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
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