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Wide Area MeasurementsSystems for Grid Stability
A.M.KulkarniDepartment of Electrical Engineering, IIT Bombay
Mumbai
Organization
The Technology in a Nutshell
Wide Area Phenomena in Power Systems
A simple-to-implement Wide Area
Measurement System – Interesting
Observations of Wide Area Phenomena
WAMS Technology: Important Issues
WAMS Applications
PART – IWAMS Technology in a Nutshell
The Technology in a nutshellTwo Ideas:
1. Accurate Time SynchronizationDirect Measurement of Phase Angular
Differences
2. Faster Rate of Reception of Measured and accurately time-stamped data
Wide Area Measurements: The Technology in a nutshell
Location 1
Location 2
Magnitude of the two phasors can be determined independently but phase angle difference cannot be measured
without synchronization of measurements
Wide Area Measurements: The Technology in a nutshell
Location 1
Location 2
Phase angular difference between the two can be determined if the two local
clocks are synchronized.Synchronizing pulses obtained from
GPS satellites.
Monitoring: Old World
More Nuanced Information Available from WAMS
IEEE Power and Energy Magazine Jan/Feb 2008
Control: Old World
Area 1
Area 2
GovernorsAutomatic Voltage RegulatorsHVDC, Protection SchemesALL use local or near local feedback signals. Governors: system wide co-ordination
Emergency controls
U/f relayingTransfer trip
Ptie
Automatic Generation ControlNon-Local - slow
HVDC link
Power Transient and Control “Spectrum”
CO
NTRO
LSTRAN
SIE
NTS
Lightning/Switching
Slower Network / Torsional Transients
Prime Mover DynamicsSlow Frequency Change
Rotor Relative Angle Dynamics
Aggregate Load Changes
0.01 0.1 1 10010 1000 10000second
Equipment protection, Power Electronic Controls
System Protection Schemes
Governor, Prime Mover controls
Manual Control
PART – II WIDE AREA PHENOMENA IN POWER
SYSTEMS
Wide Area Phenomena RevisitedWhat are Wide Area Phenomena ?
Synchronous Grids: • Frequency same throughout the
grid (in steady state)• Power Flow – a function of phase
angle differences FREQUENCY AND ANGLE STABILITY
Two Synchronous MachinesOpen Circuit Phase 'a' Voltage Waveform
N
S DC
N
S DC
t=0
Machine 1
Machine 2
Snapshot at t=0 for both machines, speeds same
V1
V2
V1
V2
Transmission Line Model (Quasi-Sinusoidal Steady State)
Induction Generators ?
Three phase power is constant for balanced sinusoidal steady state
Three phase power (sinusoidal steady state) is proportional to sin (1-2)
Power
Lumped Two Port ModelV1 1 V2
Synchronous Links
Synchronous machines interconnected with AC lines
N
SDC
N
SDC
TransmissionLine
Induction Generators ?
LoadPower
LoadPower
Mechanical Power
Electrical Power
Understanding Angular / Frequency Stability – Multi-machine system
Relative motion (swing)
Centre of Inertia motion( depends on sum of forces : Fg1+Fg2+Fg3-FL1-FL2-FL3 )
Fg1
Fg2Fg3FL3 FL2FL1
Relative motion (swing)
Plots of Generator Speeds under different situations- multi-machine
Sudden Load Throw OffStable Common and Relative Motion
Sudden Generation TripStable Common and Relative Motion
Large Disturbance Angular Instability : Loss of Synchronism
Small Disturbance Angular Instability : Growing Oscillations
(triggered by any disturbance: big or small)
Frequency Stability: Centre of Inertia Motion
Angular Stability Small Disturbance
Angular Stability Small Disturbance
Synchronous Links
Synchronous machines interconnected with AC lines
N
SDC
N
SDC
TransmissionLine
Induction Generators ?
LoadPower
LoadPower
Mechanical Power
Electrical Power
Loss of Synchronism / Out of Step Operation – Idealized Scenario
Not Acceptable !Distance Relays trip
Uncontrolled System Separation
Loss of Synchronism : Lab Experiment
System SeparationIndian Blackout of 30th July 2012
Picture Courtesy: POSOCO, India
Cut Set of Separation
Loss of Synchronism Indian Blackout of 30th July 2012
PART – IIIA simple-to-implement Wide Area
Measurement System
Interesting Observations of Wide Area Phenomena
PART – IV & VWide Area TechnologyWide Area Applications
WAMS - Technology
Phasor Measurement Units
Computing Phasors Instantaneous waveform sampled at a
high rate
Moving window DFT (half or full cycle)
Magnitude and angle information obtained
Computing Phasors
samples
Moving window
Half cycle DFTComputations performed on the samples within a half cycle window.The window is attached to the latest sample.
Important Notes Phasors continuously computed Magnitude/Angle information transmitted
every 20-40 ms along with time stamp Time stamp obtained from local clock -
synchronized with all other PMU clocks using GPS signal.
Transmission of sample points of instantaneous waveforms is not envisaged (except possibly if protection application is desired)
Important Notes (Standards) Reference : Cos or Sin ? Time Stamp of beginning of
window/middle of window/end of window ? Protocols: UDP/TCP ? Positive Sequence or all three phases ? Measurement Bandwidth ? Maximum Permissible Errors (Total Vector
Error)
Communication Peer-to-peer communication
Typically for protection applications where even instantaneous samples at a high rate (e.g., 50 samples per cycle) may have to be transferred. Communication delays or latencies small.
Communication on a networkPower system monitoring, protection (i.e. system protection) and control
Mix of the both
Integration of PMU data
Communications Though many communication media possible, fiber optic
provides, by and large, the most secure and fast communication medium.
Latencies ? 30-50 ms . Larger delays may preclude design of fast system protection schemes.
