scholarly journals Physical-Model-Checking to Detect Switching-Related Attacks in Power Systems

Sensors ◽  
2018 ◽  
Vol 18 (8) ◽  
pp. 2478 ◽  
Author(s):  
Mohamad El Hariri ◽  
Samy Faddel ◽  
Osama Mohammed
Keyword(s):  
Model Checking ◽  
Intrusion Detection ◽  
Power Systems ◽  
Power System ◽  
Physical Model ◽  
Network Architecture ◽  
Load Flow ◽  
Rule Based ◽  
Network Intrusion ◽  
Public Disclosures

Recent public disclosures on attacks targeting the power industry showed that savvy attackers are now capable of occulting themselves from conventional rule-based network intrusion detection systems (IDS), bringing about serious threats. In order to leverage the work of rule-based IDS, this paper presents an artificially intelligent physical-model-checking intrusion detection framework capable of detecting tampered-with control commands from control centers of power grids. Unlike the work presented in the literature, the work in this paper utilizes artificial intelligence (AI) to learn the load flow characteristics of the power system and benefits from the fast responses of the AI to decode and understand contents of network packets. The output of the AI is processed through an expert system to verify that incoming control commands do not violate the physical system operational constraints and do not put the power system in an insecure state. The proposed content-aware IDS is tested in simulation on a 14-bus IEEE benchmark system. Experimental verification on a small power system, with an IEC 61850 network architecture is also carried out. The results showed the accuracy of the proposed framework in successfully detecting malicious and/or erroneous control commands.

scholarly journals Simulation of Incidental Distributed Generation Curtailment to Maximize the Integration of Renewable Energy Generation in Power Systems

Energies ◽  
2020 ◽  
Vol 13 (16) ◽  
pp. 4173 ◽  
Author(s):  
Ingo Liere-Netheler ◽  
Frank Schuldt ◽  
Karsten von Maydell ◽  
Carsten Agert
Keyword(s):  
Renewable Energy ◽  
Power Systems ◽  
Power System ◽  
Distributed Generation ◽  
System Integration ◽  
Best Practice ◽  
Flow Analysis ◽  
Real Data ◽  
Load Flow ◽  
Practical Implementation

Power system security is increasingly endangered due to novel power flow situations caused by the growing integration of distributed generation. Consequently, grid operators are forced to request the curtailment of distributed generators to ensure the compliance with operational limits more often. This research proposes a framework to simulate the incidental amount of renewable energy curtailment based on load flow analysis of the network. Real data from a 110 kV distribution network located in Germany are used to validate the proposed framework by implementing best practice curtailment approaches. Furthermore, novel operational concepts are investigated to improve the practical implementation of distributed generation curtailment. Specifically, smaller curtailment level increments, coordinated selection methods, and an extension of the n-1 security criterion are analyzed. Moreover, combinations of these concepts are considered to depict interdependencies between several operational aspects. The results quantify the potential of the proposed concepts to improve established grid operation practices by minimizing distributed generation curtailment and, thus, maximizing power system integration of renewable energies. In particular, the extension of the n-1 criterion offers significant potential to reduce curtailment by up to 94.8% through a more efficient utilization of grid capacities.

Network intrusion detection based on deep learning model optimized with rule-based hybrid feature selection

2020 ◽  
Vol 29 (6) ◽  
pp. 267-283
Author(s):  
Femi Emmanuel Ayo ◽  
Sakinat Oluwabukonla Folorunso ◽  
Adebayo A. Abayomi-Alli ◽  
Adebola Olayinka Adekunle ◽  
Joseph Bamidele Awotunde
Keyword(s):  
Feature Selection ◽  
Deep Learning ◽  
Intrusion Detection ◽  
Learning Model ◽  
Network Intrusion Detection ◽  
Rule Based ◽  
Network Intrusion ◽  
Deep Learning Model

scholarly journals A statistical jacobian application for power system optimization of voltage stability

2019 ◽  
Vol 13 (1) ◽  
pp. 331 ◽  
Author(s):  
Raja Masood Larik ◽  
Mohd. Wazir Mustafa ◽  
Manoj Kumar Panjwani
Keyword(s):  
Power Systems ◽  
Power System ◽  
Optimal Power Flow ◽  
Voltage Stability ◽  
Stability Margin ◽  
Singular Values ◽  
System Optimization ◽  
Load Flow ◽  
Voltage Collapse ◽  
Large Power

<p>Despite a tremendous development in optimal power flow (OPF), owing to the obvious complexity, non-linearity and unwieldy size of the large interconnected power systems, several problems remain unanswered in the existing methods of OPF. Seizing specific topics for maximizing voltage stability margin and its implementation, a detailed literature survey discussing the existing methods of solution and their drawbacks is presented in this research. The phenomenon of voltage collapse in power systems, methods to investigate voltage collapse, and methods related to voltage stability are briefly surveyed. Finally, the study presents a statistical method for analyzing a power system through eigenvalue analysis in relation to the singular values of the load flow Jacobian. Future study may focus on changes in theories in conjunction with large power systems.</p>

scholarly journals A study of the transient processes in the physical model of the electric power systems with predominant part of the renewable energy sources

