Vincenzo GALDI | SMART ENERGY MANAGEMENT & TECHNOLOGIES FOR SUSTAINABILITY

cod. 0622400053

SMART ENERGY MANAGEMENT & TECHNOLOGIES FOR SUSTAINABILITY

	0622400053
	DEPARTMENT OF INDUSTRIAL ENGINEERING
	EQF7
	ELECTRONIC ENGINEERING
	2024/2025

CURRICULUM ELECTRONICS FOR "SOUND DESIGN"

	YEAR OF COURSE 2
	YEAR OF DIDACTIC SYSTEM 2018
	SPRING SEMESTER

TEACHING UNITS

	SSD	CFU	HOURS	ACTIVITY	TYPE OF ACTIVITY
	ING-IND/33	6	60	LESSONS	OPTIONAL SUBJECTS

PROFESSORS

	VINCENZO GALDI T Curriculum
	-

	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.

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: GLOBAL CONTEXT OF ENERGY: CONSUMPTION, CAPACITY AND GENERATION. CLIMATE CHANGE: HIGHLIGHTS & TARGETS. ENERGY POLICIES ON GLOBAL, EUROPEAN AND NATIONAL SCALES. GENERAL INFORMATION ON POWER SYSTEMS. RECALLS ON SYSTEMS AND EQUIPMENT FOR THE DECENTRALIZED CONTROL OF ELECTRICAL SYSTEMS. THE NATIONAL POWER SYSTEM. THE PLAYERS OF THE ELECTRICITY MARKET. THE ROLE OF AUTOMATION AND IC TECHNOLOGIES IN SYSTEMS FOR THE PRODUCTION, TRANSPORTATION AND DISTRIBUTION OF ELECTRICITY. (LESSON/EXERCISE/WORKSHOP HOURS 5/-/-) PRODUCTION, TRANSMISSION AND DISTRIBUTION OF ELECTRIC ENERGY. NOTES ON ELECTRICITY PRODUCTION SYSTEMS. ELECTRICITY NETWORKS OF TRANSMISSION AND DISTRIBUTION. MODELING OF ELECTRIC NETWORKS AND OF STATIC AND DYNAMIC LOADS. MODEL IN PERMANENT REGIME. CASE STUDY APPLICATION EXAMPLES. DEMAND SIDE MANAGEMENT AND DEMAND RESPONSE. OUTLINE OF RELIABILITY, AVAILABILITY AND RESILIENCE OF ELECTRIC NETWORKS AND SYSTEMS. OPTIMIZATION OF POWER FLOWS ON ELECTRIC NETWORKS. (LESSON/EXERCISE/WORKSHOP HOURS 12/2/4) 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 REGULATORS FOR AUTOMATION. ADVANCED APPLICATIONS TO INDUSTRIAL PROCESS CONTROL. EXERCISE ACTIVITY RELATED TO THE SUMMARY OF A CASE STUDY. CONTROL SYSTEMS BASED ON NEURONAL NETWORKS. APPLICATIONS OF MLP NETWORKS TO THE CONTROL AND MANAGEMENT OF ELECTRICAL SYSTEMS. OUTLINE ON DISCRETE-STATE AND CONTINUOUS-STATE HOPFIELD NETWORKS. SOM NETWORKS EXAMPLES OF APPLICATION OF NEURAL NETWORKS IN THE MANAGEMENT AND CONTROL OF POWER SYSTEMS. GENETIC ALGORITHMS: GENERAL PRINCIPLES. AG-BASED CONTROLLER SUMMARY EXAMPLES OF APPLICATION OF AG IN POWER SYSTEMS FOR ENERGY. THE PARTICLE SWARM METHOD FOR OPTIMIZATION PROBLEMS. (LESSON/EXERCISE/WORKSHOP HOURS 15/4/4) FROM AUTOMATION TO DIGITALIZATION OF POWER GRID & POWER SYSTEM: IC TECHNOLOGIES FOR MONITORING AND CONTROL OF NETWORKS AND DISTRIBUTED RESOURCES PROGRAMMABLE TECHNOLOGIES FOR MONITORING AND CONTROL OF DISTRIBUTED SYSTEMS. ARCHITECTURE OF A CONTROL SYSTEM. SCADA SYSTEMS. PLC AND MICROCONTROLLERS. PROGRAMMING METHODS AND LANGUAGES FOR PROGRAMMABLE LOGICS AIMED AT THE MONITORING AND CONTROL OF CIVIL AND INDUSTRIAL INSTALLATIONS. COMMUNICATION NETWORKS IN THE INDUSTRIAL ENVIRONMENT. (LESSON/EXERCISE/WORKSHOP HOURS 10/-/4)

