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
  • [21] Planning and Designing Smart Grids: Philosophical Considerations
    Ribeiro, P. F.
    Polinder, H.
    Verkerk, M. J.
    [J]. IEEE TECHNOLOGY AND SOCIETY MAGAZINE, 2012, 31 (03) : 34 - 43
  • [22] Planning and Scheduling for Optimizing Communication in Smart Grids
    Kadlec, Miroslav
    Buhnova, Barbora
    Pitner, Tomas
    [J]. ENVIRONMENTAL SOFTWARE SYSTEMS: COMPUTER SCIENCE FOR ENVIRONMENTAL PROTECTION, 2017, 507 : 446 - 456
  • [23] A Smart Decision Support Framework for Sustainable and Resilient Supplier Selection and Order Allocation in the Pharmaceutical Industry
    Kayani, Saheeb Ahmed
    Warsi, Salman Sagheer
    Liaqait, Raja Awais
    [J]. SUSTAINABILITY, 2023, 15 (07)
  • [24] Demand Dispatch Framework for Smart Distribution Grids
    Arghira, Nicoleta
    Stamatescu, Iulia
    Fagarasan, Ioana
    Stamatescu, Grigore
    Calofir, Vasile
    Iliescu, Sergiu Stelian
    [J]. PROCEEDINGS OF THE 2017 12TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA), 2017, : 48 - 52
  • [25] A Decision Framework for Broker Selection in Smart Grids
    Haghpanah, Yasaman
    Ketter, Wolfgang
    desJardins, Marie
    van Dalen, Jan
    [J]. AGENT-MEDIATED ELECTRONIC COMMERCE: DESIGNING TRADING STRATEGIES AND MECHANISMS FOR ELECTRONIC MARKETS, AMEC AND TADA 2012, 2013, 136 : 61 - 74
  • [26] A Conceptual Framework for the Business Model of Smart Grids
    Sajjad, Intisar A.
    Napoli, Roberto
    Chicco, Gianfranco
    Martirano, Luigi
    [J]. 2016 IEEE 16TH INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING (EEEIC), 2016,
  • [27] Big data framework for analytics in smart grids
    Munshi, Amr A.
    Mohamed, Yasser A. -R. I.
    [J]. ELECTRIC POWER SYSTEMS RESEARCH, 2017, 151 : 369 - 380
  • [28] Framework for efficient energy trading in smart grids
    Petrovic, Nenad
    Kocic, Djordje
    [J]. 2019 27TH TELECOMMUNICATIONS FORUM (TELFOR 2019), 2019, : 703 - 706
  • [29] Survivability Analysis and Recovery Support for Smart Grids
    Alobaidi, Isam A.
    Sarvestani, Sahra Sedigh
    Hurson, Ali R.
    [J]. 2016 RESILIENCE WEEK (RWS), 2016, : 33 - 39
  • [30] Holonic Energy Management Systems: Towards Flexible and Resilient Smart Grids
    Taleb, Ihab
    Guerard, Guillaume
    Fauberteau, Frederic
    Nga Nguyen
    [J]. AGENTS AND ARTIFICIAL INTELLIGENCE, ICAART 2023, 2024, 14546 : 95 - 112