Electrical Power Systems Engineering
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DepartmentFaculty of Electronics
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Program code6211EX049
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Field of studyEngineering
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QualificationMaster of Engineering Sciences
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Duration2
About
ELECTRICAL ENERGY SYSTEMS ENGINEERING
| Degree | Master of Engineering Sciences |
| Length | 2 years (4 semesters) |
| Study language | Lithuanian, English |
| Start | 1st of September |
| Entry Qualification | To this programme applicants are accepted from the fields of: Electronics Engineering, Electrical Engineering, Power Engineering, Mechanical Engineering, Physics. |
With the advent of the Fourth Industrial Revolution, IT systems are becoming increasingly interconnected and integrated. The need to deploy innovative energy systems for smart homes, buildings, manufacturing and urban infrastructure will therefore increase. Specialized experts will be required to create dynamic and innovative solutions taking into consideration such factors as sustainability, energy saving and environmental protection. It is only natural that experts in electrical energy engineering will be in high demand.
Students of the Master's Degree in Electrical Energy Systems Engineering will gain skills and knowledge on using the most advanced power grid design tools and applying finite element forecasting methodologies while developing, maintaining and operating as well as conducting research in the field of electricity generation, transmission and consumption systems.
The Master's Degree Program in Electrical Energy Systems Engineering will provide the up-to-date specialized knowledge in electrical engineering, required for the development and deployment of electrical energy systems. Specialists in this field will be able to conduct applied research in electrical engineering and apply the results obtained in the development of new equipment to practice.
This is a Master study programme of the double diploma implemented together with National Sun YAT-sen University
The Master's study program in Electrical Energy Systems Engineering offers a choice in one of the following two specializations – Renewable Electrical Energy Engineering or Electrical Energy Technologies.
Electrical Energy Technologies. Electricity energy demand is forecasted to enjoy a two-fold increase by 2040. Consequently, there will be an even greater need for specialists capable of developing, designing, installing, applying and operating advanced energy technologies, electric power generation, transmission, conversion to the electric power adapted to the electricity grid frequency and voltage and other types of electric power required by consumers, storage equipment for this type of energy, smart electricity grids as well as specialists having the ability to solve the problems of modern energy in a comprehensive manner.
Renewable Electrical Energy Engineering. In addition, the ever growing need for tackling the challenges of climate change is also pushing forward the restructuring of electric power grids across the world. Renewable energy sources are being used to address the challenges related to climate change and environmental protection. Among them are wind, hydro and solar energy.
Having completed this study program, specialists will have the ability to operate and further develop modern electricity, photovoltaic, wind and hydropower grids. Studies in this specialization are conducted in English.
What competencies will I acquire?
The Master's Degree Program in Electrical Energy Systems Engineering is designed to gain skills and knowledge in the following areas:
- developing, designing, installing, applying and operating advanced photovoltaic, wind energy technologies, devices for converting electric power generated by solar and wind electricity sources into the electric power adapted to the electricity grid frequency and voltage and other types of electric power required by consumers, storage equipment for this energy, smart electrical grids as well as specialists able to solve the problems of modern energy in a comprehensive manner.
What are my possible career pathways?
- Working in the high-tech sector of photovoltaic cell production, in the solar, wind energy sector, etc.
- Working and carrying out research activities in the fields of materials science, processing of new parts and development of technological processes, working in emerging fields of new technologies, applying strong magnetic and electric fields in the fields of biotechnology, medicine, heat and electrical energy.
- Working in the divisions of General Electric, Siemens, ABB and other electricity companies.
Study subjects
1 Semester
obligatory
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ELEIM17102 9 credits
Electrical Power Systems (with Course Project)
Module aim
To acquire the knowledge of the latest achievements in the field of Electrical Energetic Systems and their control.
Module description
Types of Electrical Power Systems. Transient Processes, Their Analysis and Power System Stability. Electrical Generators and Transmission Lines. Dispatch Control. Non-Conventional Energy Sources. Modeling Techniques.
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ELEIM17100 6 credits
Electrical Energy and Market
Module aim
To provide the main energy market patterns, various types of power plants economic, economical electric power load distribution knowledge. Teach to energy generation, transmission, distribution and supply costs, the cost of energy tariffs. Teach create energy balances and economic feasibility perspective of energy systems development.
Module description
This module introduces the fundamentals of the electric power sector and market operation. It covers the characteristics of electricity generation, load profiles and their graphs, principles of electricity generation cost formation, and the role of energy balances. The module examines energy resources and their utilization potential, as well as the structure and functions of the electric power sector. It also analyzes the organization of electricity markets, different market models, and electricity market behavior and price dynamics, providing students with an understanding of the interaction between power systems and market mechanisms.
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ELKRM17103 6 credits
Mathematical Modelling Technologies
Module aim
To learn design and develop mathematical models of electronic circuits and systems using modern modeling technologies, critically analyze modeling results and draw conclusions.
Module description
Mathematical modelling technologies subject delivers knowledge about mathematical modelling, numerical methods, application of linear and nonlinear equations, matrices and differential equations for description and numerical modelling of electronic circuits and systems, numerical integration and differentiation, data processing, analysis and visualization.
