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Small Signal Stability The Synchronizing and Damping Torques small rotor oscillations are governed by an approximate second order differential equation given by
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  • Small Signal Stability

    The Synchronizing and Damping Torques

    small rotor oscillations are governed by an approximate second order differential equation given by

  • Small Signal Stability

    The Synchronizing and Damping Torques

    Kdamp is the damping of the entire synchronous machine (including field winding, excitation, and PSS if connected).

    It shall not be confused with the mechanical damping constant KD of the swing equation.

    For calculating Ksync and Kdamp for a given eigenvalue of the system, we calculate the transfer function K(s) between the rotor angle deviation and the electrical torque deviation

    For a given eigenvalue , K is a complex number

  • Small Signal Stability

    The Synchronizing and Damping Torques The rotor angle deviation can be written as

  • Small Signal Stability

    The Synchronizing and Damping Torques

    The synchronizing and damping components are

    Ksync and/or Kdamp 0 Unstable Ksync 0 Motonic instability. Kdamp 0 Growing oscillations.

  • Small Signal Stability

    The Synchronizing and Damping Torques

    Case 1 : Without AVR

  • Small Signal Stability

    The Synchronizing and Damping Torques

    Case 1 : Without AVR

  • Small Signal Stability

    The Synchronizing and Damping Torques

    Case 1 : Without AVR

    Note:

  • Small Signal Stability

    The Synchronizing and Damping Torques

    Case 2 : With Fast Excitation System (TE 0 )

  • Small Signal Stability

    The Synchronizing and Damping Torques

    Case 2 : With Fast Excitation System (TE 0 )

  • Small Signal Stability

    The Synchronizing and Damping Torques

    Case 2 : With Fast Excitation System (TE 0 )

  • Small Signal Stability

    The Synchronizing and Damping Torques

    Example A synchronous generator is connected to an infinite bus through an external reactance Xe = 0.4 pu. Compute the Heffron-Phillips constants, K1 to K6 at the operating point.

  • Small Signal Stability

    The Synchronizing and Damping Torques

    Solution

  • Small Signal Stability

    The Synchronizing and Damping Torques

  • Small Signal Stability

    The Synchronizing and Damping Torques

    Example For the system considered in the previous example, compute the eigenvalues for the two operating conditions and (i) without AVR (ii) with AVR of TE = 0.05 sec, KE = 200.

  • Small Signal Stability

    The Synchronizing and Damping Torques

    Example

  • Small Signal Stability

    The Synchronizing and Damping Torques

    Example

  • Small Signal Stability

    The Synchronizing and Damping Torques

    Example

  • Small Signal Stability

    Classification of Power System Oscillations

    1) Swing mode (electromechanical) oscillations. For an n generator system, there are (n-1) swing (oscillatory) modes associated with the generator rotors. A swing mode oscillation is characterized by a high association of the generator rotor in that mode.

    2) Control mode oscillations. Control modes are associated with generating units and other controls. Poorly tuned exciters, speed governors, static var compensators, etc are the usual causes of instability of these modes.

    3) Torsional mode oscillations. These oscillations involve relative angular motion between the rotating elements (synchronous machine, turbine, and exciter) of a unit, with frequencies ranging from 4Hz and above. Dc lines, static converters, series-capacitor-compensated lines can excite torsional oscillations such as and other devices.

  • Small Signal Stability

    Modal Analysis Swing mode oscillations can be further grouped into:

  • Small Signal Stability

    Modal Analysis

  • Small Signal Stability

    Modal Analysis

  • Small Signal Stability

    Modal Analysis

    (orthogonality; if i j)

  • Small Signal Stability

    Modal Analysis

  • Small Signal Stability

    Modal Analysis Find eigenvalues eigenvectors

    Solution

  • Small Signal Stability

    Modal Analysis Find V, W,

    Solution

    v1

    v2

    v3

    W1

    W2

    W3

  • Small Signal Stability

    Modal Analysis

    These products are not yet I and because the eigenvectors need to be appropriately normalized.

    WT=

  • Small Signal Stability

    Modal Analysis

    is is called mode of system

  • Small Signal Stability

    Modal Analysis

  • Small Signal Stability

    Modal Analysis

  • Small Signal Stability

    Modal Analysis

    State Transition Matrix

    ,

    State Transition Matrix

  • Small Signal Stability

    Modal Analysis

    Theorem:

    To evaluate , take entry-by-entry inverse transform of

  • Small Signal Stability

    Modal Analysis

    Example

    Find the state transition matrix of A

    Solution

    By taking the inverse Laplace transform

  • Small Signal Stability

    Modal Analysis

  • Small Signal Stability

    Modal Analysis

  • Small Signal Stability

    Modal Analysis

  • Small Signal Stability

    Modal Analysis

  • Small Signal Stability

    Modal Analysis

  • Small Signal Stability

    Modal Analysis

  • Small Signal Stability

    Modal Analysis

  • Small Signal Stability

    Modal Analysis

    Pjk gives the sensitivity of j to the diagonal element akk of A:

    The participation factor (or residue)-based analysis is valid only if the eigenvalues are distinct.

