Course Details

This course is appropriate for a wide range of professionals but not limited to:

• Power System Planning Engineers
• Reliability Assessment Specialists
• System Operations Analysts
• Grid Code and Compliance Officers
• Utility Consultants and Researchers

• Expert-led sessions with dynamic visual aids
• Comprehensive course manual to support practical application and reinforcement
• Interactive discussions addressing participants’ real-world projects and challenges
• Insightful case studies and proven best practices to enhance learning

By the end of this course, participants should be able to:

• Explain the fundamental concepts and definitions of power system reliability correctly.
• Apply basic probability theory and reliability modeling techniques successfully.
• Evaluate the reliability of generation systems using capacity adequacy indices reliably.
• Assess transmission and distribution system reliability using key performance indicators accurately.
• Utilize simulation methods like Monte Carlo for complex reliability analysis effectively.
• Implement strategies to improve system reliability and reduce customer interruption costs safely.

DAY 1

Fundamentals of Reliability Engineering

• Welcome and Introduction
• Pre-test
• Definition of power system reliability and security
• Importance and economic consequences of unreliability
• Basic concepts of probability theory and random variables
• Reliability function, failure rate, and mean time to failure (MTTF)
• Component reliability models: series and parallel configurations
• Introduction to Markov models and state-space diagrams

DAY 2

Generating Capacity Reliability Assessment

• Generating unit modeling and outage probability tables
• Loss of Load Expectation (LOLE) index calculation
• Loss of Energy Expectation (LOEE) index determination
• Application of the frequency and duration approach
• Impact of forced outage rates (FOR) and scheduled maintenance
• Interconnecting capacity with reserve margin calculation

DAY 3

Transmission System Reliability

• Modeling of transmission lines and substations for reliability
• Analysis of cascading outages and system isolation events
• Reliability assessment using contingency analysis methods
• Impact of component repair rates and switching times
• Application of reliability indices: SAIDI, SAIFI, and CAIDI
• Reliability criteria and standards used in transmission planning

DAY 4

Distribution System Reliability and Indices

Modeling radial and loop distribution system configurations

Calculation of distribution system reliability indices (ASAI, ENS)

Techniques for analyzing feeder and lateral reliability

Impact of fault location and protective devices on indices

Strategies for reliability improvement in distribution systems

Reliability-centered maintenance (RCM) application in distribution

DAY 5

Advanced Methods and Risk Management

• Introduction to Monte Carlo simulation for reliability assessment
• Utilizing commercial software for large-scale system reliability studies
• Risk-based planning and decision-making processes
• Application of reliability to asset management and life extension
• Integration of smart grid technology and reliability enhancement
• Post-test
• Certificate ceremony