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    K.R.Padiyar I.I.Sc.1

    POWER SYSTEM DYNAMICS

    K.R.Padiyar, I.I.Sc.

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    OBJECTIVES

    To discuss importance of System Dynamicsin Power System Operation and Control

    To present historical development of PSD

    To present new results in-

    Transient (Structure Preserving) Energy

    Functions and its applications for on-linedetection of LOS and discrete control

    Phenomenon of Strong Resonance

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    Why Study Power System Dynamics

    In steady state, for a specified networkconfiguration, a system supplies power (P)and reactive power (Q) at load nodes byadjusting generations. We say the system isin equilibrium.

    As load/generation change and/or networkchange, the equilibrium point changes.

    Can we assume that the transition is smoothor reasonably fast?

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    Why Study Power System Dynamics

    It is possible that the system loses stability (unable

    to reach the desired equilibrium)

    The system controls are complex and diverse (e.g.voltage and frequency control)

    Some controls are fast , some are slow. It isnecessary to ensure coordination for improved

    system performance.

    System stability can be improved by special controlssuch as PSS, HVDC and FACTS controllers

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    Complexities in System Operation

    1. In steady state, all generators have tooperate synchronously.

    2. Fast and efficient energy storage devicesare not yet available for practical use.

    3. The electrical power flows at speeds

    approaching that of light.NOTE: 2 and 3 imply that at any time the

    generated power equals load plus losses

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    Complexities

    4. Most transmission lines are AC and have no

    control options unless introduced usingFACTS Controllers. HVDC links are

    controllable, but are limited in number.

    5. The system is very large, complex and

    spread over a wide geographic areaNOTE: The above implies need for

    decentralized or hierarchical control

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    Complexities

    6. The load variations with time are notprecisely known and require forecasting.

    7. There are limits on the rate of change ofgenerator output depending on the primemover characteristics.

    8. Power flows in AC transmission lines arealso determined by KVL in addition toinjections. Deregulation has increaseduncertainties in power injections

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    Complexities

    9. The AC lines generate or consume reactive

    power depending on the power flow.Reactive power control is necessary to

    regulate voltages and ensure stability.

    10. Loss of synchronous operation caused by

    small or large disturbances leads to systembreak up and power blackouts. It is essential

    to stabilize the system for robust operation

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    System States

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    Control Objectives

    In Normal Secure State: Power/Frequency

    (P/F) and Reactive Power/Voltage (Q/V)control

    Insecure State: Preventive control (Infeasiblein systems with power shortages)

    Emergency State: Emergency control toremove limit violations and stabilize the

    system

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    Control Objectives

    In Extremis State: Control to cut losses and

    protect the system (Note: the system hasalready separated into islands that have to

    be protected to prevent further collapse)

    In Restorative State: Resynchronization to

    restore loads and system integrity

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    Historical Development

    Loss of Synchronism (LOS) due to majordisturbances (faults followed by clearing)was a major problem till fast acting circuitbreakers and AVR were introduced. This wastermed as TRANSIENT (Angle) STABILITY

    The study of transient stability was performedby AC network analyzers

    The classic texts by Crary and Kimbark werepublished in the fifties

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    Historical Development

    In the sixties, the systems started experiencingspontaneous, low frequency (0.2-2 Hz) oscillations

    which can grow and result in LOS. The problem wastraced to fast acting excitation systems with highgain AVR. The oscillations are observed at highloading condition with long lines.

    The solution was to introduce Power SystemStabilizers (PSS) with inputs from speed, frequencyor power (or a combination of speed and power).The design of PSS to damp inter-area modes can becomplex.

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    Historical Development

    In early seventies, the problem of Sub-SynchronousResonance (SSR) involving Torsional Interaction (TI)

    was experienced. The torsional modes (10-50 Hz)can be negatively damped due to interactionbetween the electrical and mechanical systems.

    The series capacitors can cause maximumundamping when the electrical resonance mode hasa frequency (f

    e) = f

    o f

    m, f

    mis freq. of torsional

    mode. HVDC converters and FACTS controllers can also

    result in SSR. However, TCSC can damp SSR.

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    Historical Development

    In late seventies, the systems ,due to

    stressed transmission network and reactivepower constraints, experienced voltage

    instability and collapse (although no LOS

    occurs). The operation of OLTC can cause

    voltage collapse. Transient voltage instability can be caused

    by induction motor loads and HVDC inverters

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    Transient Voltage Instability due to

    Induction Motor Load

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    Voltage Stability

    It can be difficult to distinguish betweenvoltage stability and angle stability

    Loss of synchronism can also beaccompanied by voltage collapse

    Hence care needs to be taken in identifying

    the nature of instability Analysis of Voltage Instability decoupled from

    Angle Instability is important

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    SMIB System- Swing curves

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    SMIB System- Terminal voltage

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    Some Facts on Voltage Stability

    The simplest system that exhibits voltage

    instability is Single Machine Load Bus(SMLB) system.

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    Dynamics of Load Restoration

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    Some Facts on Voltage Stability

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    Some facts about Voltage stability

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    An Interesting Example

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    Region of Stability in K-T plane

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    Eigenvalue Loci (SM and EM)

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    Simulation Results

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    Simulation Results

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    Study Tools

    Time domain simulation

    Transient stability simulation (< 20 s)

    Midterm simulation (< 5 mts)

    Long term simulation

    Electro-Magnetic Transient simulation

    (when network transients are considered inSSR simulation)

    Small signal stability analysis

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    Study Tools

    Frequency domain analysis (damping torque

    analysis for SSR studies)

    Transient Energy Function analysis for direct

    stability evaluation

    Bifurcation analysis (AUTO 97 software by

    Doedel et al)

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    Transient Energy Functions on

    Structure Preserving Models

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    Recent Developments in SPEF

    By applying network analogy, where power is

    analogous to current, frequency variation

    analogous to voltage, it is possible to

    represent a lossless system by a network

    consisting of nonlinear inductors

    (representing transmission lines) andcapacitors representing rotor inertias, excited

    by current sources.

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    Structure Preserving Energy Functions

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    On-line Detection of LOS

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    Single line diagram of 10 generator

    New England system

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    Angle across Series Elements for the

    Critically Unstable Case

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    Power Flow and rate of change of

    angle for the stable and unstable cases

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    A New Discrete Control Algorithm

    based on Energy Function

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    Control Strategy for a Two Machine

    System

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    Control Strategy for a Two Machine

    System

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    Control Strategy

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    Extension to Multi-machine Systems

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    Potential Energy in Multi-machine

    Systems

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    A Case Study of Ten Machine System

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    Swing Curves and Energy Variation

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    A UPFC Connected in a Line

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    Optimization of Power Flow Using

    UPFC

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    Expressions for Max and Min Power

    Flows in a Line with UPFC

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    Strong Resonance Phenomenon

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    Analysis of Strong Resonance

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    Strong Resonance between Swing and

    Exciter Modes

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    Implications of Strong Resonance

    The eigenvalue sensitivities are very high

    near strong resonance. Methods of controller

    tuning based on sensitivity information may

    be unreliable.

    Optimal choice of controller parameters may

    result in operation near strong resonance. Detection of strong resonance is possible

    using reduced order models.

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    POWER SYSTEM DYNAMICS

    THANK YOU