Determination of steady state voltage stability limit of a power system in the presence of SVC

Author(s):  
M.H. Haque
2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Kaiyuan Hou ◽  
Zeyu Li ◽  
Lei Chen ◽  
Deming Xia ◽  
Qun Li ◽  
...  

Coupled with the power system through power-electronic interfaces, renewable energies including wind power and photovoltaic can control the power quickly and flexibly. In the steady-state stability analysis, by neglecting the fast dynamics of power-electronic interfaces, the renewable energy power is simplified to a static power injection model and can be described as an algebraic equation in the dynamic process. Based on this simplified model, the steady-state stability of sending-end system with mixed synchronous generator and power-electronic-interfaced renewable energy is studied. By proposing a triangular transformation model based on the classical model of power system, the steady-state stability analysis becomes feasible. The mechanism of steady-state stability is revealed, and the influence of renewable energy on the steady-state stability limit is quantitatively investigated. When the renewable energy power increases, the steady-state stability limit of the sending-end system first increases and then decreases. Reducing the power output of synchronous generator can change for a higher integration limit of renewable energy. Simulation results validate the conclusion.


2019 ◽  
Vol 139 ◽  
pp. 01020
Author(s):  
Nariman Rahmanov ◽  
Viсtor Kurbatsky ◽  
Huseyngulu Guliyev ◽  
Nikita Tomin ◽  
Famil Ibrahimov

The paper proposes method and algorithm for obtaining the maximum transmitted power limit in the power system under the voltage stability conditions in case of emergency outages of its elements - power lines and generating sets. The method is based on the analysis of the exaggerated states of the system created by increasing the values of the power sources (generators of power plants). The model of system states in extreme modes is described in the form of “extreme transmitted power – generating power values” relationships. The efficiency of the method is investigated on IEEE test schemes and the real Azerenergy system scheme. A comparison of the proposed method results with the evaluation of the critical conditions on the basis of trained neural network is presented.


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