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Scheda Riassuntiva
Anno Accademico 2020/2021
Scuola Scuola di Ingegneria Industriale e dell'Informazione
Insegnamento 055511 - MODELLING AND CONTROL OF ENERGY SYSTEMS (C.I.)
  • 055509 - AUTOMATION OF ENERGY SYSTEMS
Docente Leva Alberto
Cfu 5.00 Tipo insegnamento Modulo Di Corso Strutturato

Corso di Studi Codice Piano di Studio preventivamente approvato Da (compreso) A (escluso) Insegnamento
Ing Ind - Inf (Mag.)(ord. 270) - MI (473) AUTOMATION AND CONTROL ENGINEERING - INGEGNERIA DELL'AUTOMAZIONE*AZZZZ055511 - MODELLING AND CONTROL OF ENERGY SYSTEMS (C.I.)
090916 - AUTOMATION OF ENERGY SYSTEMS
Ing Ind - Inf (Mag.)(ord. 270) - MI (481) COMPUTER SCIENCE AND ENGINEERING - INGEGNERIA INFORMATICA*AZZZZ099452 - AUTOMATION OF ENERGY SYSTEMS FOR ENG4SD
090916 - AUTOMATION OF ENERGY SYSTEMS

Obiettivi dell'insegnamento

Foreword. Systems for the production, distribution and use of energy are becoming more and more complex and articulated. As a result, their level of automation is increasing. This involves virtually any component of such systems, from production plants to transmission, distribution and district networks, down to single units. Also, modern energy systems need to integrate with one another to improve efficiency. And finally, aspects such as comfort, economy and environmental impact, are steadily gaining importance.

Objectives. The aim of the course is to address the scenario above by providing the student a system-level view - which is typical of the automation engineer - on the matter, the control problems encountered, the solutions adopted to date, and their possible future developments. The course does not delve into details on the various types of generators, utilisers and so forth, as the said details that can be learnt in specialised courses; for example, power generation processes are addressed in Advanced Process Control.


Risultati di apprendimento attesi

The student understands the basic principles behind the operation, the control and the management of energy systems, with particular reference - as paradigmatic examples - to electric and heat networks.

Also, he/she masters the main control structures, including optimisation-related ones where applicable, devoted to the control of such systems.

As a result, the student is able to address control-oriented system modelling, control synthesis and assessment cases, at a complexity level compatible with the course extent and scope.


Argomenti trattati

Introduction. This part quickly provides a high-level view of the matter. It also introduces the basic concepts related to energy systems, generalities, and the corresponding terminology.

Control structures for energy systems. The main control structures used in energy systems are discussed. These include feedforward compensation, cascade control, decoupling, Smith predictor, Internal Model Control, override, and ratio control. The typical uses of such structures in energy systems is discussed. Care is taken to orient their choice and composition based on the characteristics of the encountered dynamic systems rather than (only) on the physical nature of the controlled variables. Most relevant, the logic associated with the addressed structures (interlocks, auto/manual management and the like) is explained.

Actuation schemes for energy systems. The main such schemes (daisy chain, split range, time division output) are treated, with the same approach just outlined for control structures. 

Control-oriented modelling principles. The mathematical and modelling principles used in the course are introduced. As the focus is on system-level automation, this part aims at synthetically capturing the relevant dynamics with minimal complexity. To allow for physically interpretable parameters, first-principle modelling is privileged.

Electric systems. After presenting the above general ideas, these are monographically applied to the electric case, by discussing the management of an AC grid. The treatise includes primary and secondary power/frequency control, optimum generation allocation, and the basics of load flow. Care is taken to present the subjects above within an integrated view, and to evidence connections with neighbouring technologies. This means on the one hand relating the presented matter to detailed generator-level control, and on the other hand outlining the variety of forms taken by network-level optimisation when this involves multiple actors, conflicting objectives, bidding, and so forth.

Thermal systems. A second monographic part, with objectives similar to the one above and therefore structured in an analogous manner, is devoted to thermal systems, with specific reference to heat networks.

The concepts and methods learnt are put to work during practice hours with simple exercises, also in a view to preparing for the written test. Case studies of (slightly) higher complexity are addressed using open source control synthesis, analysis and simulation tools, made available to the students and introduced in the laboratory activity.


Prerequisiti

Knowledge of the fundamentals about first-principle electric and thermal modelling. Basic control competence, at least at the level of a single loop synthesisable in the Bode hypotheses. A review on the above will be provided in the course, also to establish a common jargon and notation, but for apparent reasons it will have to be extremely short.


Modalità di valutazione

The students will be required to carry out a project by using the learnt methods and tools. They will have to deliver a brief written report following a template, that will provided and explained in the class together with the project themes. These concern control-oriented modelling and control synthesis for simple electric and heat networks, including the simulation assessment of the synthesised controls.

The project will contribute to approximately 40% of the total score. The rest will come from a written test on the entire content of the course, composed of both numerical exercises and questions. To pass the exam, the written test must score 18/30 or above.


Bibliografia

Forme didattiche
Tipo Forma Didattica Ore di attività svolte in aula
(hh:mm)
Ore di studio autonome
(hh:mm)
Lezione
30:00
45:00
Esercitazione
15:00
22:30
Laboratorio Informatico
5:00
7:30
Laboratorio Sperimentale
0:00
0:00
Laboratorio Di Progetto
0:00
0:00
Totale 50:00 75:00

Informazioni in lingua inglese a supporto dell'internazionalizzazione
Insegnamento erogato in lingua Inglese
Disponibilità di materiale didattico/slides in lingua inglese
Disponibilità di libri di testo/bibliografia in lingua inglese
Possibilità di sostenere l'esame in lingua inglese
Disponibilità di supporto didattico in lingua inglese
schedaincarico v. 1.6.5 / 1.6.5
Area Servizi ICT
20/10/2020