Verification of an Adaptive Excitation Regulator on a Power System Physical Model

1996 ◽  
Vol 29 (1) ◽  
pp. 7029-7034
Author(s):  
O.P. Malik ◽  
V.A. Stroev ◽  
V.A. Strobel ◽  
G.C. Hancock ◽  
S. Yu Syromyatnikov
Keyword(s):  
Power System ◽  
Physical Model ◽  
Excitation Regulator

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.

Study Based on TMS320F2812 Synchronous Generator Field Regulator

2012 ◽  
Vol 214 ◽  
pp. 531-533
Author(s):  
Zhi Tian Zhang ◽  
Xiao Ping Shi ◽  
Xiao Ling Shi
Keyword(s):  
Power System ◽  
Digital Signal Processor ◽  
Digital Signal ◽  
Synchronous Generator ◽  
Synchronous Motor ◽  
Self Monitoring ◽  
Proposed Regulation ◽  
Digital Excitation ◽  
Regulation Model ◽  
Excitation Regulator

This paper introduces the research on the Excitation Regulator of the Synchronous Generator with dual CPUs, based on Digital Signal Processor (TMS320LF2812). With the multiple functions of monitoring, analysis, controlling and protection, it overcomes the shortage of the domestic excitation device in terms of self-monitoring and self-protection，which effectively improves device reliability. By analyzing the allocation of reactive load of the interconnected Synchronous Motor group, the modeling and simulation of the digital excitation regulator in the power system are illustrated in the paper. The results of the simulation show that the proposed regulation model are feasible, satisfying various running demands of the Synchronous Motor and Power System.

Experimental studies with power system stabilizers on a physical model of a multimachine power system

1996 ◽  
Vol 11 (2) ◽  
pp. 807-812 ◽  
Author(s):  
O.P. Malik ◽  
V.A. Stroev ◽  
V.A. Shtrobel ◽  
G.C. Hancock ◽  
R.S. Beim
Keyword(s):  
Power System ◽  
Physical Model ◽  
Experimental Studies ◽  
Power System Stabilizers

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.

Two-level state estimation for large power system. Part 1: Algorithms

1988 ◽  
Vol 135 (4) ◽  
pp. 299 ◽  
Author(s):  
K.L. Lo ◽  
M.M. Salem ◽  
R.D. McColl ◽  
A.M. Moffatt
Keyword(s):  
Power System ◽  
State Estimation ◽  
Large Power ◽  
System Part
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