scholarly journals A Sensor System for Detecting and Localizing Partial Discharges in Power Transformers with Improved Immunity to Interferences

Sensors ◽  
2019 ◽  
Vol 19 (4) ◽  
pp. 923 ◽  
Author(s):  
Petr Drexler ◽  
Martin Čáp ◽  
Pavel Fiala ◽  
Miloslav Steinbauer ◽  
Radim Kadlec ◽  
...  
Keyword(s):  
Signal Detection ◽  
Electromagnetic Interference ◽  
Power Plants ◽  
System Development ◽  
Power Transformers ◽  
Detection Methods ◽  
Technical Solution ◽  
Electromagnetic Disturbance ◽  
Real Time Visualization ◽  
Radiofrequency Sensor

The paper reports on the solution, principles, and application results related to a system for diagnosing main transformers in power plants via the radiofrequency method. The subject of the diagnostics is the occurrence of partial discharge activity in transformers. The technical solution of the system is characterized in the introductory section of the article. There then follows a description of the operating principle and the implemented novel advanced methods for signal detection and source localization. The results obtained from practical application of the system within the diagnostics of high-power transformers are presented as well. Because ambient electromagnetic disturbance was recognized as a major issue during the system development, novel detection methods were proposed, implemented, and verified. The principal approach utilizes an external radiofrequency sensor to detect outer impulse disturbance and to eliminate disturbance-triggered acquisitions, and it also ensures direct real-time visualization of the desired impulse signals. The ability of weak signal detection was verified via artificial impulse signal injection into the transformer. The developed detection methods were completed with localization techniques for signal source estimation. The desired impulse signal was detected and localized during full operation of the main transformer, despite the presence of strong electromagnetic interference.

scholarly journals MODERN METHODS FOR DETECTION OF UNMANNED AERIAL VEHICLES

2020 ◽  
Vol 12 (0) ◽  
pp. 1-6
Author(s):  
Tomas Jačionis
Keyword(s):  
Power Plants ◽  
Technology Development ◽  
System Development ◽  
Audio Signal ◽  
Video Tracking ◽  
Detection Methods ◽  
Future Perspective ◽  
Signature Analysis ◽  
Radio Frequency Spectrum ◽  
Technological Limitations

Most recent Unmanned Aerial Vehicle (UAV) detection methods are discussed in the article. Detection of UAV principles are pointed out during the overview. Brief advantages of each technique is covered and compared in between. Key technological limitations of each technique is pointed out and discussed. Several most recent and actual UAV threat accidents are presented with the indication of the used counter UAV systems. New upcoming threat of “Kamikaze” (selfdestructive) UAV and their detection limitations are presented. Case studies on the hybrid counter drone technology interactions are covered. In this article, important civil and military types of UAV propulsion are covered. Design features and future consumer demands, are analyzed, aiming at UAV components which are mandatory to perform a flight. Using recently published articles energy sources and thrust power plants are analyzed. UAV detection principles, that include audio signal signature analysis, aerial object video tracking, thermal heat signature analysis, radar systems, radio frequency spectrum and data packet communication detection are covered, pointing out their advantages and limitations. Conclusions are drawn taking into account future perspective of the UAV technology developments and upcoming future threats of the highest impact. Evaluation of most actual recent articles is made in order to overview weak points of the counter UAV system development techniques. Finally future UAV technology development is analyzed and main safety related threats are indicated. Slowly developing UAV components are indicated, putting more attention on possible UAV detection methods, where UAV mandatory components will not become obsolete.

scholarly journals Photovoltaic Power Plants as a Source of Electromagnetic Interference to Metallic Agricultural Pipelines

2013 ◽  
Vol 8 ◽  
pp. 192-199 ◽  
Author(s):  
Georgios C. Christoforidis ◽  
Theofilos A. Papadopoulos ◽  
Constantinos Parisses ◽  
Georgios E. Mantzaras
Keyword(s):  
Electromagnetic Interference ◽  
Power Plants ◽  
Photovoltaic Power

scholarly journals A Test Device for Optimize PMU-Based Islanding Detection Technology

