Abstract

The electrical system's problem stabilizes the electrical system with three primary parameters: rotor angle stability, frequency stability, and voltage stability. This paper focuses on the problem of designing a low-order stable optimal controller for the generator rotor angle (load angle) stabilization system with minor disturbances. These minor disturbances are caused by lack of damping torque, change in load, or change in a generator during operation. Using the RH∞optimal robust design method for the Power System Stabilizer (PSS) to stabilize the generator’s load angle will help the PSS system work sustainably under disturbance. However, this technique's disadvantage is that the controller often has a high order, causing many difficulties in practical application. To overcome this disadvantage, we propose to reduce the order of the higher-order optimal robust controller. There are two solutions to reduce order for high-order optimal robust controller: optimal order reduction according to the given controller structure and order reduction according to model order reduction algorithms. This study selects the order reduction of the controller according to the model order reduction algorithms. In order to choose the most suitable low-order optimal robust controller that can replace the high-order optimal robust controller, we have compared and evaluated the order-reducing controllers according to many model order reduction algorithms. Using robust low-order controllers to control the generator’s rotor angle completely meets the stabilization requirements. The research results of the paper show the correctness of the controller order reduction solution according to the model order reduction algorithms and open the possibility of application in practice. Doi: 10.28991/esj-2021-01299 Full Text: PDF

Highlights

  • The function of an electrical system is to convert energy from a natural form to an electrical form and transmit it to consumption

  • It is possible to use the 4th-order controller according to the dominant pole retention algorithm to replace the 17th-order controller

  • We can choose the 4th-order controller according to the dominant pole retention algorithm

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Summary

1- Introduction

The function of an electrical system is to convert energy from a natural form to an electrical form and transmit it to consumption. Small signal stabilization theory has used to identify and analyses electric motor oscillations (low-frequency oscillations) in electrical systems These oscillations cause the generator rotor angle to increase or decrease relative to the working point, causing a lack of synchronous torque or damping torque [4]. Some authors researched to design a PSS integrating requirements such as changing parameters or changing working conditions to obtain a similar frequency domain model through a suitable compensatory correction function. To obtain a low-order controller, we can do the following two methods, shown in Figure 1: Method 1: This method selects a fixed structure of the order-reduced controller, applies the optimization algorithm to find the order-reduced controller's parameters so that the standards of the robust control are still ensured. The high-order controller that requires order reduction here is the PSS system controller that stabilizes the generator's rotor angle. Using the 17th-order controller to stabilize the generator’s rotor angle, we obtained the simulation results in MatlabSimulink as follows:

4- Results and Discussion
Conclusion
5- Conclusion
6-4- Conflicts of Interest
7- References

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