GLOBAL OBJECTIVE
Explain components and principles of smart grid and experiment with some of them
DETAILED OBJECTIVES
Context & Challenges:
- Explain impacts of smart grid at different scale (home, building, city, territory).
- Explain the role of smart grid in energy transitions and the evolutions of actors’ roles in the value chain.
Electric Network & Infrastructure:
- Master functioning of technical elements that are part of the smart grid in order to contribute to the development of new devices.
- Master main functioning modes of electric grids (transmission, distribution) and interconnections constraints in order to intervene on existing system or developing new system particularly applied to renewable.
Information System dedicated to Energy:
- Prepare/design digital components that contribute to collect and control energy devices.
Management and Decisional System:
- Apply methods and tools to exploit energy data in order to optimise energy efficiency of network.
Policy & Economy in Energy
- Explain development plan of smart grid in regards to pricing policy and rentability of investment.
CONTENTS AND SUBJECTS TACKLED
Context & Challenges:
- Relation between electricity and environment
- Role of the actors in the energy sector (TSO, DSO, retailers, regulators)
- Difference between regulated and deregulated actors
- Network balancing mechanism
- Concept and principle of smart grid
- Different scales and perspective of the energy system
Electric Network & Infrastructure:
- Energy life cycle
- Apparent true and reactive power
- Different types of power production (thermal, renewable, combined)
- Different technology of combined power productions
- Power transformation and conversion
- Power storage
Information System dedicated to Energy
- Information system definition
- Communication technologies and computer network
- Automation with SCADA system
- Microcontroller role in automation, features and architecture
- Introduction to Application Programming Interface
- Information system dedicated to energy
- Introduction to cybersecurity and cyberthreat
- Introduction to blockchain
Management and Decisional System:
- Electricity network state estimation and algorithm
- Demand-side management
- AI and forecast to manage energy
- Example of AI implementation
- Decision making process
- Multicriteria decision analysis methods
Policy & Economy in Energy:
- Business model evolution in energy sector
- Cost and benefits analysis
- Energy pricing and markets
- Energy market and risk management
- Environmental issues and energy policies (EU policies, clean energy packages, European green deal, taxes related to energy)
- GDPR for energy information system
- Changing consumer behaviour
- Smart meters to support changes
- Congestion management
TECHNICALITY
- Some formulas and graph plots
NUMBER OF LECTURES AND DURATION
- 47 Lectures (25 hours of work)
- 5 weeks (4-5 hours of work per week)
PROFILE OF PARTICIPANT
- Professional from the energy domain