Damping Inter-area Oscillations through Decoupled Modulation

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Damping Inter-area Oscillations through Decoupled Modulation Ruisheng Diao, Henry Huang (project lead), Shaobu Wang, Renke Huang Pacific Northwest National Laboratory [email protected] June 7-8, 2016 Washington, DC DOE/OE Transmission Reliability Program

Transcript of Damping Inter-area Oscillations through Decoupled Modulation

Page 1: Damping Inter-area Oscillations through Decoupled Modulation

Damping Inter-area Oscillations through Decoupled Modulation

Ruisheng Diao, Henry Huang (project lead), Shaobu Wang, Renke Huang

Pacific Northwest National Laboratory [email protected]

June 7-8, 2016 Washington, DC

DOE/OE Transmission Reliability Program

Presenter
Presentation Notes
Page 2: Damping Inter-area Oscillations through Decoupled Modulation

Complex interactions of multiple inter-area oscillation modes

• 0.17 Hz N-S mode • 0.32 Hz Alberta mode • 0.5 Hz E-W mode • 0.55 Hz Montana mode

Credit: Dan Trudnowski

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Controller design facing interference between oscillation modes

Modulation Gain

Dam

ping

Rat

io

0.25 Hz

0.31 Hz Modulation

Control

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Problem formulation and objective

• Problem – interference of modes: – Design Issue: Signal selection is more complex and constrained by signal

availability – Design Issue: Parameter tuning is more limited due to compromises – Operational Issue: Possibility of adverse impact on damping of one mode while

improving damping of another mode

• Objective – minimize interference in modulation control: – Develop a modulation control that decouple the modes – Enable multiple modulation controllers, one per mode, at the same location

• Opportunities: – Wide-area phasor measurements – Available HVDC and FACTS devices, e.g. PDCI

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Technical approach: decouple mode interference by decoupling signals • Supported by linear system

theory • Leveraging filtering techniques • Easier signal selection and

parameter tuning • Less concern about negative

operational impact

M a j o r i n t e r a c t i o n p a t h

" I n d e x " g e n e r a t o r

S U N D A N C E

K E M A N O M I C A

C O L S T R I P

P A L O V E R D E

H O O V E R

G R A N D C O U L E E

M E A D F O U R C O R N E R S

S H A S T A

C A N A D A

M E X I C O

G M S H R U M

Map Credit: John Hauer

Modulation signal: ΔPref

+

Modulation

Signal collection/filtering

Mode 1

Signal decoupling

Phasor Data

Mode 2 Mode 3

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Accomplished Deliverables in FY15

# Milestone/Deliverable Target Date

1

Proof-of-concept studies of decoupled modulation control using simulated data with comparison against traditional modulation control.

11/30/2015

2

Development of real-time signal-decoupling methods to separate frequency contents. 2/29/2016

3

Technical report of the design of decoupled modulation control. 5/31/2016

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A real-time signal decoupling approach via band-pass filter • Idea: to introduce a band-pass filter to allow certain frequency

components of an input signal to pass through, to a traditional PSS – Goal: to eliminate other frequency components while keeping a

small range

• Filter design

7

Filter PSS

Rotor speed or Active power Vs

Filtered signal

0

2 200

( )s

QF ss s

Q

ω

ω ω

=

+ +

0 0 / 2f ω π= is the center pass frequency

Q is the quality factor

J. Zhang, C. Y. Chung and Y. Han, “N novel modal decomposition control and its application to PSS design for damping interarea oscillation in power system,” IEEE Trans. Power Syst

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0 2 4 6 8 10 12 14 16 18 201.93

1.935

1.94

1.945

1.95

1.955

t/s

Rea

l pow

er in

tie-

line

0 1 2 3 4 5 6 7 8 9 100

1

x 10-4

Frequency

Ampl

itude

0.72Hz

Performance test

• 2-area 4-machine system • Two major oscillation modes

– 0.72 Hz – 1.15 Hz

Applying a filter to eliminate the 0.72 Hz mode 0 2 4 6 8 10 12 14 16 18 20

1.93

1.935

1.94

1.945

1.95

1.955

0 1 2 3 4 5 6 7 8 9 100

0.5

1

1.5

2

2.5

3

3.5

4x 10

-3

Frequency

Ampli

tude

1.15Hz

0.72 Hz

Tie-line flow Frequency spectrum

Tie-line flow Frequency spectrum

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An eigen-analysis based approach

• Goal: to extract pure mode(s) from state trajectories

• Currently, we are using power system state variables to extract the

desired modes

• In future work, we will use available PMU measurements to extract the target modes for decoupled modulation control

1( ) ( )t t−= ∆z u xHere ( )t∆x is the system state variables which can be obtained from state estimation; ( )tz is the decoupled modes signals which are the feedback signals in the decoupled modulation control.

Presenter
Presentation Notes
X is the vector of system states, e.g., 35 . PSS installed on one generator only Z is the same size of X. U has a size of 35*35 From system DAEs, get A matrix, do eigen analysis, get eigen vectors. The sequence of eigen values correspond to the z vector. Controls are tuned offline, once determined, A won’t change for the current operating condition, z time sequence is calculated by x vector. Pick the only signal to feed into PSS or other controllers, without affecting others.
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Preliminary testing on the 2-area system • Decoupled modulation

PSS Vs Pure signal Z(t)

Real parts of eigenvalues

-10 -9 -8 -7 -6 -5 -4 -3 -2 -1 0

Imag

inar

y pa

rts o

f eig

enva

lues

5

10

15

Locations of eigenvalues before control

Locations of eigenvalues after decoupled control

Movement of the target eigenvalue

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Next steps

• Design of decoupled modulation control for PSS, HVDC, and load, based on decoupled signal contents

• Evaluation of decoupled modulation control with small- to medium-size test systems on commercial simulation platforms

• Engage appropriate industry groups (e.g. JSIS) and stakeholders (e.g., BPA)

• Planned activities and schedule Task Description Duration

1 Design damping control strategies based on decoupled modulation

12 months

2 Extend decoupled modulation based damping control to HVDC networks

12 months

3 Develop damping-control strategies based on load modulation

12 months

4 Proof-of-concept testing of different damping-control strategies

12 months

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Thanks! Questions?