Analysis of Power System Low Frequency Oscillation Considered the Impact of Turbine Power Changing

2014 ◽  
Vol 543-547 ◽  
pp. 751-756
Author(s):  
Pai Liu ◽  
Lin Zhang ◽  
Long Sheng Hu ◽  
Guo Jian Yang ◽  
Ye Zhou Hu

In this paper, the author introduced resonance mechanism into the stability analysis of power system, established comprehensive mathematical model including units and power grids by considering the effects from generation side and line side. On this basis, the author simulated several typical disturbances to analysis by MATLAB SIMULINK. The result showed that the power oscillation will be caused when the natural frequency of the grid and the frequency of disturbances are same or similar, especially in multi-area interconnected power system. The disturbances from different units can produce a significant impact transient or sustained oscillation by superposition, endanger the stability of power system.

2012 ◽  
Vol 241-244 ◽  
pp. 676-681 ◽  
Author(s):  
Qiu Li Wu ◽  
Xi Cheng ◽  
Jian Cheng Tan

In interconnected systems, the low frequency oscillation becomes an important factor that affects the power system stability and limits power transport. This paper analyses the principle of low frequency oscillation in power system and the measures on suppressed low frequency oscillation, at last discusses the future development.


2012 ◽  
Vol 614-615 ◽  
pp. 875-879
Author(s):  
Jian Guo Zhu

This paper studies the effect of the soft feedback in hydro-turbine and its governor system on power system transient stability. Low frequency oscillation phenomenon in which the hydraulic turbine sets participate occurred on power system many times this year, which with no mechanism discovered. In this paper, we first study the effect of mechanical load moment output of the prime mover system on the mechanism of low frequency oscillations, then by analysis of small-signal stability on hydro-turbine and its governor system and simulation experiments on an two-generator power system using PSASP, we come to the conclusion that: If the soft feedback output values of hydro-turbine governor systems are set small in the power system, it will come to the unstable oscillation condition.


Low-frequency oscillation can collapse the stability of the power system, which is considered to be one of the most significant challenges to a power system engineer. In earlier decades modal analysis was carried out for identifying lowfrequency oscillation modes, which have various drawbacks. In the present era, with the application of the Phasor measurement unit & various signal processing techniques, identification of lowfrequency oscillation is being carried out with accuracy to an extent. This paper provides a survey of recent research and development in the field of identification of low-frequency oscillation by different signal processing techniques. It is expected that this literature survey will provide researchers with some future direction in finding relevant references and developing suitable techniques for low-frequency oscillation detection in the interconnected power system.


2013 ◽  
Vol 676 ◽  
pp. 186-192
Author(s):  
Zhi Jian Liu ◽  
Rong Huang ◽  
Shu Ming Zhou ◽  
Yu Cheng Hou

The low-frequency oscillation is one of the most important reasons that affects the stability of the power system. Under the background of building a unified and strong smart grid, the scale of the power system will continue to expand, the interconnection of systems will be more closely, the structure will be more complex, these factors will further increase the difficulty on the low-frequency oscillation control. This paper summarizes the methods to analysis low frequency oscillation signal, the way that suppresses the low frequency oscillation in electrical engineering. Further, based on smart grid framework, a on-line visualization technology and a self-recovery regulation strategy are proposed to damp low-frequency oscillation.


2019 ◽  
Vol 2 (1) ◽  
pp. 137-145
Author(s):  
Ram Prasad Pandey

In early days of power engineering, the power system consisting of synchronous generators faced different low frequency oscillation problems and they were solved by different researchers by using suitably AVR and PSS. Later, the electricity industry is turning increasingly to renewable sources of energy to generate electricity. Wind is the fastest growing and the most widely utilized emerging renewable energy technology for power generation at present. With the increasing penetration of wind power in the power system, the impact in power system performance should be fully investigated, particularly for doubly fed induction generation (DFIG) wind turbine since this type of renewable source is gaining prominence in the power system industry. Main purpose of this study is to examine the impacts of wind power integration in the low grid from low frequency oscillation perspective. The benchmarked Two Area System is considered for this analysis using Power System Analysis Toolbox (PSAT). The critical modes of oscillation are selected from eigenvalue analysis and their participation factors are studied to identify their sensitivity. Also the time domain analysis is run in every cases to study the transient stability. From TAS, concept of local and global mode oscillation can be understood clearly. Replacing synchronous generators in TAS by DFIG WTG one by one of same rating gave conclusion that low frequency stability depends on the location of DFIG penetration and operating scenario. The results show that there is both beneficial and detrimental effects due to DFIG WTGs. The installation of PSS in the critical generators greatly enhances the system damping.


Energies ◽  
2018 ◽  
Vol 11 (11) ◽  
pp. 3238 ◽  
Author(s):  
Wenping Hu ◽  
Jifeng Liang ◽  
Yitao Jin ◽  
Fuzhang Wu ◽  
Xiaowei Wang ◽  
...  

Low frequency oscillation in an interconnected power system is becoming an increasingly serious problem. It is of great practical significance to make online evaluation of actual power grid’s stability. To evaluate the stability of the power system quickly and accurately, a low frequency oscillation stability evaluation method based on an improved XGboost algorithm and power system random response data is proposed in this paper. Firstly, the original input feature set describing the dynamic characteristics of the power system is established by analyzing the substance of low frequency oscillation. Taking the random response data of power system including the disturbance end time feature and the dynamic feature of power system as the input sample set, the wavelet threshold is applied to improve its effectiveness. Secondly, using the eigenvalue analysis method, different damping ratios are selected as threshold values to judge the stability of the system low-frequency oscillation. Then, the supervised training with improved XGboost algorithm is performed on the characteristics of stability. On this basis, the training model is obtained and applied to online low frequency oscillation stability evaluation of a power system. Finally, the simulation results of the eight-machine 36-node test system and Hebei southern power grid show that the proposed low frequency oscillation online evaluation method has the features of high evaluation accuracy, fast evaluation speed, low error rate of unstable sample evaluation, and strong anti-noise ability.


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