Curriculum
Curriculum List
| title | Power System Analysis |
|---|---|
| grade | Bachelor's Grade |
| Number Units | 3 |
| Course Prerequisites | Circuit Analysis, and Introductory Power Systems . Additionally, programming skills, e.g., Matlab, Python, ... are required. |
| Assessment Type | Final and mid-term exam, and also take-home assignments. |
| Teaching Method | The course will be pre-dominantly based on live classroom activities. Pre-recorded lectures, live lectures, guided problem-solving, problem-solving in groups, laboratory work, and project work (with presentation) are the various types of learning activities for the course. The course is given in Farsi. Assignment/Project tasks will also be based on the usage of ready-made simulation tools and self-created software tools using Matlab/Python. |
| Timing presentation lessons | According to the weekly schedule announced by the faculty. |
| reference | John J. Grainger, William D. Stevenson, and Gary W. Chang, "Power System Analysis," McGraw Hill International Edition, 2016. Additional References:
Hadi Saadat, "Power System Analysis", PSA Publishing, 3rd edition, 2010. J. D. Glover, M. S. Sarma, and T. J. Overbye, "Power System Analysis and Design", Cengage Learning, 6th edition, 2016. |
| coursePlan | The course deals with exploring the ways and means to perform advanced power system analysis in normal operation and under symmetrical and unsymmetrical faults. Models of generators, transformers and transmission lines essential for such analyses are assembled. Additionally, principles for the formulation, solution, and application of optimal power flow are established. Computer-aided analysis of the performance of large-scale power systems is one of the central learning objectives. |
| Purpose CoursePlan | After completing this course the student will be able to: - conduct the analysis of large-scale power systems using advanced methods and algorithms - model generators, transformers, lines and cables in the positive, negative and zero sequence systems as basis for the analysis of symmetrical and unsymmetrical faults - perform analysis of power systems subjected to symmetrical and unsymmetrical faults - define, establish and solve equations for regular (AC) power flow, DC power flow, and optimal power flow - use simulation tools to perform comprehensive short circuit studies, load flow studies, and optimal power flow studies - use instruments and equipment in the laboratory - think independently and critically - supplement their learning through appropriate literature study - reflect upon results from assignments - demonstrate integrity and accountability in their learning. |
| title | Smart Grid |
|---|---|
| grade | Master's Grade |
| Number Units | 3 |
| Assessment Type | • Quizzes and exams • Homework assignments and problem sets • Class participation and discussions • Project reports and presentations |
| Teaching Method | • Lectures and presentations • Class discussions and debates • Case studies and real-world examples • Simulation software and tools • Group projects and presentations |
| reference | • Textbook on Smart Grids • Relevant research articles and publications • Online resources and industry reports • Software tools for smart grid analysis
|
| coursePlan | Week 1: Introduction to Smart Grids
• Evolution of Power Systems and the Need for Smart Grids • Key Drivers and Benefits of Smart Grid Technologies • Smart Grid Architecture and Components • Standards and Regulations for Smart Grid Deployment • Case Studies of Smart Grid Implementation
Week 2: Communication Networks and Technologies
• Communication Infrastructure for Smart Grids • Wireless Communication Technologies (Wi-Fi, Zigbee, LTE) • Power Line Carrier (PLC) Communication • Network Security and Data Privacy in Smart Grids • Communication Protocols and Standards (IEC 61850, DNP3)
Week 3: Advanced Metering Infrastructure (AMI)
• Role of AMI in Smart Grids • Smart Metering Technologies and Functionality • Data Acquisition, Processing, and Management • Meter Data Management Systems (MDMS) • Customer Engagement and Benefits of AMI
Week 4: Distributed Generation and Renewable Energy Integration
• Integration of Renewables (Solar, Wind, Biomass) • Distributed Generation (DG) Technologies and their Impact • Intermittency and Variability of Renewable Sources • Grid-Scale Energy Storage for Renewable Integration • Advanced Control Strategies for DG Management
Week 5: Smart Grid Control and Automation