Contents

INTRODUCTION TO THE COURSE: GLOBAL CONTEXT OF ENERGY: CONSUMPTION, CAPACITY AND GENERATION. CLIMATE CHANGE: HIGHLIGHTS & TARGETS. ENERGY POLICIES ON GLOBAL, EUROPEAN AND NATIONAL SCALES.
GENERAL INFORMATION ON POWER SYSTEMS. RECALLS ON SYSTEMS AND EQUIPMENT FOR THE DECENTRALIZED CONTROL OF ELECTRICAL SYSTEMS. THE NATIONAL POWER SYSTEM. THE PLAYERS OF THE ELECTRICITY MARKET. THE ROLE OF AUTOMATION AND IC TECHNOLOGIES IN SYSTEMS FOR THE PRODUCTION, TRANSPORTATION AND DISTRIBUTION OF ELECTRICITY.
(LESSON/EXERCISE/WORKSHOP HOURS 5/-/-)

PRODUCTION, TRANSMISSION AND DISTRIBUTION OF ELECTRIC ENERGY. NOTES ON ELECTRICITY PRODUCTION SYSTEMS. ELECTRICITY NETWORKS OF TRANSMISSION AND DISTRIBUTION. MODELING OF ELECTRIC NETWORKS AND OF STATIC AND DYNAMIC LOADS. MODEL IN PERMANENT REGIME. CASE STUDY APPLICATION EXAMPLES. DEMAND SIDE MANAGEMENT AND DEMAND RESPONSE. OUTLINE OF RELIABILITY, AVAILABILITY AND RESILIENCE OF ELECTRIC NETWORKS AND SYSTEMS. OPTIMIZATION OF POWER FLOWS ON ELECTRIC NETWORKS.
(LESSON/EXERCISE/WORKSHOP HOURS 12/2/4)

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 REGULATORS FOR AUTOMATION. ADVANCED APPLICATIONS TO INDUSTRIAL PROCESS CONTROL. EXERCISE ACTIVITY RELATED TO THE SUMMARY OF A CASE STUDY.
CONTROL SYSTEMS BASED ON NEURONAL NETWORKS. APPLICATIONS OF MLP NETWORKS TO THE CONTROL AND MANAGEMENT OF ELECTRICAL SYSTEMS. OUTLINE ON DISCRETE-STATE AND CONTINUOUS-STATE HOPFIELD NETWORKS. SOM NETWORKS EXAMPLES OF APPLICATION OF NEURAL NETWORKS IN THE MANAGEMENT AND CONTROL OF POWER SYSTEMS.
GENETIC ALGORITHMS: GENERAL PRINCIPLES. AG-BASED CONTROLLER SUMMARY EXAMPLES OF APPLICATION OF AG IN POWER SYSTEMS FOR ENERGY. THE PARTICLE SWARM METHOD FOR OPTIMIZATION PROBLEMS.
(LESSON/EXERCISE/WORKSHOP HOURS 15/4/4)

FROM AUTOMATION TO DIGITALIZATION OF POWER GRID & POWER SYSTEM: IC TECHNOLOGIES FOR MONITORING AND CONTROL OF NETWORKS AND DISTRIBUTED RESOURCES PROGRAMMABLE TECHNOLOGIES FOR MONITORING AND CONTROL OF DISTRIBUTED SYSTEMS. ARCHITECTURE OF A CONTROL SYSTEM. SCADA SYSTEMS. PLC AND MICROCONTROLLERS. PROGRAMMING METHODS AND LANGUAGES FOR PROGRAMMABLE LOGICS AIMED AT THE MONITORING AND CONTROL OF CIVIL AND INDUSTRIAL INSTALLATIONS. COMMUNICATION NETWORKS IN THE INDUSTRIAL ENVIRONMENT.
(LESSON/EXERCISE/WORKSHOP HOURS 10/-/4)

	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.

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, AND THE QUALITY OF THE EXPOSURE. IN THE FINAL EVALUATION, EXPRESSED OUT OF THIRTY, THE PROJECT'S EVALUATION WILL WEIGH 35%, WHILE THE ORAL INTERVIEW FOR 65%. SUFFICIENCY WILL BE ACHIEVED IF THE STUDENT DEMONSTRATES KNOWLEDGE OF THE BASIC CONCEPTS, TECHNOLOGIES, AND METHODOLOGIES STUDIED AND CAN APPLY THEM TO CONCRETE CASES. HONORS MAY BE GIVEN TO STUDENTS WHO DEMONSTRATE THAT THEY CAN APPLY THE KNOWLEDGE ACQUIRED INDEPENDENTLY EVEN IN CONTEXTS THAT ARE DIFFERENT, BUT SIMILAR, TO THOSE PROPOSED IN THE COURSE.

