Length: 2 Days
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Introduction to NERC Undervoltage Load Shedding System Maintenance and Testing Training by Tonex

This comprehensive training course, “Introduction to NERC Undervoltage Load Shedding System Maintenance and Testing,” offered by Tonex, provides participants with an in-depth understanding of the NERC (North American Electric Reliability Corporation) undervoltage load shedding system. The course focuses on maintenance and testing practices essential for ensuring the reliability and resilience of power systems.

Learning Objectives:

  • Gain a thorough comprehension of the NERC undervoltage load shedding system.
  • Develop proficiency in maintenance procedures to enhance system longevity.
  • Acquire hands-on testing skills for effective system performance evaluation.
  • Understand the regulatory and compliance aspects related to NERC standards.
  • Explore troubleshooting techniques to address potential system malfunctions.
  • Enhance decision-making abilities for optimal system operation.

Audience: This course is designed for power system engineers, maintenance technicians, electrical engineers, and professionals working in the energy sector. It is also suitable for individuals involved in compliance management and regulatory affairs within the power industry.

Course Outline:

Module 1: Introduction to NERC Undervoltage Load Shedding System

    • Overview of NERC Standards
    • Importance in Power System Reliability

Module 2: Maintenance Best Practices

    • Routine Inspections
    • Preventive Maintenance Strategies
    • Component Replacement
    • Upgrade Considerations

Module 3: Testing Techniques for System Evaluation

    • Hands-On Training
    • Effective Load Shedding System Tests
    • Analyzing Test Results

Module 4: Regulatory Compliance

    • NERC Regulatory Requirements
    • Industry Standards Compliance

Module 5: Troubleshooting and System Diagnostics

    • Identifying Common Issues
    • Troubleshooting Methodologies
    • Swift Issue Resolution

Module 6: Decision-Making for Optimal System Operation

    • Utilizing Data and Analytics
    • Informed Decision-Making
    • Improving System Efficiency

 

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