31.1:

The Swing Equation

JoVE Core
Electrical Engineering
É necessária uma assinatura da JoVE para visualizar este conteúdo.  Faça login ou comece sua avaliação gratuita.
JoVE Core Electrical Engineering
The Swing Equation

5 Views

01:21 min

November 21, 2024

The Swing Equation is a fundamental tool in power system dynamics, especially for analyzing the behavior of generating units like three-phase synchronous generators. This equation emerges from applying Newton's second law to the rotor of a generator, encompassing factors such as inertia, angular acceleration, and the interplay between mechanical and electrical torques.

In a steady-state operation, the mechanical torque (Τm) supplied to the generator is balanced by the electrical torque (Τe) generated. This balance implies that the rotor's angular acceleration and the accelerating torque (Τa) are zero, thereby maintaining a constant rotor velocity or synchronous speed. Deviations from this balance occur when Τm exceeds Τe, causing the rotor speed to increase or when Τe surpasses Τm, resulting in a decrease in rotor speed.

The rotor position (δ) is conventionally measured relative to a synchronously rotating reference axis rather than a stationary one, facilitating more straightforward analysis. Additionally, using the per-unit (p.u.) system to represent power simplifies calculations, as does employing the normalized inertia constant (H). The per-unit Swing Equation, a nonlinear second-order differential equation, is given by:

Equation1

Where δ is the rotor angle, ωsyn is the synchronous angular velocity, and H is the normalized inertia constant. This equation is pivotal for transient stability studies, addressing the variable nature of both electrical power and rotor speed.

For computational ease, the Swing Equation is often reformulated into two first-order differential equations:

Equation2

This transformation allows for more efficient numerical integration and simulation.

The Swing Equation's role extends to predicting rotor dynamics under fluctuating conditions, such as in wind turbine generators where mechanical torque varies with wind speed. Accurate prediction of these dynamics is crucial for maintaining grid stability, ensuring that transient disturbances do not lead to system instability or failure. Understanding and applying the Swing Equation is thus integral to the reliable operation and control of modern power systems.