SOFT COMPUTING IN POWER SYSTEMS

Ingegneria Elettronica SOFT COMPUTING IN POWER SYSTEMS

0622400022
DIPARTIMENTO DI INGEGNERIA INDUSTRIALE
ELECTRONIC ENGINEERING
2014/2015

YEAR OF COURSE 2
YEAR OF DIDACTIC SYSTEM 2012
SECONDO SEMESTRE
CFUHOURSACTIVITY
660LESSONS
Objectives
THE COURSE AIMS TO LEARNING OF ADVANCED MODELS AND METHODS ORIENTED TO INNOVATIVE CONTROL OF POWER SYSTEMS AND POWER DRIVE AND, MORE GENERALLY, OF COMPLEX SYSTEMS, BASED ON ADAPTIVE, FUZZY, NEURAL AND EVOLUTIONARY METHODOLOGIES.
THE COURSE IS ALSO AIMED AT DEVELOPING SKILLS FOR THE SMART ENERGY MANAGEMENT IN CIVIL AND INDUSTRIAL APPLICATIONS AND TO PROVIDE TOOLS FOR THE DESIGN OF ENERGY MONITORING AND CONTROL SYSTEMS AND FOR THE POWER MANAGEMENT BASED ON TELEMATICS TECHNOLOGIES AND PROGRAMMABLE LOGIC.
THE COURSE PRESENTS, FINALLY, SOME USEFUL TOOLS TO THE CALCULATION OF POWER FLOWS ON THE ENERGY DISTRIBUTION NETWORKS AND TO OPTIMIZE POWER FLOWS ON POWER GRIDS IN THE PRESENCE OF GENERATION FROM RENEWABLE SOURCES.

KNOWLEDGE AND UNDERSTANDING: UNDERSTANDING OF TRADITIONAL METHODOLOGIES FOR THE DESIGN OF AUTOMATION SYSTEMS IS RELATED TO INDUSTRIAL PROCESSES AND POWER SYSTEMS. SYNTHESIS OF ADVANCED CONTROL SYSTEMS BASED ON SOFT-COMPUTING TECHNIQUES AND METHODOLOGIES.
UNDERSTANDING OF THE PROBLEMS RELATED TO THE POWER FLOWS MANAGEMENT ON THE DISTRIBUTION NETWORKS AND TO THE EFFECT OF THE OPTIMIZATION TECHNIQUES APPLICATION. KNOWLEDGE OF POWER MANAGEMENT PROBLEMS IN CIVIL AND INDUSTRIAL APPLICATION, AND OF PROBLEMS RELATED TO THE DESIGN AND IMPLEMENTATION OF BUILDING AND HOME AUTOMATION.

APPLIED KNOWLEDGE AND UNDERSTANDING: BEING ABLE TO MANAGE AUTOMATION SYSTEMS IN INDUSTRIAL AND CIVIL APPLICATION. DESIGN OF AUTOMATION SYSTEMS FOR BOTH INDUSTRIAL PROCESSES AND POWER SYSTEMS. USING SOFTWARE TOOLS TO SUPPORT THE DEVELOPMENT OF SCADA AND CONTROL SYSTEMS. CREATING TECHNOLOGICAL SOLUTIONS ABLE TO SUPPORT ADVANCED POWER MANAGEMENT SERVICES FOR INDUSTRIAL AND CIVIL APPLICATIONS. KNOWING TECHNOLOGIES AND PROGRAMMABLE CONTROL SYSTEMS FOR ENERGY MANAGEMENT AND ELECTRIC DRIVE APPLICATIONS. KNOWING TO DESIGN HOME AUTOMATION SYSTEMS BASED ON THE ICT MERGED WITH SOFT-COMPUTING METHODOLOGIES AND ARTIFICIAL INTELLIGENCE.
PERSONAL JUDGMENTS: KNOWING TO IDENTIFY THE DEVICES, METHODS AND SOFTWARE TOOLS FOR THE MANAGEMENT AND IMPLEMENTATION OF AUTOMATION SYSTEMS IN INDUSTRIAL AND CIVIL APPLICATIONS.
KNOWING TO IDENTIFY SOLUTIONS TO OPTIMIZE ENERGY CONSUMPTION IN CIVIL AND INDUSTRIAL USE.
KNOWING TO EVALUATE DIFFERENT ALGORITHMS AND TECHNOLOGIES FOR COMPLEX SYSTEMS.

COMMUNICATION SKILLS: ABILITY TO THE TEAM-WORK AND TO DISCUSS AUTONOMOUSLY ON INDUSTRIAL AUTOMATION FOR INDUSTRIAL AND POWER SYSTEM APPLICATIONS.
TO BE ABLE TO PRESENT, ARGUING, THE CHOICES BASED ON BOTH TRADITIONAL AND INNOVATIVE METHODOLOGIES IN DESIGNING AND IMPLEMENTING SOLUTIONS TO OPTIMIZATION PROBLEMS IN CIVIL AND INDUSTRIAL AREA.

