scholarly journals Modeling and assessing cyber resilience of smart grid using Bayesian network-based approach: a system of systems problem

2020 ◽  
Vol 7 (3) ◽  
pp. 352-366
Author(s):  
Niamat Ullah Ibne Hossain ◽  
Morteza Nagahi ◽  
Raed Jaradat ◽  
Chiranjibi Shah ◽  
Randy Buchanan ◽  
...  
Keyword(s):  
Smart Grid ◽  
Power System ◽  
Bayesian Network ◽  
Electric Power ◽  
New Technologies ◽  
System Of Systems ◽  
Cyber Attacks ◽  
Electric Power System ◽  
Grid System ◽  
Smart Grid System

Abstract Due to the widespread of new technologies, the modern electric power system has become much more complex and uncertain. The Integration of technologies in the electric power system has increased the exposure of cyber threats and correlative susceptibilities from malicious cyber-attacks. To better address these cyber risks and minimize the effects of the power system outage, this research identifies the potential causes and mitigation techniques for the smart grid (SG) and assesses the overall cyber resilience of smart grid systems using a Bayesian network approach. Bayesian network is a powerful analytical tool predominantly used in risk, reliability, and resilience assessment under uncertainty. The quantification of the model is examined, and the results are analyzed through different advanced techniques such as predictive inference reasoning and sensitivity analysis. Different scenarios have been developed and analyzed to identify critical variables that are susceptible to the cyber resilience of a smart grid system of systems. Insight drawn from these analyses suggests that overall cyber resilience of the SG system of systems is dependent upon the status of identified factors, and more attention should be directed towards developing the countermeasures against access domain vulnerability. The research also shows the efficacy of a Bayesian network to assess and enhance the overall cyber resilience of the smart grid system of systems.

Smart Grid Technology Is Analysed for the Influence of the Electric Power System Planning

2015 ◽  
Vol 734 ◽  
pp. 688-691
Author(s):  
Ji Yao ◽  
Zhi Qiang Du
Keyword(s):  
Smart Grid ◽  
Power System ◽  
Electric Power ◽  
Power Grid ◽  
Electric Power System ◽  
Stable Operation ◽  
Grid Technology ◽  
Grid System ◽  
Electricity Grid ◽  
Power Grid Planning

Based on the smart grid connected to the electricity grid system as the research object, from the development of electric technology and intelligent power grid planning of power system significance and influence of these two aspects, the work can only be connected to the electric power system grid technology has carried on the detailed analysis and elaboration, and thus demonstrates the do a good job for the whole power grid system stable operation and the role and impact of long-term development.

scholarly journals A Research on Power Quality Enhancement and Energy Management of Solar-Wind Hybrid Smart Grid System

2019 ◽  
Vol 9 (1) ◽  
pp. 6868-6870
Keyword(s):  
Solar Wind ◽  
Smart Grid ◽  
Power System ◽  
Power Quality ◽  
Electrical Energy ◽  
Energy System ◽  
Grid System ◽  
Hybrid Renewable Energy System ◽  
Smart Grid System ◽  
Micro Grids

A solar-wind hybrid system plays a key role in power generation and becomes very important role to smart grid power systems. Also, the wind-solar hybrid energy storage control systems in coordination of energy markets, made economical to the electrical power system power system. Hybrid renewable energy system connected micro-grid consists of significant identification; in view of solve the rising electrical energy demand. In addition to this the problem of harmonic distortion in micro-grids due to the non-linear loads is an indispensable topic of study. Also, it is very significant for the better understanding of the power quality impacts in micro-grids. This paper presents detail analysis of different control techniques for optimization of harmonics in smart grid system and enhancement in power quality of the smart grid system. The performance of the control system is verified through the MATLAB simulation of the hybrid solar-wind electrical energy system.

