Smart Grid detail syllabus for Electrical Engineering (EEE), 2017 scheme is taken from VTU official website and presented for VTU students. The course code (17EE831), and for exam duration, Teaching Hr/week, Practical Hr/week, Total Marks, internal marks, theory marks, duration and credits do visit complete sem subjects post given below.
For all other eee 8th sem syllabus for be 2017 scheme vtu you can visit EEE 8th Sem syllabus for BE 2017 Scheme VTU Subjects. For all other Professional Elective -5 subjects do refer to Professional Elective -5. The detail syllabus for smart grid is as follows.
Course Objectives:
- To define smart grid and discuss the progress made by different stakeholders in the design and development of smart grid.
- To explain the measurement techniques using PMUs and smart meters.
- To discuss tools for the analysis of smart grid and design, operation and performance.
- To discuss incorporating performance tools such as voltage and angle stability and state estimation into smart grid.
- To discuss classical optimization techniques and computational methods for smart grid design, planning and operation.
- To discuss the development of predictive grid management and control technology for enhancing the smart grid performance.
- To discuss development of cleaner, more environmentally responsible technologies for the electric system.
- To discuss the fundamental tools and techniques essential to the design of the smart grid.
- To describe methods to promote smart grid awareness and enhancement.
- To discuss methods to make the existing transmission system smarter by investing in newtechnology
Module 1
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Module 2
Stability Analysis Tools for Smart Grid: Introduction to Stability, Strengths and Weaknesses of Existing Voltage Stability Analysis Tools, Voltage Stability Assessment, Voltage Stability Assessment Techniques, Voltage Stability Indexing, Analysis Techniques for Steady-State Voltage Stability Studies, Application and Implementation Plan of Voltage Stability, Optimizing Stability Constraint through Preventive Control of Voltage Stability, Angle Stability Assessment, State Estimation 08
Module 3
Computational Tools for Smart Grid Design: Introduction to Computational Tools, Decision Support Tools, Optimization Techniques, Classical Optimization Method, Heuristic Optimization, Evolutionary Computational Techniques, Adaptive Dynamic Programming Techniques, Pareto Methods, Hybridizing Optimization Techniques and Applications to the Smart Grid, Computational Challenges. Pathway for Designing Smart Grid: Introduction to Smart Grid Pathway Design, Barriers and Solutions to Smart Grid Development, Solution Pathways for Designing Smart Grid Using Advanced Optimization and Control Techniques for Selection Functions, General Level Automation, Bulk Power Systems Automation of the Smart Grid at Transmission Level, Distribution System Automation Requirement of the Power Grid, End User/Appliance Level of the Smart Grid, Applications for Adaptive Control and Optimization
Module 4
For complete syllabus and results, class timetable and more pls download iStudy. Its a light weight, easy to use, no images, no pdfs platform to make students life easier.
Module 5
Research, Education, and Training for the Smart Grid: Introduction, Research Areas for Smart Grid Development, Research Activities in the Smart Grid, Multidisciplinary Research Activities, Smart Grid Education, Training and Professional Development. Case Studies and Test beds for the Smart Grid: Introduction, Demonstration Projects, Advanced Metering, Microgrid with Renewable Energy, Power System Unit Commitment (UC) Problem,ADP for Optimal Network Reconfiguration in Distribution Automation, Case Study of RER Integration,Testbeds and Benchmark Systems, Challenges of Smart Transmission,Benefits of Smart Transmission 08
Course Outcomes:
At the end of the course the student will be able to:
- Discuss the progress made by different stakeholders in the design and development of smart grid.
- Explain measurement techniques using Phasor Measurement Units and smart meters
- Discuss tools for the analysis of smart grid and design, operation and performance
- Discuss classical optimization techniques and computational methods for smart grid design, planning and operation.
- Explain predictive grid management and control technology for enhancing the smart gridperformance
- Develop cleaner, more environmentally responsible technologies for the electric system.
- Discuss the computational techniques, communication, measurement, and monitoring technologytools essential to the design of the smart grid.
- Explain methods to promote smart grid awareness and making the existing transmission system smarter by investing in new technology.
Graduate Attributes (as per NBA):
- Engineering Knowledge,
- Problem Analysis,
- Design/Development of Solutions,
- Conduct investigations of complex problems,
- Modern Tool Usage,
- The Engineer and Society,
- Ethics,
- Individual and Team Work,
- Communication,
- Life-long Learning
Question paper pattern:
- The question paper will have ten questions.
- Each full question is for 16 marks.
- There will be 2full questions (with a maximum of four sub questions in one full question) from each module.
- Each full question with sub questions will cover the contents under a module.
- Students will have to answer 5 full questions, selecting one full question from each module.
Text Books:
- Smart Grid, Fundamentals of Design and Analysis, James Momoh Wiley 1st Edition, 2012
For detail syllabus of all other subjects of BE Eee, 2017 regulation do visit Eee 8th Sem syllabus for 2017 Regulation.
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