End-User Mitigation, Long Duration Voltage Variations - Slides | ECE 528, Study notes of Electrical and Electronics Engineering

Material Type: Notes; Professor: Ortmann; Class: Understanding Power Quality; Subject: Electrical & Computer Engr; University: University of Idaho; Term: Unknown 1989;

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Pre 2010

Uploaded on 08/19/2009

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Lecture 29
1
ECE 528 – Understanding Power Quality
Paul Ortmann
208-733-7972 (voice)
208-736-3248 (fax)
http://www.ece.uidaho.edu/ee/power/ECE528/
Lecture 29 2
Today…
Finish long duration voltage variations
End-user mitigation
Power quality and reliability benchmarking
Definitions
Motivation
Issues
–Trends
RMS Voltage variations
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Lecture 29

1

ECE 528 – Understanding Power Quality

Paul Ortmann [email protected] 208-733-7972 (voice) 208-736-3248 (fax)

http://www.ece.uidaho.edu/ee/power/ECE528/

Lecture 29 2

Today…

  • Finish long duration voltage variations
    • End-user mitigation
  • Power quality and reliability benchmarking
    • Definitions
    • Motivation
    • Issues
    • Trends
    • RMS Voltage variations

Lecture 29 3

End-user mitigation of

Long-duration voltage variations

  • Ferroresonant transformers
    • Very constant voltage output over a wide range of voltage input
    • Must be oversized
    • Best for relatively constant load – not suitable for motors
    • Inefficient

Lecture 29 4

End-user mitigation of

Long-duration voltage variations

  • Electronic tap-changing transformers or

regulators

  • Use solid-state switches to quickly switch between taps
  • Can provide voltage in a narrower range than supplied by the utility - One example: - Input: +10% to -20% of nominal - Output: +/- 2.5% of nominal

Lecture 29 7

Power Quality and Reliability Benchmarking:

Defining terms (PSQ Ch. 8)

  • Aggregation
    • Grouping events within a time period or only considering the worst event in the time period
  • Benchmark
    • A standard against which performance is measured
  • Benchmarking
    • The process of evaluating performance against some standard level of performance
    • Uses one or more defined indices or metrics

Lecture 29 8

Defining terms

  • Index or metric
    • A specific measured parameter
      • For each index or metric, we need to know:
        • What is measured and how
        • How often it’s measured
        • The benchmark for that index
        • The target for that index
  • Target
    • Goals for specific indices based on benchmarks, local constraints, and specific objectives

Lecture 29 9

Motivation – why benchmark?

  • Benchmarking helps drive improvement
    • Under-performing areas can be identified
    • “Best practices” can be determined
  • Helps ensure fact-based decision making
    • The power quality may seem good or bad, but is it?
    • How good or bad is it, specifically?
  • Benchmarking helps establish a common set of measurable expectations - Regulators, utilities, and customers can agree to, and document indices and benchmarks

Lecture 29 10

The value of a common set

of measurable expectations

Energy Consumer

Energy Provider Perceptions

Receivables & Deliverables

Rights & Duties

Rights & Duties

Delivered Products & Services

Received Products & Services

1

4

3

2

Lecture 29 13

Benchmarking issues

  • Not reasonable to expect the same

performance across all transmission and

distribution systems

  • Geography
  • Weather
  • System density/feeder length
  • Underground/overhead
  • Protection scheme
  • Animals/vehicles/vegetation

Lecture 29 14

Trends

  • Standards have been and are being

developed which combine power quality

and reliability indexes and benchmarks

  • In Europe, EN 50160: “Voltage

characteristics of electricity supplied by

public distribution systems”

  • In the US – Work is underway to establish

“Service Quality Indices”

Lecture 29 15

EN50160 (pg 292)

  • Sets limits for:
    • Frequency
    • Voltage sags
    • Interruptions (short and long (>3 min))
    • Voltage unbalance
    • Voltage harmonics, and more
  • Generally specifies acceptable limits, measurement interval, length of recording, and acceptance percentage.
  • Example: Voltage sampled every 10 minutes for a week will be within 10% of nominal 95% of the time.

Lecture 29 16

US Service Quality Benchmarking

  • A Service Quality Index combining power quality and reliability measures has been proposed. - Not adopted yet
  • Purpose is to reflect customer quality and reliability requirements and expectations
  • EPRI project 1010199
  • IEEE paper “Quantifying Reliability and Service Quality for Distribution Systems” – by Mark F. McGranaghan, 2007

Lecture 29 19

Applications of RMS variation indices

(see pg. 90+ for reliability indices)

  • SARFIx, STARFIx, SMARFIx, and STARFIx

can be determined for the system and for

individual feeders or areas

  • Feeders with below-average values can be

targeted for improvement

  • Feeders with above-average values can be

studied for best practices

Lecture 29 20

Next time…

  • More power quality and reliability

benchmarking

  • Harmonic indices
  • Looking at real-world data
  • Read chapter 8