Abstract
Power system stability control is a challenging task in power generation, transmission and distributions based applications and in many fields. Multi-machine power compensation control can achieve system stabilization within a prescribed time in conventional controller. However, limited time control cannot guarantee the system convergence within particular time independent on the initial condition, which makes illegal application into the practical system if the initial condition is unknown in advance. The proposed Multi-Machine Power System Compensation (MMPSC) control overcomes the issues in existing systems and limited time stability controller. Due to this attractive solution, multi-machine power compensation control stability has found applications in uniform exact differentiator design for the multi-agent system. The proposed multi-machine power compensation control reduces damping oscillation and improves the power system stability control. The main objective of proposed controller is to improve the stability of MMPSC limited time system stabilization independent of the initial state and ensure fast convergence both far away from and at a close range of the power monitoring system. This feature can reduce the loss caused by unwanted oscillation and avoid voltage collapse. To overcome the linearity problem of terminal mode control, saturation function is introduced to limit the amplitude of power input. In comparison with the existing results on stability control, the proposed MMPSC applies a simpler method to overcome stability problem and achieves higher efficiency.
Highlights
Power systems unit is classified into three different stages namely generation, transmission, and distribution
The proposed work implementation based on closed loop system stability analysis involved in the system models has been presented
Based on the various closed loop stability analysis, it is evident that the proposed Multi-Machine Power System Compensation (MMPSC) is better than the conventional Automatic Voltage Regulator (AVR) and Artificial Neural Network (ANN) based controller for multi-machine power system stability enhancement
Summary
Power systems unit is classified into three different stages namely generation, transmission, and distribution. The main advantage of proposed controller is that it can guarantee finite time system stabilization independent on initial state and ensure fast convergence both far away from and at a close range of the control objective. This feature can reduce the loss caused by instant oscillation and avoid voltage collapse. Based on the various closed loop stability analysis, it is evident that the proposed MMPSC is better than the conventional AVR and ANN based controller for multi-machine power system stability enhancement
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
