Power System Control Based on Voltage Risk

2013 ◽  
Vol 347-350 ◽  
pp. 1411-1414
Author(s):  
Ying Zhi Li ◽  
Wen Xia Liu

This paper focused on power system security problems and proposed risk assessment and preventive control method of electric power system based on voltage risk. The method built up a system voltage risk indicators, and have system voltage risk identified through risk assessment, on this basis, reduced the risk of the system voltage by optimizing the control variables of the system, which of course can increase system security. Finally, Refers to a 5-node tests as examples to verify availability of this method.

2014 ◽  
Vol 687-691 ◽  
pp. 3203-3206
Author(s):  
Wei Hua Chen ◽  
Yan Wei Chen

Line flow is one of the key factors which dominate the power system security. To deal with this problem, this paper proposed a method of power system assessment and control based on power system Line flow risk. Probabilistic power flow (PPF) is used to analyze the random of system statuses. The severity function is used to describe the impact of the transmission line load. Line flow risk is defined as the result of the probability multiplying the severity of Line flow. It is an indicator of power system security. This reduces the system line flow risk and increases the system security.


2019 ◽  
Vol 139 ◽  
pp. 01026
Author(s):  
Irina Kolosok ◽  
Liudmila Gurina

The paper proposes an approach to risk assessment in the electric power system control to identify possible failures in the electric power system functioning caused by cyberattacks on SCADA systems and WAMS. There is a large number of information, hardware and software factors, which increase the automated dispatching control system vulnerability to cyberattacks. The study shows the influence of unforeseen cyber-incidents in the information and communication infrastructure on electric power systems through false control actions on their physical part. The effectiveness of the developed risk assessment approach is demonstrated by its performance under uncertainty.


2016 ◽  
Vol 39 (2) ◽  
pp. 194-207 ◽  
Author(s):  
Junkang Ni ◽  
Ling Liu ◽  
Chongxin Liu ◽  
Xiaoyu Hu ◽  
Aoan Li

In this paper, the problem of chaos suppression for a four-dimensional fundamental power system (FDFPS) model is considered via the design of a novel adaptive feedback controller. The period doubling bifurcation route to chaos and some dynamical behaviors of the power system are investigated in detail. Based on stability analysis using an energy-type Lyapunov function, a single adaptive feedback controller is derived to suppress chaotic oscillation in four-dimensional fundamental power systems. The proposed controller simplifies the design of power system stabilizer and provides an easy way to implement in practical power system control. In addition, effectiveness of damping out chaotic oscillation and robustness against parameter uncertainty and external disturbance also make the proposed control scheme applicable for industrial application. Simulation results illustrate the effectiveness, the robustness and the superiority of proposed control method.


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