TY - JOUR
T1 - A Hybrid Dynamic System Model for Multimodal Transportation Electrification
AU - Farid, Amro M.
N1 - Publisher Copyright:
© 1993-2012 IEEE.
PY - 2017/5
Y1 - 2017/5
N2 - In recent years, transportation electrification has emerged as a trend to support energy efficiency and CO2 emissions reduction targets. The true success, however, of this trend depends on the successful integration of electric transportation modes into the infrastructure systems that support them. Left unmanaged, plug-in electric vehicles may suffer from delays due to charging or cause destabilizing charging loads on the electrical grid. Online electric vehicles have emerged to remediate the need for stationary charging and its effects. While many works have sought to mitigate these effects with advanced control functionality, such as coordinated charging, vehicle-to-grid stabilization, and charging queue management, few works have assessed these impacts as a holistic transportation-electricity nexus. This paper develops a hybrid dynamic system model for transportation electrification. It also includes next generation traffic simulation concepts of multimodality and multiagency. Such a model can be used by electrified transportation fleet operators to not just assess but also improve their operations and control. The hybrid dynamic system model is composed of a marked Petri-net model superimposed on the continuous time kinematic and electrical state evolution. The model is demonstrated on an illustrative example of moderate size and functional heterogeneity.
AB - In recent years, transportation electrification has emerged as a trend to support energy efficiency and CO2 emissions reduction targets. The true success, however, of this trend depends on the successful integration of electric transportation modes into the infrastructure systems that support them. Left unmanaged, plug-in electric vehicles may suffer from delays due to charging or cause destabilizing charging loads on the electrical grid. Online electric vehicles have emerged to remediate the need for stationary charging and its effects. While many works have sought to mitigate these effects with advanced control functionality, such as coordinated charging, vehicle-to-grid stabilization, and charging queue management, few works have assessed these impacts as a holistic transportation-electricity nexus. This paper develops a hybrid dynamic system model for transportation electrification. It also includes next generation traffic simulation concepts of multimodality and multiagency. Such a model can be used by electrified transportation fleet operators to not just assess but also improve their operations and control. The hybrid dynamic system model is composed of a marked Petri-net model superimposed on the continuous time kinematic and electrical state evolution. The model is demonstrated on an illustrative example of moderate size and functional heterogeneity.
KW - Axiomatic design
KW - Petri nets
KW - heterofunctional networks
KW - hybrid dynamic system
KW - multimodal transportation
KW - power systems
KW - transportation electrification
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U2 - 10.1109/TCST.2016.2579602
DO - 10.1109/TCST.2016.2579602
M3 - Article
AN - SCOPUS:84978881290
SN - 1063-6536
VL - 25
SP - 940
EP - 951
JO - IEEE Transactions on Control Systems Technology
JF - IEEE Transactions on Control Systems Technology
IS - 3
M1 - 7503134
ER -