Cyber Insurance Against Cyberattacks on Electric Vehicle Charging Stations

Mieth, Robert; Konstantinou, Charalambos; Karri, Ramesh; Dvorkin, Yury

doi:10.1109/tsg.2021.3133536

Cited by 23 publications

(8 citation statements)

References 36 publications

(58 reference statements)

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“…The MUE flow led by drivers' self-interested behaviors is most unlikely consistent with the optimal traffic flow in (16).…”

Section: E Tolls That Lead the System Towards A Social Optimummentioning

confidence: 96%

“…, the solution of the MUE with these travel costs ([] aa  MC ) will produce an optimal flow pattern in (16), which is equivalent to the solution of a user equilibrium problem with imposed tolls a . Thus, the congestion pricing scheme can be obtained by solving the optimization problem (16).…”

Section: ) This Indicates That If a Tollmentioning

confidence: 99%

“…In practice, regulating traffic and power flow can realize the social optimum of PTCNs, which is usually achieved by price making [14]. Instead of considering prices as static [8]- [10], a number of studies treated the prices for the EV drivers as either the locational marginal price (LMP) [6], [15], [16] or the retail price [17], [18]. Furthermore, [19], [20] investigated the road pricing mechanism for managing road congestion and routing individual drivers to improve social welfare.…”

Section: Introductionmentioning

confidence: 99%

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Collaborative Pricing in a Power-Transportation Coupled Network: A Variational Inequality Approach

Xie

Hatziargyriou

et al. 2023

IEEE Trans. Power Syst.

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This paper proposes a new collaborative pricing scheme for a power-transportation coupled network based on the variational inequality (VI) approach. In the proposed scheme, nodal electricity prices and congestion tolls on roads and at charging stations are considered to coordinate the coupled networks in order to minimize the operational cost of the whole system. The prices are determined by a second-order cone-based AC power flow model and a mixed user equilibrium model, respectively. A collaborative pricing model (CPM) is then built based on the two models and the interactions between them. In order to avoid the intractability of the developed non-convex model, the CPM is transformed into the VI formulation. With proven existence and uniqueness of solutions of the VI formulation, a new prediction-correction algorithm is proposed to accelerate the solution of the CPM problem, which is guaranteed to converge to the optimal solution. The proposed models and algorithm are verified using case studies on a realworld test system. The results show that the proposed pricing scheme can reduce the operational cost and the proposed algorithm shows improved convergence and higher computation efficiency compared with the existing algorithms.

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“…The MUE flow led by drivers' self-interested behaviors is most unlikely consistent with the optimal traffic flow in (16).…”

Section: E Tolls That Lead the System Towards A Social Optimummentioning

confidence: 96%

Section: ) This Indicates That If a Tollmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Collaborative Pricing in a Power-Transportation Coupled Network: A Variational Inequality Approach

Xie

Hatziargyriou

et al. 2023

IEEE Trans. Power Syst.

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“…increased load demand, power quality issues, etc. ), can also inflict considerable financial losses on electric power utilities [104]. Similarly, sensitive user information (e.g., identity, location, payment information, etc.)…”

Section: B Der Device Levelmentioning

confidence: 99%

“…The importance of cyber insurance against cyberattacks on EVCS has also been highlighted by researchers. In [104], the authors demonstrate that defense mechanisms and cyber insurance policies can effectively reduce the financial impacts of cyberattacks and curtail insurance premiums for the entities that manage EVCS.…”

Section: B Der Device Levelmentioning

confidence: 99%

Distributed Energy Resources Cybersecurity Outlook: Vulnerabilities, Attacks, Impacts, and Mitigations

Zografopoulos¹,

Konstantinou²,

Hatziargyriou³

2022

Preprint

Self Cite

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The digitalization and decentralization of the electric power grid are key thrusts towards an economically and environmentally sustainable future. Towards this goal, distributed energy resources (DER), including rooftop solar panels, battery storage, electric vehicles, etc., are becoming ubiquitous in power systems, effectively replacing fossil-fuel based generation. Power utilities benefit from DERs as they minimize transmission costs, provide voltage support through ancillary services, and reduce operational risks via their autonomous operation. Similarly, DERs grant users and aggregators control over the power they produce and consume. Apart from their sustainability and operational objectives, the cybersecurity of DER-supported power systems is of cardinal importance. DERs are interconnected, interoperable, and support remotely controllable features, thus, their cybersecurity should be thoroughly considered. DER communication dependencies and the diversity of DER architectures (e.g., hardware/software components of embedded devices, inverters, controllable loads, etc.) widen the threat surface and aggravate the cybersecurity posture of power systems. In this work, we focus on security oversights that reside in the cyber and physical layers of DERs and can jeopardize grid operations. We analyze adversarial capabilities and objectives when manipulating DER assets, and then present how protocol and device -level vulnerabilities can materialize into cyberattacks impacting power system operations. Finally, we provide mitigation strategies to thwart adversaries and directions for future DER cybersecurity.

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Electricity Markets and Power Supply Resilience: an Incisive Review

Shittu

Santos

2021

Curr Sustainable Renewable Energy Rep

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Cyber Insurance Against Cyberattacks on Electric Vehicle Charging Stations

Cited by 23 publications

References 36 publications

Collaborative Pricing in a Power-Transportation Coupled Network: A Variational Inequality Approach

Collaborative Pricing in a Power-Transportation Coupled Network: A Variational Inequality Approach

Distributed Energy Resources Cybersecurity Outlook: Vulnerabilities, Attacks, Impacts, and Mitigations

Electricity Markets and Power Supply Resilience: an Incisive Review

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