• Centralized and Decentralized Control Systems • Real-time Control and Optimization Techniques • Phasor Measurement Units (PMUs) and Wide Area Monitoring (WAMS) • Supervisory Control and Data Acquisition (SCADA) Systems • Distributed Control Algorithms for Smart Grids
Week 6: Demand Response and Load Management
• Concepts and Types of Demand Response Programs • Load Shedding and Curtailment Strategies • Advanced Load Management Techniques • Impact of Demand Response on Grid Reliability • Incentive Mechanisms and Market Participation
Week 7: Power Electronics and Smart Grids
• Role of Power Electronics in Modern Power Systems • Voltage Source Converters (VSCs) and FACTS Devices • Applications in Fault Protection and Resilience • Power Flow Control and Grid Stability • Integration of Renewable Energy Sources
Week 8: Energy Storage for Smart Grids
• Types of Energy Storage Technologies • Battery Energy Storage Systems (BESS) • Pumped Hydro Storage and Other Options • Energy Storage Applications in Smart Grids • Cost and Performance Considerations
Week 9: Cyber Security in Smart Grids
• Threats and Vulnerabilities in Cyber Space • Cyberattacks on Smart Grids and their Impact • Cybersecurity Measures and Mitigation Strategies • Network Security and Data Protection • Building Resilience against Cyber Threats
Week 10: Smart Grid Monitoring and Analytics
• Data Analytics for Smart Grid Operations • Predictive Maintenance and Condition Monitoring • Anomaly Detection and Fault Diagnosis • Big Data and Machine Learning in Smart Grids • Data Visualization and Decision Support Systems
Week 11: Smart Grid Economics and Market Design
• Economic Benefits of Smart Grid Technologies • Market Mechanisms for Demand Response and Energy Trading • Pricing Signals and Incentive Programs • Regulatory Frameworks and Policy for Smart Grids • Social and Environmental Impacts of Smart Grids
Week 12: Smart Grid Standards and Interoperability
• Standards for Smart Grid Communication and Interoperability • IEC 61850, DNP3, and Other Relevant Standards • Interoperability Testing and Certification • Data Exchange and Information Sharing • Challenges of Standardization and Integration
Week 13: Microgrids and Community Energy Systems
• Concepts and Typ
es of Microgrids • Integration of Renewables and Energy Storage • Microgrid Control and Management Systems • Islanding Operation and Grid Connection • Applications and Benefits of Microgrids
Week 14: Smart Grids for Electric Vehicles
• Role of EVs in the Future Power System • EV Charging Infrastructure and Management • Vehicle-to-Grid (V2G) Technologies • Impact of EV Charging on Grid Operations • Smart Grid Solutions for EV Integration
Week 15: Student Presentations and Project Work
• Students present their individual or group projects • Design and implementation of smart grid solutions • Analysis and evaluation of different technologies • Discussion and feedback on project proposals
Week 16: Course Review and Conclusion
• Summary of key concepts and takeaways • Q&A session on remaining questions • Course evaluation and feedback • Future learning opportunities and resources |
| Purpose CoursePlan | • Understand the fundamental concepts and technologies of smart grids. • Analyze the challenges and opportunities of integrating smart grid technologies. • Explore various components and functionalities of a smart grid system. • Evaluate the impact of smart grids on grid reliability, efficiency, and sustainability. • Develop practical skills for designing, deploying, and operating smart grids.
|
| title | Power System Resilience |
|---|---|
| grade | PH.D Doctoral Grade |
| Number Units | 3 |
| Course Prerequisites | Power system analysis, power system generation operation and control lectures |
| Assessment Type | • Quizzes and exams |
| Teaching Method | • Lectures and presentations |
| Timing presentation lessons | According to the weekly schedule announced by the faculty. |
| reference | • Textbook on Power System Resilience |
| coursePlan | Week 1: Introduction to Power System Resilience |
| Purpose CoursePlan | |
| title | Power Systems Planning and Management |
|---|---|
| grade | Master's Grade |
| Number Units | 3 |
| Assessment Type | • Quizzes and exams |
| Teaching Method | • Lectures and presentations |
| reference | • Textbook on Power System Planning and Management |
| coursePlan | Week 1: Introduction to Power System Planning and Management |
| Purpose CoursePlan | • Understand the principles and methodologies of power system planning and management. |