Power Optimization of Energy Management System in Modern Power Generation Industry

Course Code: EEC 1051

406 Course Visits

Course Sector:

Electrical Engineering

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Course Dates and Locations

Choose a date and location to book your seat

No.

Date

Days

Location

Fees

Enrollment

08 - 12 Sep 2025

5 Days

Dubai, UAE

$4,250

14 - 18 Dec 2025

5 Days

Muscat, Oman

$4,250

22 - 26 Dec 2025

5 Days

Vienna, Austria

$4,950

Introduction

Training course introducion / brief

The efficient and economically optimal operation of electric power generation systems has always been a cornerstone of the power industry. Historically, fuel costs accounted for approximately 20% of total revenues for U.S. electric utilities. However, the oil embargo of 1973 and subsequent fuel price escalations have intensified the need for advanced optimization techniques in power system operations.

This course addresses critical engineering challenges that have gained renewed importance in recent years. While traditional economic dispatch problems for thermal systems were solved decades ago, the advent of deregulated markets, advanced computational tools, and sophisticated algorithms has transformed the landscape. Today, power system optimization involves not only optimal dispatch but also pricing commodities, market settlements, and hedging strategies.

This course provides a comprehensive, skill-building overview of optimization techniques, including linear and nonlinear methods, optimal power flow, locational marginal pricing, and auction-based hedging instruments. It is designed to equip power professionals with the knowledge and tools needed to succeed in today’s dynamic and competitive energy markets.

Apply up-to-date knowledge and skills in power system optimization and energy management.
Analyze the characteristics of power generation units and their impact on transmission systems.
Solve economic dispatch problems for thermal units using advanced methods.
Understand unit commitment strategies and generation with limited energy supply.
Develop and interpret production cost models.
Evaluate power interchange and its economic implications.
Implement power system security measures and state estimation techniques.
Solve optimal power flow problems using modern optimization algorithms.

Electrical Engineers
Power Systems Engineers
Design and Project Engineers
Controls and Instrumentation Engineers
Reliability Engineers
Test and Research Engineers
Power Distribution Engineers
Technicians and Analysts in the Power Sector

Module 1: Characteristics of Power Generation Units

1.1 Characteristics of Steam Units
1.2 Variations in Steam Unit Characteristics
1.3 Cogeneration Plants
1.4 Typical Generation Data

Module 2: Economic Dispatch of Thermal Units

2.1 The Economic Dispatch Problem
2.2 Dispatching with Network Losses
2.3 Lambda-Iteration Method
2.4 Gradient-Based Methods
2.5 Piecewise Linear Cost Functions
2.6 Dynamic Programming Applications
2.7 Base Point and Participation Factors
2.8 Economic Dispatch vs. Unit Commitment
2.9 Optimization with Constraints

Module 3: Transmission System Effects and Unit Commitment

3.1 Power Flow Problem and Solutions
3.2 Transmission Losses
3.3 Input Data for Power Flow Analysis
3.4 Hydro and Fuel Constraints
3.5 Unit Commitment Solution Methods
3.6 Dual Optimization for Nonconvex Problems

Module 4: Generation with Limited Energy Supply

4.1 Introduction to Limited Energy Supply
4.2 Take-or-Pay Fuel Contracts
4.3 Composite Generation Models
4.4 Gradient Search Techniques
4.5 Handling Hard Limits and Slack Variables
4.6 Fuel Scheduling via Linear Programming

Module 5: Production Cost Models

5.1 Introduction to Production Cost Modeling
5.2 Types and Applications of Production Cost Programs
5.3 Probabilistic Production Cost Models
5.4 Sample Computations and Exercises
5.5 Probability Methods in Generation Planning

Module 6: Interchange of Power and Energy

6.1 Economy Interchange between Utilities
6.2 Evaluation of Economy Energy Transactions
6.3 Interchange with Unit Commitment
6.4 Multi-Utility Transactions
6.5 Power Pools and Their Role
6.6 Transmission Effects and Challenges
6.7 Transactions with Nonutility Parties

Module 7: Power System Security and State Estimation

7.1 Factors Affecting Power System Security
7.2 Contingency Analysis and Network Detection
7.3 Introduction to State Estimation
7.4 Weighted Least-Squares Estimation
7.5 Orthogonal Decomposition Methods
7.6 Applications of State Estimation
7.7 Optimal Power Flow Solutions
7.8 Linear Sensitivity Analysis
7.9 Security-Constrained Optimal Power Flow
7.10 Interior Point Algorithms
7.11 Bus Incremental Costs

Boost certificate of completion

BOOST's Professional Attendance Certificate “BPAC” is always given to the delegates after completing the training course, and depends on their attendance of the program at a rate of no less than 80%, besides their active participation and engagement during the program sessions.

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Flexible deadlines

Customized dates accordance to your schedule

Shareable Certificate

Earn certificate upon completion

COURSE METHODOLOGY

Our Training programs are implemented by combining the participants' academic knowledge and practical practice (30% theoretical / 70% practical activities).

At The end of the training program, Participants are involved in practical workshop to show their skills in applying what they were trained for. A detailed report is submitted to each participant and the training department in the organization on the results of the participant's performance and the return on training. Our programs focus on exercises, case studies, and individual and group presentations.

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TRAINING COURSE: Power Optimization of Energy Management System in Modern Power Generation Industry