SMART ENERGY MANAGEMENT & TECHNOLOGIES FOR SUSTAINABILITY

Ingegneria Elettronica SMART ENERGY MANAGEMENT & TECHNOLOGIES FOR SUSTAINABILITY

0622400053
DIPARTIMENTO DI INGEGNERIA INDUSTRIALE
EQF7
ELECTRONIC ENGINEERING
2022/2023

YEAR OF COURSE 2
YEAR OF DIDACTIC SYSTEM 2018
SPRING SEMESTER
CFUHOURSACTIVITY
660LESSONS
Objectives
THE AIM OF THE COURSE IS TO PROVIDE SKILLS ON TECHNOLOGIES AND METHODS - ALSO INSPIRED BY ARTIFICIAL INTELLIGENCE - FOR THE MANAGEMENT OF ELECTRICAL POWER FLOWS IN ENERGY DISTRICTS AND IN NEW GENERATION ELECTRICITY GRIDS.
FOR THIS PURPOSE, THE STUDENT WILL BE PROVIDED WITH TOOLS FOR THE DESIGN OF ENERGY MONITORING AND CONTROL SYSTEMS AND FOR POWER & ENERGY MANAGEMENT, DEEPENING BOTH THE TECHNOLOGICAL ASPECTS (TELEMATIC TECHNOLOGIES, PROGRAMMABLE LOGIC), AND MODELING, CONNECTED TO THE MULTI- TARGET.
THE AIM OF THE COURSE IS ALSO TO RAISE AWARENESS OF THE MANAGEMENT NEEDS RELATED TO THE MASSIVE INTRODUCTION OF RENEWABLE ENERGY SOURCES IN THE ELECTRICITY GRIDS AND THE SUPPORT THAT ICT IS ABLE TO OFFER FOR THEIR FULL INTEGRATION FOR A SUSTAINABLE ELECTRICITY SYSTEM.
FINALLY, ASPECTS RELATED TO THE MANAGEMENT OF ENERGY DEMAND (DSM - DEMAND SIDE MANAGEMENT) AND DEMAND RESPONSE (DR) AND OF GRID SERVICES FOR POWER BALANCING AND VOLTAGE CONTROL ON NEW GENERATION ELECTRICITY GRIDS ARE EXAMINED.
THE AIM OF THE COURSE IS TO MAKE STUDENTS AWARE OF THE NEEDS OF THE ELECTRICAL INDUSTRIAL WORLD, THANKS TO THE CO-TEACHING CONTRIBUTION OF EXPERTS IN THE SECTOR.
Prerequisites
BASIC KNOWLEDGE OF AUTOMATIC CONTROLS AND POWER ELECTRONIC SYSTEMS ARE REQUIRED.
Contents
INTRODUCTION TO THE COURSE: GENERALITIES ON ELECTRICAL SYSTEMS FOR ENERGY. REVIEW OF SYSTEMS AND EQUIPMENT FOR THE DECENTRALIZED CONTROL OF ELECTRICAL SYSTEMS. RECALLS ON THE NATIONAL ELECTRICITY SYSTEM. THE PLAYERS IN THE ELECTRICITY MARKET. THE ROLE OF AUTOMATION AND IC TECHNOLOGIES IN SYSTEMS FOR THE PRODUCTION, TRANSPORT AND DISTRIBUTION OF ELECTRICITY.
(HOURS OF LESSON / EXERCISE / WORKSHOP 4 / - / -)

ENERGY PRODUCTION, TRANSMISSION AND DISTRIBUTION. NOTES ON ELECTRICITY PRODUCTION SYSTEMS. REVIEW OF THE REPRESENTATION OF ELECTRICAL NETWORKS AND STATIC AND DYNAMIC LOADS. MATHEMATICAL MODEL OF AN INTERCONNECTED SYSTEM. PERMANENT MODEL. APPLICATION EXAMPLES TO CASE STUDIES. AUTOMATION OF ENERGY DISTRIBUTION NETWORKS. OPTIMIZATION OF POWER FLOWS ON ELECTRICAL NETWORKS. INNOVATIVE TECHNIQUES FOR AUTOMATION.
(HOURS OF LESSON / EXERCISE / WORKSHOP 20/2/4)