Choosing a phasor reporting rate of 60 phasors/sec 1 voltage, 5 currents, 5 MW measurements, 5 MVAr
measurements, frequency, and rate of change of frequency – all reporting as floating point values – bandwidth of 64,000 bps.
A data reporting rate of 12 phasors / second for 1 voltage, 5 currents, and frequency – reported in 16 bit integer format – can be accommodated over a 4800 bps channel.
Latencies between Occurrence of Actual phenomena and reporting of phasors
CT/PT
Window size of the DFT
Processing time
Data size of the PMU output
Multiplexing and transitions
Communication distance
Data concentrators
Large DistancesInvolved ~ 1000 km
IMPORTANT: NOT TO SCALE
WAMS Applications “Low hanging fruit”
Real Time Monitoring(e.g., Angle – time curves)
Better pictureBuild-up of oscillations or monotonous decline
of voltages or frequency. Challenges : Follow-up Action ?
Post_Mortem Analysis(reduction in investigation time)
Online Damping Estimators
Power System“Ambient” Disturbances
WAMSMeasurements
Prony Analysis
EstimateDampingOf Swing Modes
Power System
Step Changes
WAMSMeasurements
System IDEstimateDampingOf Swing Modes
Power System
Multi-sine ProbingSignals
WAMSMeasurements
FFT
EstimateDampingOf Swing Modes
FFT
PACIFIC DC INTERTIE
BRAKING RESISTOR
Offline Method
WAMS Applications Benchmarking and parameter
validation(modeling errors)Systematized procedure required.
Power System RestorationBetter picture – better confidence level – better decisions.More remote actions–Remote synchronization?
WAMS Applications State Estimation
Incremental Enhancement of exist state estimators using additional measurements available
Complete renovation of state estimators with synchronized measurements- requires large scale deployment of PMUs for observability. The future ?
Utility Boundary Conditions: Areas can represent other Areas by equivalents at boundaries
WAMS Applications Islanding Detection Loss of Synchronism detection
The big ideas: Use WAMS for improving system dynamics (EMERGENCY CONTROL)
ClassificationSTABILITY IMPROVEMENT
Preventive ControlOperator Actions based on
Online Contingency Analysis
Slow. Critical contingency has not actually occurred but may potentially occur
Emergency ControlPre-designed
Automatic ControlActions (Discrete)
Fast.Critical Event has occurred, transient is evolving dangerously.
Damping ControlContinuous, Automatic Feedback
Control
HVDC, PSS, SVCetc. --- controllers always in operation.
Some “overlap”
How can WAMS help ? Angular instability :
Predict of out of step in real time -> trigger control actions like gen/load tripping or dynamic brake to prevent loss of synchronism.
OR Allow graceful system separation -- intelligent load/gen
tripping to stabilize frequency and voltage in island
Former is preferable - no resynchronization of systems BUT how does onea) Predict out of step in real time ?
b) Determine quantum of control actions ?
For controlled system separation :Adaptive choice of separation points conceivable
System Separation: Typical Cut Set
System Separation: Controlled Islanding
Courtesy : Tata Power
Predicting Instability is tough!
Predicting Instability is tough!
Faster than Real Time Simulation
A Bit too Ambitious ?
How can WAMS help ? Frequency Control:
Under Frequency Relaying:Local frequency contaminated due to swings (1-2 Hz). df/dt should not trigger on swings but on “common” motion.
Solution: filter, but filtering will involve delay.
Rate of Change of Center of Inertia Speed (NOT LOCAL)
Reflects actual power deficiency. Need to know total inertias (will need to know whether islanded or not, which generators in island)
FREQ
DF/DT
COIDF/DT
COI Speed ?
Issues Loads are voltage and frequency dependent: any
logic for restoring load generation balance should account for this (potential for over-shedding).
Lesser number of PMUs: Observability issues Models and Data
Classification
Purely localNon-local Local with Non-local supervision
Dependability versus SecurityIncorrect Action can be very harmful
Emergency Control: Issues
Dependability versus SecurityGlobally Supervised Local ControlReliability of purely global scheme ?
Comm. Latency + Processing Time available window for action after initiation of critical contingency is small. For transient instability and islanding events (~1s)
Industry Experience with SPS schemesIEEE TPWRS, Vol. 11, No.3 1996Survey of SPS schemes mainly in USA,
Canada, Europe, Japan, Australia
49 utilities, 17 countries and 111 schemes
This survey was done before the advent of WAMS
Industry Experience (IEEE- CIGRE Committee Report and Survey)
12.6Others
11.7Combination of Schemes
1.8VAr Compensation
1.8Generator Runback
1.8Dynamic Braking
1.8Discrete Excitation Control
2.7Out of Step Relaying
3.6HVDC Control
4.5Stabilizers
4.5Load and Generator Rejection
6.3Turbine Valve Control
6.3System Separation
8.2U/f Load Shedding
10.8Load Rejection
21.6Generator Rejection
%Type of Emergency Control
“……. the system condition requiring action does not occur often, but when it does occur, the SPS usually performs its function correctly”
Human Error
Incorrect Setting
Hardware Failure
Software Failure
Inadequate Design Other
0
5
10
15
20
25
30
35
40
45
This is before the advent of WAMS
This is before the advent of WAMS
Operational Statistics
Summary over 1986-1992Successful Operations : 1093Failures : 36Un-successful operations : 20Unnecessary operations : 306
This is before the advent of WAMS
WAMS applications Protection
Power Swing blockingImproved back up protectionCurrent Differential protection
Relay Vulnerability Analysis
Continuous Closed Loop Control ???e.g., Stabilizers using global signals
Require to accurately determine the communication latencies for continuous control
---- Modal speed signals for selective damping
Conclusions
WAMS: Way to the future Better monitoring and control