A Modeling Framework to Support Resilient Evolution Planning of Smart Grids

Tomasso Zoppi; Sanford Bessler; Andrea Ceccarelli; Edward Lambert; Eng Tseng Lau; Alexandr Vasenev

doi:10.1007/978-3-319-61813-5_23

A Modeling Framework to Support Resilient Evolution Planning of Smart Grids

Tomasso Zoppi, Sanford Bessler, Andrea Ceccarelli, Edward Lambert, Eng Tseng Lau, Alexandr Vasenev

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

2 Citations (Scopus)

203 Downloads (Pure)

Abstract

Cyber security is becoming more and more relevant with the advent of large-scale systems made of independent and autonomous constituent systems that interoperate to achieve complex goals. To ensure security of cyber-physical systems, it is important to analyze identified threats and their possible consequences. In case of smart grids as an example of a complex system, threats can result in power outages that damage the continuous supply of energy that is required from critical infrastructures. Therefore, city planners must take into account security requirements when organizing the power grid, including demand-side management techniques able to mitigate the adverse effects of outages, ultimately improving grid resilience. This paper presents a modeling framework developed within the IRENE project that brings together methodologies, policies and a toolset to evaluate and measure the resilience of the targeted smart grid. This will support stakeholders and city planners in their activities, specifically the resilient evolution planning of Smart Grids.

Original language	English
Title of host publication	Smart Grid Inspired Future Technologies
Subtitle of host publication	Second EAI International Conference, SmartGIFT 2017, London, UK, March 27–28, 2017, Proceedings
Editors	Eng Tseng Lau, Michael K.K. Chai, Yue Chen, Oliver Jung, Victor C.M. Leung, Kun Yang, Sandford Bessler, Jonathan Loo, Tomonori Nakayama
Publisher	Springer
Pages	233-242
Number of pages	10
ISBN (Electronic)	978-3-319-61813-5
ISBN (Print)	978-3-319-61812-8
DOIs	https://doi.org/10.1007/978-3-319-61813-5_23
Publication status	Published - 2017
Event	2nd EAI International Conference on Smart Grid Inspired Future, SmartGIFT 2017 - London, United Kingdom Duration: 27 Mar 2017 → 28 Mar 2017 Conference number: 2 http://smartgiftconf.org/2017/

Workshop

Workshop	2nd EAI International Conference on Smart Grid Inspired Future, SmartGIFT 2017
Abbreviated title	SmartGIFT
Country/Territory	United Kingdom
City	London
Period	27/03/17 → 28/03/17
Internet address	http://smartgiftconf.org/2017/

Keywords

Smart grids
SCS-Cybersecurity
Evolution
City planning
Demand side management
IRENE
Resilience
Power Flow equations
Threat analysis

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-319-61813-5_23

Zoppi2016psychologicalSubmitted version, 1.05 MB

Cite this

Zoppi, T., Bessler, S., Ceccarelli, A., Lambert, E., Tseng Lau, E., & Vasenev, A. (2017). A Modeling Framework to Support Resilient Evolution Planning of Smart Grids. In E. T. Lau, M. K. K. Chai, Y. Chen, O. Jung, V. C. M. Leung, K. Yang, S. Bessler, J. Loo, & T. Nakayama (Eds.), Smart Grid Inspired Future Technologies: Second EAI International Conference, SmartGIFT 2017, London, UK, March 27–28, 2017, Proceedings (pp. 233-242). Springer. https://doi.org/10.1007/978-3-319-61813-5_23

Zoppi, Tomasso ; Bessler, Sanford ; Ceccarelli, Andrea et al. / A Modeling Framework to Support Resilient Evolution Planning of Smart Grids. Smart Grid Inspired Future Technologies: Second EAI International Conference, SmartGIFT 2017, London, UK, March 27–28, 2017, Proceedings. editor / Eng Tseng Lau ; Michael K.K. Chai ; Yue Chen ; Oliver Jung ; Victor C.M. Leung ; Kun Yang ; Sandford Bessler ; Jonathan Loo ; Tomonori Nakayama. Springer, 2017. pp. 233-242

@inproceedings{a4e127c4e3d5439391e987ade7838056,

title = "A Modeling Framework to Support Resilient Evolution Planning of Smart Grids",

abstract = "Cyber security is becoming more and more relevant with the advent of large-scale systems made of independent and autonomous constituent systems that interoperate to achieve complex goals. To ensure security of cyber-physical systems, it is important to analyze identified threats and their possible consequences. In case of smart grids as an example of a complex system, threats can result in power outages that damage the continuous supply of energy that is required from critical infrastructures. Therefore, city planners must take into account security requirements when organizing the power grid, including demand-side management techniques able to mitigate the adverse effects of outages, ultimately improving grid resilience. This paper presents a modeling framework developed within the IRENE project that brings together methodologies, policies and a toolset to evaluate and measure the resilience of the targeted smart grid. This will support stakeholders and city planners in their activities, specifically the resilient evolution planning of Smart Grids.",

keywords = "Smart grids, SCS-Cybersecurity, Evolution, City planning, Demand side management, IRENE, Resilience, Power Flow equations, Threat analysis",

author = "Tomasso Zoppi and Sanford Bessler and Andrea Ceccarelli and Edward Lambert and {Tseng Lau}, Eng and Alexandr Vasenev",

