A Modeling Framework to Support Resilient Evolution Planning of Smart Grids

被引:0
|
作者
Zoppi, Tommaso [1 ]
Bessler, Sandford [2 ]
Ceccarelli, Andrea [1 ]
Lambert, Edward [3 ]
Lau, Eng Tseng [4 ]
Vasenev, Alexandr [5 ]
机构
[1] Univ Florence, Viale Morgagni 65, Florence, Italy
[2] Austrian Inst Technol, Donau City Str 1, A-1220 Vienna, Austria
[3] EthosVO Ltd, Beech Rd, Merstham RH1 3AE, Surrey, England
[4] Queen Mary Univ London, Mile End, London E14 NS, England
[5] Univ Twente, Drienerlolaan 5, NL-7522 NB Enschede, Netherlands
来源
关键词
Threat analysis; Smart grids; Evolution; Resilience; City Planning; Power flow equations; Demand side management; IRENE;
D O I
10.1007/978-3-319-61813-5_23
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:233 / 242
页数:10
相关论文
共 50 条
  • [31] An Adaptive Resilient Load Frequency Controller for Smart Grids With DoS Attacks
    Lu, Kang-Di
    Zeng, Guo-Qiang
    Luo, Xizhao
    Weng, Jian
    Zhang, Yue
    Li, Ming
    [J]. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2020, 69 (05) : 4689 - 4699
  • [32] Resilient distributed economic dispatch of smart grids under deception attacks
    Zheng Wang
    Guo Chen
    Zhao Yang Dong
    [J]. Nonlinear Dynamics, 2024, 112 : 5421 - 5438
  • [33] FaultGuard: A Generative Approach to Resilient Fault Prediction in Smart Electrical Grids
    Efatinasab, Emad
    Marchiori, Francesco
    Brighente, Alessandro
    Rampazzo, Mirco
    Conti, Mauro
    [J]. DETECTION OF INTRUSIONS AND MALWARE, AND VULNERABILITY ASSESSMENT, DIMVA 2024, 2024, 14828 : 503 - 524
  • [34] Resilient distributed economic dispatch of smart grids under deception attacks
    Wang, Zheng
    Chen, Guo
    Dong, Zhao Yang
    [J]. NONLINEAR DYNAMICS, 2024, 112 (07) : 5421 - 5438
  • [35] A Distributed Middleware Architecture for Attack-Resilient Communications in Smart Grids
    Wu, Yifu
    Wei, Jin
    Hodge, Bri-Mathias
    [J]. 2017 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2017,
  • [36] Modeling of resilient support of a dental prosthesis
    Kuchta, Marek
    Wnuk, Marian
    [J]. PRZEGLAD ELEKTROTECHNICZNY, 2010, 86 (12): : 79 - 82
  • [37] Energy Management Concepts for the Evolution of Smart Grids
    Campagna, N.
    Caruso, M.
    Castiglia, V
    Miceli, R.
    Viola, F.
    [J]. 8TH INTERNATIONAL CONFERENCE ON SMART GRID (ICSMARTGRID2020), 2020, : 208 - 213
  • [38] Evolution of Conventional Power Systems to Smart Grids
    Salman, Salman K.
    [J]. 2019 54TH INTERNATIONAL UNIVERSITIES POWER ENGINEERING CONFERENCE (UPEC), 2019,
  • [39] Energy meters evolution in smart grids: A review
    Avancini, Danielly B.
    Rodrigues, Joel J. P. C.
    Martins, Simion G. B.
    Rabelo, Ricardo A. L.
    Al-Muhtadi, Jalal
    Solic, Petar
    [J]. JOURNAL OF CLEANER PRODUCTION, 2019, 217 : 702 - 715
  • [40] Smart cities and climate-resilient urban planning
    Sharifi, Ayyoob
    Yamagata, Yoshiki
    [J]. ENVIRONMENT AND PLANNING B-URBAN ANALYTICS AND CITY SCIENCE, 2022, 49 (05) : 1347 - 1353