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Electrical demand management
01DOARV
A.A. 2023/24
Course Language
Inglese
Degree programme(s)
Doctorate Research in Ingegneria Elettrica, Elettronica E Delle Comunicazioni - Torino
Course structure
| Teaching | Hours |
|---|---|
| Lezioni | 18 |
| Esercitazioni in laboratorio | 7 |
Lecturers
| Teacher | Status | SSD | h.Les | h.Ex | h.Lab | h.Tut | Years teaching |
|---|---|---|---|---|---|---|---|
| Chicco Gianfranco | Professore Ordinario | IIND-08/B | 18 | 0 | 7 | 0 | 2 |
Co-lectures
Context
| SSD | CFU | Activities | Area context |
|---|---|---|---|
| *** N/A *** |
PERIOD: SEPTEMBER (intensive course, 1 week)
Recent developments in the electricity sector and the growing interactions between the various fields (energy, data management, economics, environment, and social sciences) require the development of specific techniques and tools for managing the electricity demand, developed in synergy between the experts of different domains for the choice of the method and the interpretation of the results.
The course considers the point of view of experts in the electricity and energy domain and deals with different applications to the residential, industrial and tertiary sectors. Individual and aggregate electricity demand at different levels are addressed.
Various techniques related to the analysis of electrical load patterns are illustrated and applied to demand characterisation (with deterministic and probabilistic representations) users' categorisation and profiling (with clustering techniques), demand management, control and flexibility (demand response and thermostat-controlled loads), and demand forecasting. In addition to the lectures, some calculations will be carried out by using the personal computers of each participant.
All course activities are conducted in English.
The teaching is organized in such a way as to be usable by students who have basic engineering knowledge. The main concepts are recalled at the beginning of the activities. Preliminary knowledge on electrical energy systems is useful but not essential. Long experience with this teaching indicates that students with very different background knowledge have successfully attended the course.
• Introduction to the representation of the electrical demand
• Smart metering principles and applications
• Individual and aggregate electrical demand models for residential users
• Models for non-residential electrical demand
• Electricity customer grouping and electrical demand profiling
• Clustering techniques suitable for electrical demand categorisation
• Demand Side Management and Response principles
• Demand-Side Flexibility concepts and indicators
• Direct Load Control in electrical applications
• Thermostat-controlled loads and Cold Load Pickup
• Electrical demand forecasting principles
On site
Multiple choice test
P.D.2-2 - September
The course lectures are held from Monday morning to Thursday afternoon, and the final test is scheduled on Friday morning. During the final test it is possible to consult all material provided by the lecturers, however, communication with other persons is not allowed.
The course will take place on 23-27 September 2024 (with final exam in the morning of 27 September 2024).
All activities will be carried out in the Lab. "Tommasini" of the Dipartimento Energia "Galileo Ferraris" (DENERG), North side (close to the entrance from corso Montevecchio 71), underground floor.
Monday 23/09/2024, hour 10:00-13:00
Monday 23/09/2024, hour 14:30-18:30
Tuesday 24/09/2024, hour 10:00-13:00
Tuesday 24/09/2024, hour 14:30-18:30
Wednesday 25/09/2024, hour 10:00-13:00
Wednesday 25/09/2024, hour 14:30-18:30
Thursday 26/09/2024, hour 10:00-13:00
Thursday 26/09/2024, hour 14:30-18:30
Friday 27/09/2024, hour 9:00-12:00 (final exam)
The course material will be available online before the lectures.