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EE9-FPN1-01 Role and Value of Smart Grid Technologies


Lecturer(s): Prof Goran Strbac; Dr Simon Tindemans

Aims:
Over the past few years, the electric power supply systems are undergoing phenomenal transitions. These are mainly driven by low carbon generation technologies, flexible demand, electric transportation, ICT for system control and operation, regulatory and policy changes. This course will introduce advanced technical concepts and guiding principles behind these developments. The course will begin with economic challenges in operating low carbon electricity systems reliably. This is supported by an exposition of reliability metrics, and introduction to reliability modelling and Monte Carlo methods. The course will emphasise the efficiency of asset utilisation to establish the case for smart grid technologies. It will explain the challenges involving flexible generation technologies their role in system operation and control. It will focus on techno-economic concepts of demand side response and storage technologies. It will conclude with new design and security standards for reliable operation of smart grid.

Learning Outcomes:
The students would be able to appreciate the key aspects associated with various components of smart grid technologies. They will understand the engineering challenges that a power engineer will face to integrate these technologies for successful operation. They will also learn how to design and control such systems.

After completing this course, students will be able to:
Describe the role of the smart grid concept in facilitating a cost effective transition to a low carbon energy system
Perform a cost-benefit analysis involving supply risks and operational or investment costs
Model and assess the difference between preventive and corrective control
Discuss challenges in scheduling of flexible demand
Illustrate the role of big data analytics in smart grids
Construct and evaluate basic reliability models
Compute and discuss reliability and risk metrics
Implement Monte Carlo risk computations

Syllabus:
Reliability of power systems, economic challenges of operation of low carbon electricity systems; degradation in asset utilisation and inefficiency of system operation; bulk and distributed storage , demand side response, flexible generation , smart network technologies; preventive and corrective control of electricity network ; contribution of distributed generation to network security ; design of distribution and transmission networks under uncertainty ; option value of smart grid technologies ; reliability and risk metrics for distribution networks ; reliability modelling ; Markov models ; Monte Carlo sampling for risk analysis (supported by computer labs) ; economic value of reliability

Assessment
Exam Duration: 3:00hrs
Coursework contribution: 20%

Term: Autumn

Closed or Open Book (end of year exam): N/A

Coursework Requirement
         N/A

Oral Exam Required (as final assessment): N/A

Prerequisite module(s): None required

Course Homepage: https://bb.imperial.ac.uk/webapps/blackboard/content/listContent.jsp?course
_id=_11559_1&content_id=_1078823_1


Book List:
Please see Module Reading list