Monday 23 August 2021

MID SEM_SYLLABUS_SMART GRID_3170922_7th SEM_ODD SEM_2021-22

 Semester – VII Subject

Name: Smart grids

Subject Code: 3170922

MID SEMESTER EXAM SYLLABUS

 

Chapter No.

Content

1

Basics of Load and Generation, Grid operation, Concepts of Power Flow Analysis, Economic Dispatch and Unit Commitment. Introduction to Smart Grid, Difference between conventional & smart grid, Architecture of Smart Grid, Smart Grid standards, Policies Applications, Smart Grid control layer and elements, Smart Grid Initiative for Power Distribution Utility in India.

3

Distributed generation resources, Advantages and disadvantages of DG, Distributed Generation Utilization Barriers, Distributed Generation integration to power grid Smart Grid components control elements, Smart Grid Technologies

4

Micro Grids, Concept of micro grid, need & applications of micro grid, formation of micro grid, Modelling of AC Smart Grid components, Modelling of DC Smart Grid components, Modelling of storage devices, issues of interconnection, Operation, protection & control of micro grid. Simulation and case study of AC micro grid Islanding, need and benefits, different methods of islanding detection.

5

Load dispatch centers, Sensor Networks, Phasor Measurement Units, Communications Infrastructure, Fault Detection and Self-Healing Systems, Applications and Challenges, , wide-area monitoring system (WAMS), Phasormeasurement units PMU; Smart sensors/telemetry, advanced metering infrastructure(AMI);smart metering; smart grid system monitoring,

 

Course Outcomes:

 After completing the course, students will be able to;

Sr.

No.

CO  statement

CO-1

Summaries various aspects of the smart grid Technologies, Components,Architectures and Applications

CO-2

Study and compare modern communication infrastructure and justify the feasibility of the same for smart grid applications.

CO-3

Analyze Micro grid and distributed generation as a part of modern hybrid powersystem with advantages and challenges in smart gird operations

CO-4

Use of load modeling techniques, Demand Side Ancillary Services EnergyManagement in Pricing and Energy Consumption Scheduling in smart gridoperations                          


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