2021 ◽  
Vol 286 ◽  
pp. 02009
Author(s):  
Ivaylo Nedelchev ◽  
Hristo Zhivomirov ◽  
Yoncho Kamenov
Keyword(s):  
Renewable Energy ◽  
Power Systems ◽  
Power System ◽  
Electric Power ◽  
Physical Model ◽  
Wind Power ◽  
Electric Power Systems ◽  
Electric Power System ◽  
Transient Processes ◽  
Energy Sources

The renewable energy take part in the most of the electric power systems in the modern world. The part of this type of energy in the global electric power system, as well as in the local scale, increases with the setting the stricter requirements for decreasing the level of the carbon dioxide emissions. This is the result of the newest international conventions and decision for saving the nature. By these conditions, the electric power systems are forced to work with more different types of energy sources: wind power, photovoltaic, biomass plants etc. Switching of such miscellaneous power sources, leads to complicated transient processes, which are developed due to specific electrical parameters, especially harmonic components, of the synchronous generators, photovoltaic and wind power plants. This paper represents data from measurements of the transient processes into the physical model of the electric power system with predominant part of renewable energy and assesses the applicability of the model. For conducting this study, the multichannel DAQ measurement system is used.

scholarly journals REDUCING SHORT CIRCUIT LEVELS BY USING SYSTEM SPLITTING STRATEGIES

2019 ◽  
Vol 11 (3) ◽  
pp. 309-331
Author(s):  
Assist. Prof. Dr. Inaam I. ALI ◽  
Mohanad Sh. Tarad AL-AASAM
Keyword(s):  
Power Systems ◽  
Power System ◽  
Large Scale ◽  
Short Circuit ◽  
Load Flow ◽  
Controlled Islanding ◽  
Power Stations ◽  
Stable Splitting ◽  
Three Phase ◽  
Proper Splitting

Preliminary studies on Iraqi power system show a significant increase in the short circuit level at some of the grid substations and some power stations. This increasing results from the growth of the power generation and transmission systems in size and complexity. Islanding or splitting is dividing the power system into several islands inorder to reduce short circuit levels and avoiding blackouts. The main islanding problem is determining the location of proper splitting points and load balance and satisfaction of transmission capacity constraints for each islands.This paper mainly introduces new proposed splitting strategies of large-scale power systems by using (PSS™E version 30.3 PACKAGE PROGRAME), such that, make re-interconnection of 400KV super high voltage substation based on three-phase load flow to be minimum flow at splitting point and infeed fault current details method to control short circuit levels in Iraq power system without islanding the power system into isolated islands. Controlled islanding or splitting scheme is frequently considered as the final solution to avoid blackouts of power system.Simulation IEEE-25 bus and Iraqi power system used as the test systems for this method. Furthermore, simulation results show significant effectiveness on reducing short circuit levels with same time give stable splitting islands with same frequency for preventing the system blackouts.

scholarly journals Load Flow Analysis in Hybrid AC-DC Transmission Network

2021 ◽  
pp. 617-624
Author(s):  
Ajith M ◽  
Dr. R. Rajeswari
Keyword(s):  
Power Systems ◽  
Power System ◽  
Transmission Lines ◽  
Power Flow ◽  
Reactive Power ◽  
Short Circuit ◽  
Flow Analysis ◽  
Load Flow ◽  
System Stability ◽  
And Control

Power-flow studies are of great significance in planning and designing the future expansion of power systems as well as in determining the best operation of existing systems. Technologies such as renewables and power electronics are aiding in power conversion and control, thus making the power system massive, complex, and dynamic. HVDC is being preferred due to limitations in HVAC such as reactive power loss, stability, current carrying capacity, operation and control. The HVDC system is being used for bulk power transmission over long distances with minimum losses using overhead transmission lines or submarine cable crossings. Recent years have witnessed an unprecedented growth in the number of the HVDC projects. Due to the vast size and inaccessibility of transmission systems, real time testing can prove to be difficult. Thus analyzing power system stability through computer modeling and simulation proves to be a viable solution in this case. The motivation of this project is to construct and analyze the load flow and short circuit behavior in an IEEE 14 bus power system with DC link using MATLAB software. This involves determining the parameters for converter transformer, rectifier, inverter and DC cable for modelling the DC link. The line chosen for incorporation of DC link is a weak bus. This project gives the results of load flow and along with comparison of reactive power flow, system losses, voltage in an AC and an AC-DC system.

Study of Intrusion Detection Based on Genetic Algorithm and Rule

2014 ◽  
Vol 602-605 ◽  
pp. 1797-1802
Author(s):  
Li Wen Xu ◽  
Li Juan Qiao ◽  
Xun Yong Ou ◽  
Kun Zhang
Keyword(s):  
Genetic Algorithm ◽  
Information Technology ◽  
Intrusion Detection ◽  
Maintenance Cost ◽  
Network Intrusion Detection ◽  
Technology Usage ◽  
Rule Based ◽  
Efficient Approach ◽  
Network Intrusion ◽  
High Level

The rapid increase of information technology usage demands the high level of security in order to keep the data resources and equipments of the user secure. In this current era of networks, there is an eventual stipulate for development which is consistent, extensible and easily manageable, with low maintenance cost solutions for Intrusion Detection. Network Intrusion Detection based on rules formulation is an efficient approach to classify various types of attack. DoS or Probing attack are relatively more common, and can be detected more accurately if contributing parameters are formulated in terms of rules. Genetic Algorithm is used to devise such rule. It is found that accuracy of rule based learning increases with the number of iteration.

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