Abstract

This paper describes an application of nonlinear adaptive Hamilton minimax control to multi-machine power systems with steam valve controllers. The controllers are designed explicitly to maintain transient stability of systems. First, the feedback link is introduced to transform the traditional power system model into Hamilton structure. It is worth mentioning that in the process of building the system model and designing the controllers, this paper considers the problem of interconnection interference. The proposed controllers enable the system to have L 2 interference suppression characteristics in the case of maximum disturbance. Finally, the simulation results show that the adaptive Hamilton minimax method has better transient performance.

Highlights

  • Multi-machine power system [1]–[3] is a unified and complex non-linearity with coupling among dynamic components and subsystems

  • The excitation control [5], [6] and valve regulation [7], [8] of turbogenerator are two important means to improve the stability of power system

  • In order to show the effectiveness of the adaptive Hamilton controller (AHC) method, we has carried on the simulation to the system

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Summary

INTRODUCTION

Multi-machine power system [1]–[3] is a unified and complex non-linearity with coupling among dynamic components and subsystems. Some parameters in power system are difficult to detect and obtain accurate values, the effective range of these parameters, can often be obtained according to physical relations and practical experience These useful prior information is often neglected in the design process of adaptive law. For a power system consisting of n generators, it is usually assumed that: (1) the transient potential Eqi(i = 1, 2, ..n) of generator q-axis remains unchanged during the transient process; (2) the output of reheater is constant when considering the mathematical description of the dynamic regulation of generator valve Under these two assumptions, the mathematical model of n-machine power system is expressed as: δi = ωsωri, ωri. Let the equilibrium point of the system be (δis, ωris, pmis), the equilibrium point satisfies the following conditions:

STATEMENT OF PROBLEM AND CONTROL OBJECT
SIMULATION
CONCLUSION
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