Enhance Power System Transient Voltage Stability by Difference Coefficient of Generator Excitation System Optimization

2014 ◽  
Vol 1008-1009 ◽  
pp. 409-416
Author(s):  
Wen Sun ◽  
Yin Sheng Su ◽  
Jun Feng Zhang ◽  
Xiao Ming Li

Lack of dynamic reactive power compensation result in power system transient voltage instability. To improve the transient voltage stability, an optimization strategy for setting the excitation system difference coefficient of the generator is presented in this paper. The concept of the excitation system difference coefficient is introduced. Then the impacts of difference coefficients of generator excitation system on generator stability are analyzed and adjustment range is proposed. The calculation results of Guangdong province system show that the transient voltage stability level is enhanced effectively after optimizing the excitation system difference coefficient.

2012 ◽  
Vol 182-183 ◽  
pp. 681-684
Author(s):  
You Jie Ma ◽  
Cheng Liao ◽  
Xue Song Zhou

Grid photovoltaic system’s inverter, grid device and other power electronics device consume a large quantity of reactive power, the distribution system load mostly is perceptual, it must also consume reactive power. This will make big interference interconnection of photovoltaic system after the transient voltage stability serious test. Therefore, the study grid photovoltaic system transient voltage stability is of great significance. This paper introduces the transient voltage stability of research contents, such as transient voltage stability of factors, stability criterion, the simulation calculation, and puts forward prevention transient voltage instability accident measures, and analyzes system transient voltage stability mechanism.


Energies ◽  
2019 ◽  
Vol 12 (8) ◽  
pp. 1556 ◽  
Author(s):  
Cao ◽  
Zhang ◽  
Xiao ◽  
Hua

The existence of high proportional distributed energy resources in energy Internet (EI) scenarios has a strong impact on the power supply-demand balance of the EI system. Decision-making optimization research that focuses on the transient voltage stability is of great significance for maintaining effective and safe operation of the EI. Within a typical EI scenario, this paper conducts a study of transient voltage stability analysis based on convolutional neural networks. Based on the judgment of transient voltage stability, a reactive power compensation decision optimization algorithm via deep reinforcement learning approach is proposed. In this sense, the following targets are achieved: the efficiency of decision-making is greatly improved, risks are identified in advance, and decisions are made in time. Simulations show the effectiveness of our proposed method.


2020 ◽  
Vol 186 ◽  
pp. 01002
Author(s):  
Yunxin Liu ◽  
Liangzhong Yao ◽  
Siyang Liao ◽  
Jian Xu ◽  
Di Wu ◽  
...  

With the poor ability of distributed PV to withstand voltage fluctuation, the voltage fluctuation caused by DC blocking can lead to large-scale disorderly de-networking of distributed PV, especially those distributed PV which close to voltage weak buses. which means that more and more attentions are paid to the transient voltage stability (TVS). If distributed PV can participation in reactive compensation, we don’t need to add additional reactive power compensator, voltage stability of voltage weak buses will be increased, which can reduce PV off-grid. Therefore, for the HVDC receiving end system under distributed PV intensive access, first of all, we need to find the voltage weak bus, then increase the reactive power output of distributed PV near the voltage weak buses to increase transient voltage margin. Taking the simplified model of power system in Anhui Province as an example, the validity of the strategy is verified, and the results show that the transient voltage stability of the system has been improved.


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