LEARNING SKILLS: TO BE ABLE TO APPLY THE ACQUIRED KNOWLEDGE IN DIFFERENT CONTEXTS FROM THOSE PRESENTED DURING THE COURSE, AND TO READ EFFECTIVELY TECHNICAL MANUALS ON COMPONENTS AND AUTOMATION SYSTEMS, ALSO IN ENGLISH.
Prerequisites
FOR THE SUCCESSFUL ACHIEVEMENT OF OBJECTIVES ARE REQUIRED BASIC KNOWLEDGE OF POWER ELECTRONIC SYSTEMS AND CONTROLS.
Contents
•INTRODUCTION: INTRODUCTION TO POWER SYSTEMS FOR ENERGY. SUMMARY ON MAIN TECHNOLOGIES FOR DECENTRALIZED CONTROL IN POWER SYSTEMS. SUMMARY OF THE NATIONAL POWER SYSTEM. THE PLAYERS IN THE ELECTRICITY MARKET. THE ROLE OF AUTOMATION AND IC TECHNOLOGIES IN POWER AND ENERGY MANAGEMENT. (LECTURE/TUTORIAL/LABORATORY HOURS 2/-/-)
•AUTOMATION OF SYSTEMS FOR THE PRODUCTION TRANSPORT AND DISTRIBUTION OF ELECTRICITY: PRODUCTION, TRANSMISSION AND DISTRIBUTION OF ENERGY. SUMMARY ON THE ELECTRICITY PRODUCTION SYSTEMS. SUMMARY ON THE POWER SYSTEM NETWORKS AND STATIC AND DYNAMIC LOADS MODELS. MATHEMATICAL MODEL OF AN INTERCONNECTED SYSTEM. MODEL IN CONTINUOUS OPERATION. APPLICATION EXAMPLES TO CASE STUDIES. ENERGY DISTRIBUTION NETWORKS AUTOMATION. OPTIMIZATION OF POWER FLOWS ON ELECTRICITY NETWORKS. (LECTURE/TUTORIAL/LABORATORY HOURS 6/4/-)
•INNOVATIVE TECHNIQUES FOR AUTOMATION: FUZZY SYSTEMS. FUZZY CONTROLLER SYNTHESIS. INDUSTRIAL APPLICATIONS OF FUZZY LOGIC. FUZZY LOGIC FOR AUTOMATION CONTROL AND SUPERVISION OF ELECTRICAL SYSTEMS. SYNTHESIS AND IMPLEMENTATION OF FUZZY CONTROLLERS FOR PLC. FUZZY CONTROLLERS ADVANCED TUNING AND DEBUGGING IN INDUSTRIAL PROCESS CONTROL APPLICATIONS. EXCERCISE ACTIVITIES APPLIED TO A CASE STUDY. CONTROL SYSTEMS BASED ON NEURAL NETWORKS. MLP NETWORKS; APPLICATIONS TO THE CONTROL AND MANAGEMENT OF ELECTRICAL SYSTEMS. RBF NETWORKS. HOPFIELD NETWORKS WITH DISCRETE STATES AND CONTINUOUS STATES. SOM NETWORKS. APPLICATION EXAMPLES OF NEURAL NETWORKS IN THE MANAGEMENT AND CONTROL OF ELECTRIC SYSTEMS. GENETIC ALGORITHMS: GENERAL PRINCIPLES. SYNTHESIS OF CONTROLLER BASED ON THE AG. APPLICATION EXAMPLES OF THE AG FOR ENERGY ELECTRIC SYSTEMS. PARTICLE SWARM OPTIMIZATION METHOD (LECTURE/TUTORIAL/LABORATORY HOURS 20/2/4)
•ELECTRONIC TECHNOLOGIES FOR DISTRIBUTED INDUSTRIAL PLANTS MONITORING AND CONTROL: PROGRAMMABLE TECHNOLOGIES FOR DISTRIBUTED SYSTEMS MONITORING AND CONTROL. ARCHITECTURE OF A CONTROL SYSTEM. SCADA SYSTEMS. PLC AND MICROCONTROLLERS. METHODS AND PROGRAMMING LANGUAGES FOR PROGRAMMABLE LOGIC AIMED TO MONITORING AND CONTROL OF CIVIL AND INDUSTRIAL SYSTEMS AND EQUIPMENT. COMMUNICATION NETWORKS IN INDUSTRIAL ENVIRONMENTS. (LECTURE/TUTORIAL/LABORATORY HOURS 4/0/4)
•HOME AND BUILDING AUTOMATION: TECHNICAL AND FUNCTIONAL ASPECTS FOR THE OPTIMAL MANAGEMENT OF THE PLANTS IN THE CIVIL ENVIRONMENTS. (LECTURE/TUTORIAL/LABORATORY HOURS 4/-/4)
•RELIABILITY AND QUALITY IN ELECTRIC AND AUTOMATION SYSTEMS: GENERAL INFORMATION ON RELIABILITY. SUMMARY OF THE CHARACTERIZATION IN TERMS OF RELIABILITY OF AN ELECTRICAL SYSTEM AND AN AUTOMATION SYSTEM: A METHOD FOR THE CALCULATION OF THE COMPLEX SYSTEMS RELIABILITY AND AVAILABILITY. DESIGNING SYSTEMS WITH HIGH SECURITY AND HIGH AVAILABILITY. FUNCTIONAL SAFETY OF ELECTRICAL, ELECTRONIC AND PROGRAMMABLE ELECTRONIC SYSTEMS. THE IEC 61508 STANDARD AND SIL SYSTEMS (SAFETY INTEGRITY LEVEL). SAFETY FUNCTION, SAFETY INSTRUMENT SYSTEMS (SAFETY RELATED SYSTEM), FUNCTIONAL SAFETY. MENTION OF STANDARDS FOR PROCESS (IEC 61511), MACHINES (IEC 62061) AND RAILWAY SAFETY (EN 50126, EN 50128, EN 50129). (LECTURE/TUTORIAL/LABORATORY HOURS 6/-/-)

