c i f i c a DIgSILENT Pacific P Power system engineering and - - PowerPoint PPT Presentation

c i f i c a
SMART_READER_LITE
LIVE PREVIEW

c i f i c a DIgSILENT Pacific P Power system engineering and - - PowerPoint PPT Presentation

c i f i c a DIgSILENT Pacific P Power system engineering and software T N Validation of solar power plant dynamic model E using commissioning test measurements L Desmond Chong Technical Seminar PowerFactory 2020 I 14 February 2020


slide-1
SLIDE 1

DIgSILENT Pacific

Power system engineering and software

Validation of solar power plant dynamic model

using commissioning test measurements

Desmond Chong Technical Seminar PowerFactory 2020 14 February 2020

D I g S I L E N T P a c i f i c

slide-2
SLIDE 2

2

DIgSILENT Pacific’s NEM experience during 2017-19:

  • Over 20 solar farms
  • Located in VIC, NSW and QLD
  • Designed 1,900 MW
  • Commissioned 920 MW

D I g S I L E N T P a c i f i c

slide-3
SLIDE 3

Agenda

3

  • NEM commissioning journey
  • Model validation tests
  • Model overlay examples
  • Challenges during model validation process
  • Reflections on model validation methodology
  • Conclusions

D I g S I L E N T P a c i f i c

slide-4
SLIDE 4

Commissioning journey in NEM

4

3 months before

  • Model assessment
  • Technical study
  • Commissioning

program

During commissioning

  • Load profile
  • Pre-test simulation
  • Hold point tests

3 months after

  • Compliance

assessment results

  • Model validation

using test measurements

Require model

  • verlay with

measurement

D I g S I L E N T P a c i f i c

slide-5
SLIDE 5

Hold point testing

5 Tests at pre-defined MW level Hold point report (20 – 400+ pages) Compliant with technical performance standard?

Yes

Meet model accuracy requirements?

Yes

Next hold point / unrestricted commercial

  • peration

No

Provide technical justification

No

Repeat technical studies with new model/settings Approved by AEMO and NSP?

Yes No

Pose system security threat?

No Yes

Good justification can avoid repeat of tests

D I g S I L E N T P a c i f i c

slide-6
SLIDE 6

Solar power plant dynamic model validation

  • Inverter and power plant controller (PPC) dynamic models to be validated
  • Equivalent lumped collector network model is mainly used in the model validation
  • Model validation test type:
  • Reactive power (or power factor) step test
  • Voltage step test
  • Active power ramping test
  • Frequency control test
  • External voltage disturbance test (e.g. capacitor switching test)
  • Reactive power capability assessment
  • Fault-ride-through performance is difficult to be validated on site

6

PPC

P command Q command V, I

D I g S I L E N T P a c i f i c

slide-7
SLIDE 7

Measurement for commissioning tests

7

Meter requirements:

  • Time synchronised with other

meters

  • High speed monitoring (sampling

rate >10kHz)

  • Calibrated
  • Independent of the control

system

HV and MV terminals

  • f main

transformer Inverter LV terminal electrically CLOSEST to MV collector bus Inverter LV terminal electrically FURTHEST to MV collector bus

D I g S I L E N T P a c i f i c

slide-8
SLIDE 8

Model overlay example 1 - Voltage step tests

8

D I g S I L E N T P a c i f i c

slide-9
SLIDE 9

Model overlay example 2 – Active power ramp tests

9

D I g S I L E N T P a c i f i c

slide-10
SLIDE 10

Model overlay example 3 – Capacitor switching tests

10

D I g S I L E N T P a c i f i c

slide-11
SLIDE 11

Challenge 1 – Reduced number of inverters

11

Original MVA base Original PPC gain Reduced MVA base Original PPC gain Reduced MVA base Reduced PPC gain Measurement

D I g S I L E N T P a c i f i c

slide-12
SLIDE 12

Challenge 2 – Low sampling rate of PPC meter

12

  • PPC cycle time ≈ 100ms
  • Default sampling rate of PPC meter

= 200ms (or 1s)

  • Model alignment becomes an issue

when sampling rate ≥ 200ms

  • Nyquist sampling theorem, i.e.

<50ms sampling rate

D I g S I L E N T P a c i f i c

slide-13
SLIDE 13

Challenge 3 – Different frequency step application

13

On site setup Model simulation setup

D I g S I L E N T P a c i f i c

slide-14
SLIDE 14

Challenge 4 – Variation in solar irradiance

14

D I g S I L E N T P a c i f i c

slide-15
SLIDE 15

Reflections on model validation methodology

  • Existing generating system model validation requirements used in NEM are mainly developed based on

synchronous machine commissioning test experience

  • Differences between synchronous machine and inverter technologies:

15

Synchronous machine Inverter Each generating system is unique Inverter system design is standardised and modular PID control can be measured on-site Inverter control algorithms are “blackbox” Generating system responses are relatively slower Generating system responses can be very fast

D I g S I L E N T P a c i f i c

slide-16
SLIDE 16

Reflections on model validation methodology

In light of differences between synchronous machine and inverter technologies, reconsideration of the model validation objectives and methodology is needed: 1. For the same inverter type, is it better to perform type testing at the OEM factory with site-specific settings downloaded to the inverters? 2. Can conventional RMS model accurately represent sophisticated power electronic inverter and controls? 3. Is it still reasonable to expect plant measurement to align very closely with simulated response? 4. How will the commissioning tests and model validation process be affected by supporting plants within the solar power plants (e.g. synchronous condenser, battery storage)?

16

D I g S I L E N T P a c i f i c

slide-17
SLIDE 17

Conclusions

  • Solar power plant commissioning is relatively a new experience in NEM (and probably elsewhere in the world)
  • Different grid operators have different requirements and methodologies
  • More and more requirements in time
  • Cause delay in commissioning timeframe and increase in cost
  • Model validation process is valuable as it enables better understanding of the solar power plant performance

and capability

  • This is the main reason for sharing this commissioning experience
  • In order to streamline the model validation process, it is good practice to ensure that:
  • Model parameters are consistent to the actual plant configuration
  • Detailed test log is kept
  • Measurement equipment is calibrated

17

D I g S I L E N T P a c i f i c

slide-18
SLIDE 18

Power system engineering and software

DIgSILENT Pacific

D I g S I L E N T P a c i f i c