ARTIFICIAL INTELLIGENCE IN ELECTRICAL SYSTEMS: FUZZY SYSTEMS. SYNTHESIS OF A FUZZY CONTROLLER. INDUSTRIAL APPLICATIONS OF FUZZY LOGIC. FUZZY LOGIC FOR AUTOMATION, CONTROL AND SUPERVISION OF ELECTRICAL SYSTEMS. ADVANCED TUNING AND DEBUGGING OF FUZZY CONTROLLERS FOR AUTOMATION. ADVANCED APPLICATIONS TO INDUSTRIAL PROCESS CONTROL. EXERCISE ACTIVITY RELATED TO THE SYNTHESIS OF A CASE STUDY.
CONTROL SYSTEMS BASED ON NEURONAL NETWORKS. APPLICATIONS OF MLP NETWORKS TO THE CONTROL AND MANAGEMENT OF ELECTRICAL SYSTEMS. NOTES ON HOPFIELD NETWORKS WITH DISCRETE AND CONTINUOUS STATES. SOM NETWORKS. EXAMPLES OF APPLICATION OF NEURAL NETWORKS IN THE MANAGEMENT AND CONTROL OF ELECTRICAL SYSTEMS.
GENETIC ALGORITHMS: GENERAL PRINCIPLES. SYNTHESIS OF CONTROLLER BASED ON AGS. EXAMPLES OF APPLICATION OF AGS IN ELECTRICAL ENERGY SYSTEMS. THE PARTICLE SWARM METHOD FOR OPTIMIZATION PROBLEMS.
(HOURS OF LESSON / EXERCISE / WORKSHOP 16/4/4)
ELECTRONIC TECHNOLOGIES FOR MONITORING AND CONTROL OF DISTRIBUTED INDUSTRIAL PLANTS PROGRAMMABLE TECHNOLOGIES FOR MONITORING AND CONTROL OF DISTRIBUTED SYSTEMS. ARCHITECTURE OF A CONTROL SYSTEM. SYSTEMS EXPIRE. PLC AND MICROCONTROLLERS. METHODS AND PROGRAMMING LANGUAGES FOR PROGRAMMABLE LOGIC AIMED AT MONITORING AND CONTROLLING CIVIL AND INDUSTRIAL PLANTS. COMMUNICATION NETWORKS IN AN INDUSTRIAL ENVIRONMENT.
SMART HOUSE AND SMART BUILDING (HOURS OF LESSONS / EXERCISES / WORKSHOP 4 / - / 4)
TECHNOLOGICAL AND FUNCTIONAL ASPECTS FOR THE OPTIMAL MANAGEMENT OF PLANTS IN THE CIVIL SECTOR.
HINTS OF RELIABILITY AND QUALITY IN AUTOMATION AND ELECTRICAL SYSTEMS (HOURS OF LESSONS / EXERCISES / LABORATORY 4 / - / 2)
DEMAND SIDE MANAGEMENT AND DEMAND RESPONSE. GENERAL INFORMATION ON THE RELIABILITY, AVAILABILITY AND RESILIENCE OF ELECTRICAL NETWORKS AND SYSTEMS.
DESIGN HIGH SECURITY AND HIGH AVAILABILITY SYSTEMS. FUNCTIONAL SAFETY OF ELECTRICAL, ELECTRONIC AND PROGRAMMABLE ELECTRONIC SYSTEMS. IEC 61508 STANDARD AND SIL (SAFETY INTEGRITY LEVEL) SYSTEMS. SAFETY FUNCTION, SAFETY INSTRUMENTAL SYSTEMS (SAFETY RELATED SYSTEM), FUNCTIONAL SAFETY. OUTLINE OF THE STANDARDS FOR PROCESS SAFETY (IEC 61511), MACHINERY (IEC 62061) AND IN THE RAILWAY SECTOR (EN 50126, EN 50128, EN 50129).
Teaching Methods
THE COURSE INCLUDES THEORETICAL LESSONS, PRACTICAL LABORATORY EXERCISES, CLASSROOM EXERCISES AND TECHNICAL VISITS.
IN CLASSROOM EXERCISES, STUDENTS CARRY OUT EXPERIENCES ON THE TOPICS COVERED IN THE THEORETICAL LESSONS.
