Contingency screening and risk quantification related to voltage collapse in extended real time

1997 ◽  
Author(s):  
A. Berizzi
Keyword(s):  
Real Time ◽  
Voltage Collapse ◽  
Risk Quantification ◽  
Contingency Screening

scholarly journals Adaptive Algorithm of a Tap-Changer Controller of the Power Transformer Supplying the Radial Network Reducing the Risk of Voltage Collapse

Energies ◽  
2020 ◽  
Vol 13 (20) ◽  
pp. 5403
Author(s):  
Robert Małkowski ◽  
Michał Izdebski ◽  
Piotr Miller
Keyword(s):  
Real Time ◽  
Power Transformer ◽  
Wind Farms ◽  
Voltage Collapse ◽  
Real Time Control ◽  
Time Data ◽  
Medium Voltage ◽  
Time Control ◽  
University Of Technology ◽  
Technical Solutions

The development of renewable energy, including wind farms, photovoltaic farms as well as prosumer installations, and the development of electromobility pose new challenges for network operators. The results of these changes are, among others, the change of network load profiles and load flows determining greater volatility of voltages. Most of the proposed solutions do not assume a change of the transformer regulator algorithm. The possibilities of improving the quality of regulation, which can be found in the literature, most often include various methods of coordination of the operation of the transformer regulator with various devices operating in the Medium-Voltage (MV) network. This coordination can be decentralized or centralized. Unfortunately, the proposed solutions often require costly technical resources and/or large amounts of real-time data monitoring. The goal of the authors was to create an algorithm that extends the functionality of typical transformer control algorithms. The proposed solution allows for reducing the risk of voltage collapse. The performance of the proposed algorithm was validated using multivariate computer simulations and tests with the use of a physical model of the distribution network. The DIgSILENT PowerFactory environment was used to develop the simulation model of the proposed algorithm. Then, tests were conducted on real devices installed in the LINTEˆ2 Laboratory at the Gdańsk University of Technology, Poland. Selected test results are included in this paper. All results have shown that the proposed algorithm makes it possible to increase the reserve of the voltage stability of the node, in which it is applied, thus mitigating the risk of a voltage collapse occurring. The proposed algorithm does not require complex and costly technical solutions. Owing to its simplicity, it has a high potential for practical application, as confirmed by the real-time control experiment in the laboratory.

A Novel Index to Voltage Collapse based on the System Physical Quantities

2012 ◽  
Vol 433-440 ◽  
pp. 6060-6064
Author(s):  
Zhi Wei Sun ◽  
Xiao Liu
Keyword(s):  
Real Time ◽  
Critical Value ◽  
Voltage Collapse ◽  
System Monitoring ◽  
Time System ◽  
Real Time System ◽  
Small System ◽  
System Changes ◽  
Physical Quantities

This paper presents a new index to voltage collapse based on the system physical quantities such as nodes' voltages and injected powers.The index has a critical value. It is physically meaningful, varies smoothly when the system changes (i.e. does not exhibit discontinous changes on value for small system changes such as oLTCs´action). This new index does not need to build any models and not be limited with load patterns.Moreover it can be used to real time system monitoring because it can be easily calculated , and can alert operators to take appropriate actions. The simulate result is very promising.

Indirect Power-System Contingency Screening for Real-Time Applications Based on PCA

2018 ◽  
Vol 33 (1) ◽  
pp. 1080-1081 ◽  
Author(s):  
Teodora Dimitrovska ◽  
Urban Rudez ◽  
Rafael Mihalic
Keyword(s):  
Power System ◽  
Real Time ◽  
Contingency Screening ◽  
Real Time Applications

scholarly journals A Visualization Tool for Real-Time Dynamic Contingency Screening and Remedial Actions

2017 ◽  
Vol 53 (4) ◽  
pp. 3268-3278 ◽  
Author(s):  
Joydeep Mitra ◽  
Mohammed Benidris ◽  
Nga Nguyen ◽  
Sidart Deb
Keyword(s):  
Real Time ◽  
Visualization Tool ◽  
Time Dynamic ◽  
Contingency Screening ◽  
Remedial Actions
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