TOTAL HOURS: 60 (LECTURE HOURS: 42; TUTORIAL IN CLASSROOM HOURS: 6; LABORATORY HOURS: 12)
Teaching Methods
THE COURSE INCLUDES LECTURES, PRACTICAL LABORATORY WORKS, CLASSROOM EXERCISES AND TECHNICAL VISITS. IN CLASSROOM EXERCISES STUDENTS PLAY EXPERIENCES ON THE TOPICS COVERED IN THE LECTURES. IN PRACTICAL LAB WORKS THE STUDENTS, ORGANIZED IN WORKING GROUPS, DEVELOP A PROJECT DEFINED DURING THE COURSE DEVELOPED THROUGH THE USE OF COMPUTER CALCULATIONS AND SOFTWARE FOR PROGRAMMING AND SIMULATION. THE EXERCISES ARE INSTRUMENTAL, AS WELL AS THE ACQUISITION OF THE ABILITY TO DESIGN SYSTEMS FOR THE ELECTRICAL SYSTEMS AUTOMATION, ALSO TO DEVELOP AND STRENGTHEN THE ABILITY TO WORK IN TEAMS.
IT IS EXPECTED IN THE SECOND PART OF THE COURSE THE DEVELOPMENT OF TWO PROJECTS PER GROUP: ONE TO BE PRESENTED IN THE CLASSROOM DURING THE COURSE AND ONE TO BE PRESENTED AS A TECHNICAL REPORT TO DISCUSS IN THE FINAL EXAMINATION.
Verification of learning
THE ASSESSMENT OF THE ACHIEVEMENT OF THE OBJECTIVES WILL BE DONE THROUGH AN ORAL INTERVIEW DURING WHICH WILL ALSO BE EVALUATED THE PROJECT WORK DEVELOPED DURING THE COURSE. THE PRESENTATION OF THE PROJECT IS A NECESSARY CONDITION FOR THE EXAM, BUT NOT ENOUGH TO PASS. IN THE FINAL EVALUATION, EXPRESSED OUT OF THIRTY, THE EVALUATION OF THE PROJECT WILL ACCOUNT FOR 30%, WHILE THE INTERVIEW FOR 70%.
THE ORAL EXAMINATION WILL FOCUS ON ALL THE COURSE TOPICS AND THE EVALUATION WILL TAKE ACCOUNT OF KNOWLEDGE DEMONSTRATED BY THE STUDENT AND THE LEVEL OF THEIR DEPTH, DEMONSTRATED LEARNING SPEAKING ABILITY QUALITY.
THE PRAISE MAY BE GIVEN TO STUDENTS ABLE TO KNOW TO APPLY THE GAINED KNOWLEDGE WITH AUTONOMY EVEN IN CONTEXTS OTHER THAN THOSE PROPOSED IN THE COURSE.
Texts
SLIDES OF LECTURES.
SILVIO CAMMARATA, SISTEMI A 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 THE PRESENCE. THE LANGUAGE IS ITALIAN, HOWEVER, PART OF THE COURSE WILL BE TAUGHT IN ENGLISH, IF IN THE CLASSROOM ERASMUS STUDENTS ARE PRESENT. THE SLIDES OF LECTURES ARE IN ENGLISH.
  BETA VERSION Data source ESSE3 [Ultima Sincronizzazione: 2016-09-30]