GLOBAL OBJECTIVE
Explain components & principles of smart grids
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:
- Identify and understand functioning of technical elements that are part of the smart grid in order to contribute in regards to their specific research fields.
- Identify and understand main functioning modes of electric grids (transmission, distribution) and constraints of interconnexions.
Information System dedicated to Energy:
- Explain digital components that contribute to smart grid.
- Explain the nature and the path of data involved in smart grid.
Management and Decisional System:
- Explain mechanism and levers of actions for exploitation optimisation and network efficiency
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
- Principle and experimentation Application Programming Interface
- Information system dedicated to energy
- Cybersecurity and cyberthreat
- Blockchain principle
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
- 44 Lectures (19-20 hours of total work)
- 5 weeks (around 3-4 hours per week)
PROFILE OF PARTICIPANT
- Engineer / researcher with little knowledge in the energy domain, namely the smart grid