  • Small Signal Stability

    Time-Domain Solution

    Stability can be verified by numerical solution of non-linear deferential-algebraic system of equations, for small and large disturbances. Disadvantages The choice of disturbance and selection of variables to be observed in

    time response are critical. The input, if not chosen properly, may not provide substantial excitation of the important modes.

    For a large power system it is not possible to identify any desired mode and study their characteristics.

  • Small Signal Stability

    Modal Analysis

    The damping ratio determines the rate of decay of the amplitude of the oscillation. The time constant of amplitude decay is 1/||. Namely, the

    amplitude reduces to 1/e or 37% of the initial amplitude in 1/|| seconds.

    Damping ratio and frequency of oscillation

  • Small Signal Stability

    Modal Analysis

    Possible combinations of eigenvalue pairs

  • Small Signal Stability

    Modal Analysis

    Possible combinations of eigenvalue pairs

  • Small Signal Stability

    Modal Analysis

    Possible combinations of eigenvalue pairs

  • Small Signal Stability

    Example: Modal Analysis of Spring-Mass System

    A multi-spring system with the parameters below is shown. Find the state matrix equations.

  • Small Signal Stability

    Example: Modal Analysis of Spring-Mass System

    Solution

    The state equations are:

  • Small Signal Stability

    Example: Modal Analysis of Spring-Mass System

    In the matrix format:

  • Small Signal Stability

    Example: Modal Analysis of Spring-Mass System

    Or,

  • Small Signal Stability

    Example: Modal Analysis of Spring-Mass System

    k23 >> k12 means M2 and M3 coupled rigidly than M2, M3 with M1.

    M1 >> M2, M3. Thus, low frequency oscillations are due to M1 and high frequency oscillation are due to M2, M3.

  • Small Signal Stability

    Example: Modal Analysis of Spring-Mass System

  • Small Signal Stability

    Example: Modal Analysis of Spring-Mass System

  • Small Signal Stability

    Example: Modal Analysis of Spring-Mass System

  • Small Signal Stability

    Example: Modal Analysis of Spring-Mass System

    Note:

  • Small Signal Stability

    Example: Modal Analysis of Spring-Mass System

  • Small Signal Stability

    Example: Modal Analysis of Spring-Mass System

  • Small Signal Stability

    Example: Modal Analysis of Spring-Mass System

  • Small Signal Stability

    Example: Modal Analysis of Spring-Mass System

  • Small Signal Stability

    Example: Modal Analysis of Spring-Mass System

  • Small Signal Stability

    Example: Modal Analysis of Spring-Mass System

    Note:

  • Small Signal Stability

    Example: Modal Analysis of Spring-Mass System

    Observations

  • Small Signal Stability

    Example: Modal Analysis of Spring-Mass System

  • Small Signal Stability

    Example: Modal Analysis of Spring-Mass System

  • Small Signal Stability

    Example: Spring-Mass System with Damping Coefficient

    The system is modified to include the effect of damping coefficient, assuming B1 = 1 N/m/s, B2 = B3 = 0. Write system differential equations.

  • Small Signal Stability

    Example: Spring-Mass System with Damping Coefficient

    Solution

    (*)

  • Small Signal Stability

    Example: Spring-Mass System with Damping Coefficient

  • Small Signal Stability

    Example: Spring-Mass System with Damping Coefficient

  • Small Signal Stability

    Example: Spring-Mass System with Damping Coefficient

  • Small Signal Stability

    Example: Spring-Mass System with Damping Coefficient

  • Small Signal Stability

    Example: Spring-Mass System with Damping Coefficient

    By numerical solution of (*)

  • Small Signal Stability

    Example: Spring-Mass System with Damping Coefficient

  • Small Signal Stability

    Example: Spring-Mass System with Damping Coefficient

  • Small Signal Stability

    Example: Spring-Mass System with Damping Coefficient

  • Small Signal Stability

    Example: Spring-Mass System with Damping Coefficient

  • Small Signal Stability

    Example: Spring-Mass System with Damping Coefficient

  • Small Signal Stability

    Example: Spring-Mass System with Damping Coefficient

    Observations

  • Small Signal Stability

    Example: Spring-Mass System with Damping Coefficient


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