Design Low Order Robust Controller for the Generator’s Rotor Angle Stabilization PSS System

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

Control Design for the Ward–Leonard System in Wind Turbines

“…Two basic methods are used to obtain a low-order robust optimal controller. The first method designs a high-order controller according to a stable optimal control algorithm and then applies model order reduction algorithms to obtain a lower-order stable optimal controller [13][14], while the second method uses optimization algorithms to design a low-order controller that satisfies the requirements of sustainable optimal control [15].…”

Steady-state stability of the generator – comparison of load angle calculated using sine and cotangent function, and new instability proximity index

“…The main task of the power system is its stable operation, which is reflected in the appropriate load angle of the generators, frequency stability and voltage stability. Knowing the exact load angle of the generators enables the design of more stable and better controllers (Kien et al, 2021). The last works that can be found in the literature related to the calculation of the load angle is the work presented by (You, 2021), where a load angle measurement algorithm of synchronous generator adaptive to non-integer teeth ratio has been investigated.…”