2015 ◽  
Vol 10 (2) ◽  
Keyword(s):  
Power Systems ◽  
Power Plants ◽  
Detection Method ◽  
Detection Methods ◽  
Islanding Detection ◽  
Algorithm Optimization ◽  
Test Device ◽  
Photovoltaic Power ◽  
Detection Technology ◽  
Bulk Power

Islanding detection is a necessary function for grid connected distributed generators. Usually, islanding detection methods can be classified as two catalogues: remote detecting methods and local detecting methods. Most of them have limitation and defects when they are applied in photovoltaic power stations. Recently synchronous phasor measuring units (PMU) is proposed to be applied for islanding detecting. Although the islanding detection method is supposed to be applied for traditional bulk power systems, it is also suitable for renewable generation power plants. To do this islanding detection will be implemented on central management unit of photovoltaic power station instead of on grid-tied inverters as traditionally. In implementing, the criteria of this method and the threshold of algorithm are needed to be optimized. This paper develops a test device which can optimize PMU-based islanding detection technology to validate the proposed islanding detection method applying in PV station. Then using simulation to discuss how to set a reasonable threshold for the researched islanding detection method applied in PV stations. Finally the paper provides a platform for the algorithm optimization.

scholarly journals Overview of fault detection methods for power plant control systems purposes

2019 ◽  
pp. 127-129
Author(s):  
Dmytro Shram ◽  
Oleksandr Stepanets
Keyword(s):  
Fault Detection ◽  
Control Systems ◽  
Power Plants ◽  
Fault Detection And Isolation ◽  
Data Driven ◽  
Detection Methods ◽  
Model Free ◽  
Power Plant Control ◽  
Technical Details ◽  
Plant Control

The main objective of this paper is to review of fault detection and isolation (FDI) methods and applications on various power plants. Due to the focus of the topic, on model and model-free FDI methods, technical details were kept in the references. We will overview the methods in terms of model-based, data driven and signal based methods further in the paper. Principles of three FDI methods are explained and characteristics of number of some popular techniques are described. It also summarizes data-driven methods and applications related to power generation plants. Parts of control system applications of FDI in TPPs with possible faults are shown in the Table I. Some popular techniques for the various faults in TPPs are discussed also.

scholarly journals Improving the efficiency of power boilers by cooling the flue gases to the lowest possible temperature under the conditions of safe operation of reinforced concrete and brick chimneys of power plants

2018 ◽  
Vol 245 ◽  
pp. 07014 ◽  
Author(s):  
Evgeny Ibragimov ◽  
Sergei Cherkasov
Keyword(s):  
Reinforced Concrete ◽  
Power Plant ◽  
Flue Gas ◽  
Power Plants ◽  
Thermal Power ◽  
Operating Mode ◽  
Flue Gases ◽  
Technical Solution ◽  
Gas Temperature ◽  
Safe Operation

The article presents data on the calculated values of improving the efficiency of fuel use at the thermal power plant as a result of the introduction of a technical solution for cooling the flue gases of boilers to the lowest possible temperature under the conditions of safe operation of reinforced concrete and brick chimneys with a constant value of the flue gas temperature, when changing the operating mode of the boiler.

FIELD TEST OF WIRELESS SENSOR NETWORK IN THE NUCLEAR ENVIRONMENT

2014 ◽  
Vol 3 (01) ◽  
pp. 47-51 ◽  
Author(s):  
L. Li ◽  
Q. Wang ◽  
A. Bari ◽  
C. Deng ◽  
D. Chen ◽  
...  
Keyword(s):  
Electromagnetic Interference ◽  
Nuclear Power ◽  
Power Plants ◽  
Low Cost ◽  
Signal Propagation ◽  
Nuclear Radiation ◽  
Wireless Sensor ◽  
Wireless Signal ◽  
Nuclear Environment ◽  
Interference Tests

Wireless sensor networks (WSNs) are appealing options for the health monitoring of nuclear power plants due to their low cost and flexibility. Before they can be used in highly regulated nuclear environments, their reliability in the nuclear environment and compatibility with existing devices have to be assessed. In situ electromagnetic interference tests, wireless signal propagation tests, and nuclear radiation hardness tests conducted on candidate WSN systems at AECL Chalk River Labs are presented. The results are favourable to WSN in nuclear applications.

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