HTME

COURSE OVERVIEW

EE0970 : Power System Blackouts, Restoration & Troubleshooting
OVERVIEW
COURSE TITLE : EE0970 : Power System Blackouts, Restoration & Troubleshooting
COURSE DATE : May 13 - May 16 2024
DURATION : 4 Days
INSTRUCTOR : Mr. Ehab Mohamed
VENUE : Dubai, UAE
COURSE FEE : $ 4500
Request For Course Outline
OTHER SCHEDULED DATES
Date : Aug 12 - Aug 15 (4 Days) Location : Abu Dhabi, UAE Classroom Fee (US$) : $ 4500 Course Info
Date : Nov 11 - Nov 14 (4 Days) Location : Al Khobar, KSA Classroom Fee (US$) : $ 4500 Course Info

Course Description

This practical and highly-interactive course includes reallife case studies and exercises where participants will be engaged in a series of interactive small groups and class workshops. Power system loads continue to grow in size and complexity. Reliability expectations continue to rise. Power systems themselves become larger and more complex in response to growing load and customer expectations. Indeed, power systems have become more difficult to analyze and operate. Recent power system blackouts have heightened the concern for power system security and, therefore, reliability. Major blackouts of electric power systems in which many customers are left without power are rare events. However, the effects of blackouts, for instance, can be catastrophic. It has been observed that protective system failures are a contributing factor in a large proportion of these blackouts during system disturbances. Nowadays, power systems are operating with lower and lower security margins. This is due to the prioritization of the electricity market deregulation, the load consumption increase, the difficulties to build new facilities such as transmission lines and large power plants, etc.Consequently, the vulnerability of power systems becomes a very important issue and the probability of large blackout tends to increase, as confirmed by the various incidents experienced in the past. Therefore, mastering the knowledge of different topics related to blackout inception and power system instability has become essential for researches and engineers involved in power system planning, operation and control. This course is designed to help power system professionals, planners and engineers gain ground on the power system blackout and restoration. This course provides an up-to-date description of the restoration methodologies and implementation strategies practiced internationally. Participants will learn how to identify precursors for blackouts and will practice the steps necessary to prevent them from occurring. The course will focus on mechanisms of blackouts, instability phenomena, modelling and analysis tools, preventive and curative measures and finally service restoration. link to course overview PDF

TRAINING METHODOLOGY

This interactive training course includes the following training methodologies as a percentage of the total tuition hours

Lectures
Workshops & Work Presentations
Case Studies & Practical Exercises
Videos, Software & Simulators

In an unlikely event, the course instructor may modify the above training methodology before or during the course for technical reasons.

VIRTUAL TRAINING (IF APPLICABLE)

If this course is delivered online as a Virtual Training, the following limitations will be applicable

Certificates: Only soft copy certificates will be issued to participants through Haward’s Portal. This includes Wallet Card Certificates if applicable
Training Materials: Only soft copy Training Materials (PDF format) will be issued to participant through the Virtual Training Platform
Training Methodology: 80% of the program will be theory and 20% will be practical sessions, exercises, case studies, simulators or videos
Training Program: The training will be for 4 hours per day starting at 09:30 and ending at 13:30
H-STK Smart Training Kit: Not Applicable
Hands-on Practical Workshops: Not Applicable
Site Visit: Not Applicable
Simulators: Only software simulators will be used in the virtual courses. Hardware simulators are not applicable and will not be used in Virtual Training

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