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, AND THE QUALITY OF THE EXPOSURE.
IN THE FINAL EVALUATION, EXPRESSED OUT OF THIRTY, THE PROJECT'S EVALUATION WILL WEIGH 35%, WHILE THE ORAL INTERVIEW FOR 65%. SUFFICIENCY WILL BE ACHIEVED IF THE STUDENT DEMONSTRATES KNOWLEDGE OF THE BASIC CONCEPTS, TECHNOLOGIES, AND METHODOLOGIES STUDIED AND CAN APPLY THEM TO CONCRETE CASES. HONORS MAY BE GIVEN TO STUDENTS WHO DEMONSTRATE THAT THEY CAN APPLY THE KNOWLEDGE ACQUIRED INDEPENDENTLY EVEN IN CONTEXTS THAT ARE DIFFERENT, BUT SIMILAR, TO THOSE PROPOSED IN THE COURSE.

	Texts
	SLIDES OF LECTURES, PROVIDED BY THE TEACHER BEFORE THE LESSON VIA SHARED FOLDER ON THE CLOUD. SILVIO CAMMARATA, SISTEMI IN LOGICA FUZZY, ETAS. REFERENCE BOOK (CAP. 1-5) SILVIO CAMMARATA, RETI NEURALI, ETAS. REFERENCE BOOK (CAP. 2, 3, 4, 6, 7) D.E. GOLDBERG, GENETIC ALGORITHMS IN SEARCH: OPTIMIZATION AND MACHINE LEARNING, HARDCOVER. BOOK FOR FURTHER INFORMATION. SACCOMANNO, ELECTRIC POWER SYSTEM: ANALYSIS AND CONTROL, IEEE PRESS. BOOK FOR FURTHER INFORMATION. RARDIN, OPTIMIZATION IN OPERATION RESEARCH, PRENTICE HALL. BOOK FOR FURTHER INFORMATION. J. ARRILLAGA, C.P. ARNOLD, COMPUTER ANALYSIS IN POWER SYSTEMS, WILEY. BOOK FOR FURTHER INFORMATION. S.J. RUSSEL, P. NORVIG, INTELLIGENZA ARTIFICIALE: UN APPROCCIO MODERNO, PRENTICE HALL INTERNATIONAL - UTET. BOOK FOR FURTHER INFORMATION. W. MIELCZARSKI, FUZZY LOGIC TECHNIQUES IN POWER SYSTEMS, PHYSICA VERLAG. BOOK FOR FURTHER INFORMATION. CATALIOTTI, IMPIANTI ELETTRICI, PETRONIO. REFERENCE BOOK (VOL3 CAP 1, 6)

Texts

SLIDES OF LECTURES, PROVIDED BY THE TEACHER BEFORE THE LESSON VIA SHARED FOLDER ON THE CLOUD.
SILVIO CAMMARATA, SISTEMI IN LOGICA FUZZY, ETAS. REFERENCE BOOK (CAP. 1-5)
SILVIO CAMMARATA, RETI NEURALI, ETAS. REFERENCE BOOK (CAP. 2, 3, 4, 6, 7)
D.E. GOLDBERG, GENETIC ALGORITHMS IN SEARCH: OPTIMIZATION AND MACHINE LEARNING, HARDCOVER. BOOK FOR FURTHER INFORMATION.
SACCOMANNO, ELECTRIC POWER SYSTEM: ANALYSIS AND CONTROL, IEEE PRESS. BOOK FOR FURTHER INFORMATION.
RARDIN, OPTIMIZATION IN OPERATION RESEARCH, PRENTICE HALL. BOOK FOR FURTHER INFORMATION.
J. ARRILLAGA, C.P. ARNOLD, COMPUTER ANALYSIS IN POWER SYSTEMS, WILEY. BOOK FOR FURTHER INFORMATION.
S.J. RUSSEL, P. NORVIG, INTELLIGENZA ARTIFICIALE: UN APPROCCIO MODERNO, PRENTICE HALL INTERNATIONAL - UTET. BOOK FOR FURTHER INFORMATION.
W. MIELCZARSKI, FUZZY LOGIC TECHNIQUES IN POWER SYSTEMS, PHYSICA VERLAG. BOOK FOR FURTHER INFORMATION.
CATALIOTTI, IMPIANTI ELETTRICI, PETRONIO. REFERENCE BOOK (VOL3 CAP 1, 6)

	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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Vincenzo GALDI | SMART ENERGY MANAGEMENT & TECHNOLOGIES FOR SUSTAINABILITY