IN LABORATORY EXERCISES, STUDENTS ARE ASSIGNED, DIVIDED INTO WORK GROUPS, PRACTICAL EXERCISES TO BE DEVELOPED ON THE COMPUTER USING COMMERCIAL SOFTWARE TOOLS FOR PROGRAMMING AND SIMULATION. THE EXERCISES ARE INSTRUMENTAL, IN ADDITION TO THE ACQUISITION OF THE SKILLS TO DESIGN SYSTEMS FOR THE CONTROL OF ELECTRICAL SYSTEMS AND THE HOSTING OF RES, ALSO TO DEVELOP AND STRENGTHEN THE SKILLS TO WORK IN A TEAM.
THE DEVELOPMENT OF TWO PROJECTS PER GROUP IS ENVISAGED: ONE TO BE PRESENTED IN THE CLASSROOM DURING THE COURSE AND ONE TO BE PRESENTED IN THE FORM OF A TECHNICAL REPORT TO BE DISCUSSED DURING THE EXAMINATION.
Verification of learning
THE EXAM IS AIMED AT ASSESSING, AS A WHOLE: THE KNOWLEDGE AND UNDERSTANDING OF THE CONCEPTS PRESENTED IN THE COURSE; THE ABILITY TO APPLY THE ACQUIRED KNOWLEDGE TO SOLVE PROBLEMS OF ANALYSIS AND SYNTHESIS OF SYSTEMS FOR THE CONTROL OF ENERGY AND PLANTS; AUTONOMY OF JUDGMENT, COMMUNICATION SKILLS AND THE ABILITY TO LEARN.
THE ASSESSMENT OF THE ACHIEVEMENT OF THE SET OBJECTIVES WILL TAKE PLACE THROUGH AN ORAL INTERVIEW DURING WHICH THE PROJECT DRAFT PREPARED IN THE FINAL PART OF THE COURSE WILL ALSO BE DISCUSSED AND EVALUATED.
THE ORAL INTERVIEW WILL FOCUS ON ALL THE TOPICS OF THE COURSE AND THE ASSESSMENT WILL TAKE INTO ACCOUNT THE KNOWLEDGE DEMONSTRATED BY THE STUDENT AND THE DEGREE OF THEIR IN-DEPTH STUDY, THE ABILITY TO LEARN DEMONSTRATED, THE QUALITY OF THE EXPOSURE.
IN THE FINAL EVALUATION, EXPRESSED OUT OF THIRTY, THE EVALUATION OF THE PROJECT WILL WEIGH FOR 35%, WHILE THE ORAL INTERVIEW FOR 65%. HONORS MAY BE GIVEN TO STUDENTS WHO DEMONSTRATE THAT THEY ARE ABLE TO APPLY THE KNOWLEDGE ACQUIRED INDEPENDENTLY EVEN IN CONTEXTS THAT ARE DIFFERENT, BUT OBVIOUSLY SIMILAR, TO THOSE PROPOSED IN THE COURSE.
Texts
SLIDES OF LECTURES.
SILVIO CAMMARATA, SISTEMI IN LOGICA FUZZY, ETAS.
SILVIO CAMMARATA, RETI NEURALI, ETAS.
D.E. GOLDBERG, GENETIC ALGORITHMS IN SEARCH: OPTIMIZATION AND MACHINE LEARNING, HARDCOVER.
SACCOMANNO, ELECTRIC POWER SYSTEM: ANALYSIS AND CONTROL, IEEE PRESS.
RARDIN, OPTIMIZATION IN OPERATION RESEARCH, PRENTICE HALL.
J. ARRILLAGA, C.P. ARNOLD, COMPUTER ANALYSIS IN POWER SYSTEMS, WILEY.
S.J. RUSSEL, P. NORVIG, INTELLIGENZA ARTIFICIALE: UN APPROCCIO MODERNO, PRENTICE HALL INTERNATIONAL - UTET.
W. MIELCZARSKI, FUZZY LOGIC TECHNIQUES IN POWER SYSTEMS, PHYSICA VERLAG.
CATALIOTTI, IMPIANTI ELETTRICI, PETRONIO.
More Information
TEACHING IS DELIVERED IN PERSON. THE TEACHING LANGUAGE IS ITALIAN; HOWEVER, PART OF THE COURSE MAY BE TAUGHT IN ENGLISH IF ERASMUS STUDENTS ARE PRESENT IN THE CLASSROOM.
THE SLIDES ARE IN ENGLISH.
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