npq Total number of vehicles that traveled Lpq nipnq Total number of vehicles that have entered Lpq nopuqt Total number of vehicles that reside outside. C. Zhang et al.: Reliability Assessment of Coordinated Urban Transportation and PDSs Considering the Impact of Charging Lots. Other notations are defined in the text

INTRODUCTION

TRAVEL TIME RELIABILITY OF UTS

CASE STUDY

Findings

CONCLUSION