EE 653 RELIABILITY PROJECT

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EE 653 RELIABILITY PROJECT

• HISTORICAL DISTRIBUTION SYSTEM RELIABILITY
  ASSESSMENT
  
• Presented by
• Muhammed Rahim
• MidAmerican Energy Company
• Davenport, IA

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INTRODUCTION

• Importance of Reliability in Power Systems
• Distribution System Reliability Assessment
• Types of Reliability Assessments
• - Historical Reliability Assessment
• - Predictive Reliability Assessment

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HISTORICAL ASSESSMENT

• What is Historical Reliability Assessment?
• Importance of Historical Reliability Assessment
• Indices used in Historical Reliability
  Assessment SAIFI, SAIDI and CAIDI

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SAIFI, SAIDI CAIDI

• SAIFI TOTAL CUSTOMER INTERRUPTIONS/TOTAL
  CUSTOMERS SERVED
  
• SAIDI TOTAL CUSTOMER-HOURS OF
  INTERRUPTIONS/TOTAL CUSTOMERS SERVED
  
• CAIDI TOTAL CUSTOMER-HOURS OF
  INTERRUPTIONS/TOTAL
  CUSTOMER INTERRUPTIONS

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DISTRIBUTION SYSTEM PERFORMANCE

• Example presented is derived from a typical
  utility (XYZ) 1997 to 2000
  
• XYZ Corporate Level
• XYZ Regional Level North, Central and South
• XYZ Individual Feeder Circuit Level

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CLASSIFICATION OF INTERRUPTION

• Transmission/Substation
• Tree Contacts
• Equipment Overhead/Underground
• Weather
• Utility Error
• Public
• Animal
• Unknown/Other

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SUB-COMPONENT FAILURES

• Substation Breakers
• Transformers
• Conductors
• Arresters
• Fuses
• Insulators

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XYZ CORPORATE LEVEL RELIABILITY
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COMPARISONS
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XYZ NORTH REGION RELIABILITY
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XYZ CENTRAL REGION RELIABILITY
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XYZ SOUTHERN REGION RELIABILITY
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INDIVIDUAL FEEDER RELIABILITY

• Random Feeder chosen had the following
  reliability CAIDI 132.46, SAIDI 288.97,
  SAIFI 2.1815
  
• Feeder Reliability versus System Reliability
• Upgrade required and performed

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INDIVIDUAL FEEDER RELIABILITY (CONTD)

• List of 20 worst circuits prepared each year
  based on the reliability indices, for maintenance
  and upgrade.
  
• SAIFI, SAIDI, and CAIDI calculated for a given
  time period
  
• Indices assigned ranking values in terms of the
  proposed indices goal values
  
• Calculate combine ranking for each circuit by
  adding up the individual indices ranking values.

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CONCLUSION

• The distribution system makes the greatest
  individual contribution to the unavailability of
  supply to a customer
  
• The calculated performance statistics aid in the
  planning, operating and maintaining the
  distribution systems.

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• QUESTIONS?