The Brittleness Source Identification of Electric Grid System

2013 ◽  
Vol 798-799 ◽  
pp. 353-356
Author(s):  
Ai Hua Xu ◽  
Chen Guang Xue ◽  
Jian Jun Xu
Keyword(s):  
Power System ◽  
Electric Power ◽  
Direct Current ◽  
Source Identification ◽  
Electric Power System ◽  
The Other ◽  
Grid System ◽  
Electric Grid ◽  
Factor Method

Brittleness source identification is the work of finding every brittle source. At first, build model of electric power system, based on direct current tide, all branch currents can be solved quickly. Break off every branch in turn. Use distributing factor method to obtain the other branch currents by breaking a branch current. If the other branch current exceeds the 20% rating current, then it breaks. This will lead to the refresh distribution, until all branch breaks, namely the brittleness being motivated, or until the other branch currents all satisfy the restriction condition. Thus all branches which lead brittleness to be motivated is the brittle source of electric power system. Through analyzing a three generatrixs system, obtain that (2),(3) and (4) is the brittle source.

scholarly journals GridAttackSim: A Cyber Attack Simulation Framework for Smart Grids

Electronics ◽  
2020 ◽  
Vol 9 (8) ◽  
pp. 1218
Author(s):  
Tan Duy Le ◽  
Adnan Anwar ◽  
Seng W. Loke ◽  
Razvan Beuran ◽  
Yasuo Tan
Keyword(s):  
Smart Grid ◽  
Communication Networks ◽  
Smart Grids ◽  
Cyber Attacks ◽  
Cyber Attack ◽  
Grid System ◽  
Simulation Framework ◽  
Grid Security ◽  
Smart Grid Security ◽  
Smart Grid System

The smart grid system is one of the key infrastructures required to sustain our future society. It is a complex system that comprises two independent parts: power grids and communication networks. There have been several cyber attacks on smart grid systems in recent years that have caused significant consequences. Therefore, cybersecurity training specific to the smart grid system is essential in order to handle these security issues adequately. Unfortunately, concepts related to automation, ICT, smart grids, and other physical sectors are typically not covered by conventional training and education methods. These cybersecurity experiences can be achieved by conducting training using a smart grid co-simulation, which is the integration of at least two simulation models. However, there has been little effort to research attack simulation tools for smart grids. In this research, we first review the existing research in the field, and then propose a smart grid attack co-simulation framework called GridAttackSim based on the combination of GridLAB-D, ns-3, and FNCS. The proposed architecture allows us to simulate smart grid infrastructure features with various cybersecurity attacks and then visualize their consequences automatically. Furthermore, the simulator not only features a set of built-in attack profiles but also enables scientists and electric utilities interested in improving smart grid security to design new ones. Case studies were conducted to validate the key functionalities of the proposed framework. The simulation results are supported by relevant works in the field, and the system can potentially be deployed for cybersecurity training and research.

scholarly journals IGNORE: A Policy Server to Prevent Cyber-Attacks from Propagating to the Physical Domain

2020 ◽  
Vol 10 (18) ◽  
pp. 6236
Author(s):  
Yatin Wadhawan ◽  
Clifford Neuman ◽  
Anas AlMajali
Keyword(s):  
Smart Grid ◽  
Physical System ◽  
Cyber Attacks ◽  
Security Policies ◽  
Grid System ◽  
Underlying Principle ◽  
Safety Property ◽  
Level Function ◽  
Safety Constraints ◽  
Smart Grid System

We present the intelligent governor for the smart grid system (IGNORE) to limit the success of attacks when a grid’s cyber system has been compromised and leveraged by an adversary to mount attacks on the physical system. IGNORE is based on the concept of the security reference monitor. It is a component that serves to protect a system from attacks that are more severe and frequent than is acceptable by enforcing security policies on the actions of the system’s higher-level functions. It enforces security and safety policies by ignoring commands issued by a system’s higher-level functions if by executing those commands may cause violations of its security and safety constraints. The underlying principle for generating security policies is the requirement and safety property that evaluates whether commands issued by a cyber system are required and safe in/for the physical system. Our key contribution is to present the methodology to design a governor for a grid’s higher-level function, that is, demand response. We define a set of attacks prevented by the governor, a set of rules that define the governor, and demonstrate its effectiveness through empirical results. This work sheds light upon how a higher-level functionality of a smart grid system is protected by analyzing the system’s cyber and physical aspects even when some parts of the cyber system are compromised.

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