year = "2017",

doi = "10.1007/978-3-319-61813-5_23",

language = "English",

isbn = "978-3-319-61812-8",

pages = "233--242",

editor = "Lau, {Eng Tseng} and Chai, {Michael K.K.} and Yue Chen and Oliver Jung and Leung, {Victor C.M.} and Kun Yang and Sandford Bessler and Jonathan Loo and Tomonori Nakayama",

booktitle = "Smart Grid Inspired Future Technologies",

publisher = "Springer",

address = "Germany",

note = "2nd EAI International Conference on Smart Grid Inspired Future, SmartGIFT 2017, SmartGIFT ; Conference date: 27-03-2017 Through 28-03-2017",

url = "http://smartgiftconf.org/2017/",

}

Zoppi, T, Bessler, S, Ceccarelli, A, Lambert, E, Tseng Lau, E & Vasenev, A 2017, A Modeling Framework to Support Resilient Evolution Planning of Smart Grids. in ET Lau, MKK Chai, Y Chen, O Jung, VCM Leung, K Yang, S Bessler, J Loo & T Nakayama (eds), Smart Grid Inspired Future Technologies: Second EAI International Conference, SmartGIFT 2017, London, UK, March 27–28, 2017, Proceedings. Springer, pp. 233-242, 2nd EAI International Conference on Smart Grid Inspired Future, SmartGIFT 2017, London, United Kingdom, 27/03/17. https://doi.org/10.1007/978-3-319-61813-5_23

A Modeling Framework to Support Resilient Evolution Planning of Smart Grids. / Zoppi, Tomasso; Bessler, Sanford; Ceccarelli, Andrea et al.
Smart Grid Inspired Future Technologies: Second EAI International Conference, SmartGIFT 2017, London, UK, March 27–28, 2017, Proceedings. ed. / Eng Tseng Lau; Michael K.K. Chai; Yue Chen; Oliver Jung; Victor C.M. Leung; Kun Yang; Sandford Bessler; Jonathan Loo; Tomonori Nakayama. Springer, 2017. p. 233-242.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - A Modeling Framework to Support Resilient Evolution Planning of Smart Grids

AU - Zoppi, Tomasso

AU - Bessler, Sanford

AU - Ceccarelli, Andrea

AU - Lambert, Edward

AU - Tseng Lau, Eng

AU - Vasenev, Alexandr

N1 - Conference code: 2

PY - 2017

Y1 - 2017

N2 - Cyber security is becoming more and more relevant with the advent of large-scale systems made of independent and autonomous constituent systems that interoperate to achieve complex goals. To ensure security of cyber-physical systems, it is important to analyze identified threats and their possible consequences. In case of smart grids as an example of a complex system, threats can result in power outages that damage the continuous supply of energy that is required from critical infrastructures. Therefore, city planners must take into account security requirements when organizing the power grid, including demand-side management techniques able to mitigate the adverse effects of outages, ultimately improving grid resilience. This paper presents a modeling framework developed within the IRENE project that brings together methodologies, policies and a toolset to evaluate and measure the resilience of the targeted smart grid. This will support stakeholders and city planners in their activities, specifically the resilient evolution planning of Smart Grids.

AB - Cyber security is becoming more and more relevant with the advent of large-scale systems made of independent and autonomous constituent systems that interoperate to achieve complex goals. To ensure security of cyber-physical systems, it is important to analyze identified threats and their possible consequences. In case of smart grids as an example of a complex system, threats can result in power outages that damage the continuous supply of energy that is required from critical infrastructures. Therefore, city planners must take into account security requirements when organizing the power grid, including demand-side management techniques able to mitigate the adverse effects of outages, ultimately improving grid resilience. This paper presents a modeling framework developed within the IRENE project that brings together methodologies, policies and a toolset to evaluate and measure the resilience of the targeted smart grid. This will support stakeholders and city planners in their activities, specifically the resilient evolution planning of Smart Grids.

KW - Smart grids

KW - SCS-Cybersecurity

KW - Evolution

KW - City planning

KW - Demand side management

KW - IRENE

KW - Resilience

KW - Power Flow equations

KW - Threat analysis

U2 - 10.1007/978-3-319-61813-5_23

DO - 10.1007/978-3-319-61813-5_23

M3 - Conference contribution

SN - 978-3-319-61812-8

SP - 233

EP - 242

BT - Smart Grid Inspired Future Technologies

A2 - Lau, Eng Tseng

A2 - Chai, Michael K.K.

A2 - Chen, Yue

A2 - Jung, Oliver

A2 - Leung, Victor C.M.

A2 - Yang, Kun

A2 - Bessler, Sandford

A2 - Loo, Jonathan

A2 - Nakayama, Tomonori

PB - Springer

T2 - 2nd EAI International Conference on Smart Grid Inspired Future, SmartGIFT 2017

Y2 - 27 March 2017 through 28 March 2017

ER -

Zoppi T, Bessler S, Ceccarelli A, Lambert E, Tseng Lau E, Vasenev A. A Modeling Framework to Support Resilient Evolution Planning of Smart Grids. In Lau ET, Chai MKK, Chen Y, Jung O, Leung VCM, Yang K, Bessler S, Loo J, Nakayama T, editors, Smart Grid Inspired Future Technologies: Second EAI International Conference, SmartGIFT 2017, London, UK, March 27–28, 2017, Proceedings. Springer. 2017. p. 233-242 doi: 10.1007/978-3-319-61813-5_23

A Modeling Framework to Support Resilient Evolution Planning of Smart Grids

Abstract

Workshop

Keywords

UN SDGs

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