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The digital transformation of power systems into cyber-physical systems (CPSs) is the inevitable trend of modern power systems with the integration of large-scale renewable energy. The in-depth interdependence of cyber and physical spaces leads to more complicated external environments for such cyber-physical power systems (CPPSs) and brings great challenges to the resilience of CPPSs. A resilient CPS imposes strict requirements for its ability to cope with high-impact, low-probability cyber-physical disturbances. To better study the vulnerability and resilience of CPPSs, several representative blackouts from the past two decades are reviewed from the cyber-physical perspective. Inspired by general system theory, this study offers a framework with three key features of a CPPS and presents the three-layer interdependences from facilities to functions. The differences between CPPS resilience and conventional power system resilience are also emphasized. Thereafter, the study discusses the influence of cyber-physical disturbances from natural hazards, cyberattacks, and human-in-the-loop on the resilience of CPPSs. Accordingly, a survey of the state-of-the-art resilience-oriented techniques for CPPS in the face of natural hazards is organized based on quantitative metrics as well as planning and operation attributes. Regarding the resilience against cyberattacks, relevant cutting-edge research is reviewed in terms of prevention, detection, and mitigation strategies. Furthermore, from the cyber-physical-social perspective, the exploitation of social behaviors to inform the design of the physical system and the cyber system to ultimately enhance the resilience of CPPSs is also studied. Based on the findings from this research, the remaining challenges and the broad prospects of cyber-physical resilience enhancement techniques are also discussed. • A CPPS has three-layer interdependences on facilities, topologies, and functions. • External environments consist of hazards, cyberattacks, and human behaviors. • Resilience-oriented techniques for CPPSs in three categories are reviewed. • Cyber-physical collaborative techniques have broad prospects. [ABSTRACT FROM AUTHOR]

This paper solves the vehicle assignment problem of an operating entity with dispatchable vehicles (e.g., an urban Integrated Energy-Traffic System (IETS) coordinator or an e-hailing company) in the context of energy-traffic coordinated modeling and analysis. Current research on electric vehicle (EV) scheduling and optimization has broadly assumed that human beings are rational decision-makers and obey the scheduling plan. In contrast, we proposed a user-centric dynamic pricing scheme that improves the system performance by incentivizing human participants to follow the expected behavioral patterns from a Cyber-Physical-Human System (CPHS) perspective. The interdisciplinary fields of power systems, traffic systems, and human decision-making were used to study the interactions in the CPHS. The proposed incentive scheme was applied to the urban IETS scenarios based on real-world Global Positioning System (GPS) data of EV taxis, and the results showed that it effectively optimized the integrated system. • Dynamic pricing scheme proposed for dispatching electric vehicles in an urban area. • Proposed scheme combines energy and traffic systems. • Unlike current research, human users are not assumed to be rational. • Proposed scheme incentivizes users to follow expected behavioral patterns. • Proposed scheme applied to real-world EV taxi data for validation. [ABSTRACT FROM AUTHOR]

The increasing penetration of electric vehicles is tightly coupling the operation of power and transportation systems. The representation of the dynamics of network flows in response to real-time information and control strategies is a problem of considerable practical significance. However, most of work considers static network models that are only suitable for long-term planning horizons. This paper seeks to develop an integrated modeling framework for the real-time analysis and operation of the coupled systems. In particular, a dynamic traffic assignment model is exploited to account for the time-varying travel demand and flow dynamics. An accelerated diagonalization algorithm is proposed to compute the traffic flows in an efficient manner. Moreover, we show that the equilibrium flow pattern of the coupled systems can be characterized by a fixed-point problem, thus motivating a decentralized approach to attain the flow solutions. Numerical studies demonstrate both the spatial and temporal interconnections between the power and traffic flows. The comparison of network flow solutions based on the dynamic, semi-dynamic and static transportation network models is presented. • An integrated modeling framework for real-time analysis and management of the coupled power and transportation systems. • A dynamic traffic assignment model to represent the time-varying travel demand and flow dynamics. • A decentralized approach to attain the equilibrium flow solutions. • An accelerated diagonalization algorithm to solve the dynamic traffic flows efficiently. • Comparison of the network flow solutions based on the dynamic, semi-dynamic and static traffic assignment models. [ABSTRACT FROM AUTHOR]