Syllabus Introduction Smart Grid

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    EE 260-002-20191 Introduction to Smart Grid Syllabus

    Instructor:

    Dr. Hamed Mohsenian-RadAssistant Professor, Department of Electrical EngineeringOffice: EE 260Email: hamed @ee.ucr.edu

    Course Purpose:

    Introduction to the new multi-disciplinary field of Smart Grid.

    Course Topics:

    Basics of Power Systems:o Load and Generationo Power Flow Analysiso Economic Dispatch and Unit Commitment Problems

    Smart Grid:o Definitiono Applicationso Government and Industryo Standardization

    Smart Grid Communications:o Two-way Digital Communications Paradigmo Network Architectureso IP-based Systemso Power Line Communicationso Advanced Metering Infrastructure

    Demand Responseo Definition, Applications, and State-of-the Arto Pricing and Energy Consumption Schedulingo Controllable Load Models, Dynamics, and Challengeso Electric Vehicles and Vehicle-to-Grid Systemso Demand Side Ancillary Services

    Renewable Generation:o Carbon Footprinto Renewable Resources: Wind and Solaro Microgrid Architectureo Tackling Intermittencyo Stochastic Models and Forecasting

    mailto:[email protected]:[email protected]:[email protected]
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    o Distributed Storage and Reserves

    Wide Area Measurement:o Sensor Networkso Phasor Measurement Unitso Communications Infrastructureo Fault Detection and Self-Healing Systemso Applications and Challenges

    Security and Privacy:o Cyber Security Challenges in Smart Grido Load Altering Attackso False Data Injection Attackso Defense Mechanismso Privacy Challenges

    Economics and Market Operationso Energy and Reserve Marketso Market Powero Generation Firmso Locational Marginal Priceso Financial Transmission Rights

    Prerequisites:

    This course is intended for graduate students but it is also open to senior undergraduate

    students. There is no official pre-requisite at the time of enrolment. However, basic knowledge of

    power systems, basic knowledge of computer and communications networks, and some background

    in probability and random variables, linear algebra, and convex optimization will be helpful.

    Textbook:

    This course does not have any official textbook. The main source of learning for the students

    is the set of handouts provided by the instructor. The students will also need to read several recent

    papers in the field of smart grid, e.g., in the IEEE Transactions on Smart Grid , the IEEE Innovative

    Smart Grid Technologies Conference , and the IEEE Conference on Smart Grid Communications .

    Grading (Percentage):

    Homework 40%Final Exam 40%Final Project Report and Presentation 20%