Students must complete no less than 80% of the scheduled laboratory works -
ELESM17103 6 credits
Fundamentals of Research and Innovations
Module aim
To deliver knowledge about research, development and innovation systems, to develop scientific work planning, performing and organizing skills and scientific results public presentation abilities.
Module description
Fundamentals of Research and Innovations subject delivers knowledge about research, development and innovation systems, inventions and patents, engineering ethics and decision making in engineering, scientific document preparation and presentation. Recognition and analysis of the new and significant in electronics and informatics engineering field research and development problems are taught. Skills to plan, perform and organize scientific work are exercised. Abilities to prepare and present public presentations and posters, work in a team, communicate with colleagues and be in charge of others work are developed. Students must attend at least 80% of the course laboratory and at least half of the lectures according to the semester schedule.
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ELEIM17101 3 credits
Master's Research Work 1
Module aim
To provide special knowledge in the field of electrical energy system engineering, necessary for application of newest technologies and independent development of new products and services, and train to perform an applied research that gives new results in the field of electrical energy system engineering.
Module description
Analisys of scientific information related to the subject of final work. Preparation of a scientific review.
obligatory
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ELEIM17102 9 credits
Electrical Power Systems (with Course Project)
Module aim
To acquire the knowledge of the latest achievements in the field of Electrical Energetic Systems and their control.
Module description
Types of Electrical Power Systems. Transient Processes, Their Analysis and Power System Stability. Electrical Generators and Transmission Lines. Dispatch Control. Non-Conventional Energy Sources. Modeling Techniques.
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ELEIM17100 6 credits
Electrical Energy and Market
Module aim
To provide the main energy market patterns, various types of power plants economic, economical electric power load distribution knowledge. Teach to energy generation, transmission, distribution and supply costs, the cost of energy tariffs. Teach create energy balances and economic feasibility perspective of energy systems development.
Module description
This module introduces the fundamentals of the electric power sector and market operation. It covers the characteristics of electricity generation, load profiles and their graphs, principles of electricity generation cost formation, and the role of energy balances. The module examines energy resources and their utilization potential, as well as the structure and functions of the electric power sector. It also analyzes the organization of electricity markets, different market models, and electricity market behavior and price dynamics, providing students with an understanding of the interaction between power systems and market mechanisms.
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ELKRM17103 6 credits
Mathematical Modelling Technologies
Module aim
To learn design and develop mathematical models of electronic circuits and systems using modern modeling technologies, critically analyze modeling results and draw conclusions.
Module description
Mathematical modelling technologies subject delivers knowledge about mathematical modelling, numerical methods, application of linear and nonlinear equations, matrices and differential equations for description and numerical modelling of electronic circuits and systems, numerical integration and differentiation, data processing, analysis and visualization.
Students must complete no less than 80% of the scheduled laboratory works -
ELESM17103 6 credits
Fundamentals of Research and Innovations
Module aim
To deliver knowledge about research, development and innovation systems, to develop scientific work planning, performing and organizing skills and scientific results public presentation abilities.
Module description
Fundamentals of Research and Innovations subject delivers knowledge about research, development and innovation systems, inventions and patents, engineering ethics and decision making in engineering, scientific document preparation and presentation. Recognition and analysis of the new and significant in electronics and informatics engineering field research and development problems are taught. Skills to plan, perform and organize scientific work are exercised. Abilities to prepare and present public presentations and posters, work in a team, communicate with colleagues and be in charge of others work are developed. Students must attend at least 80% of the course laboratory and at least half of the lectures according to the semester schedule.
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ELEIM17101 3 credits
Master's Research Work 1
Module aim
To provide special knowledge in the field of electrical energy system engineering, necessary for application of newest technologies and independent development of new products and services, and train to perform an applied research that gives new results in the field of electrical energy system engineering.
Module description
Analisys of scientific information related to the subject of final work. Preparation of a scientific review.
2 Semester
obligatory
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ELEIM17204 9 credits
Electronic Converters (with Course Project)
Module aim
To acquire the knowledge and competence in electronic converters, planning, design and operation.
Module description
Principle of operation of electronic converters, analysis and design energy systems are described.
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ELEIM17201 6 credits
Control of Electrical Energy Systems
Module aim
Provide knowledge about control of electrical systems, elevate the practical skills to select and calculate the components of the electrical systems, optimize the power flow in electrical energetics systems.
Module description
Module covers the theory of the control of the electrical systems, system operation mode planning, respective reglaments and standards, the power flow distribution tasks are overviewed and the skills to practically determine and select the electrical system components, based on the analytical and mathematical modelling are developed.
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ELEIM17203 6 credits
Modern Electrical Engineering
Module aim
To acquire the knowledge and competence in modern electrical engineering, analisys, design and operation of modern electric systems.
Module description
In Modern electrical engineering discipline students gain knowledge in principles of operation of modern electrical engineering equipment and smart electric grids, analysis and design.
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ELEIM17202 3 credits
Master's Research Work 2
Module aim
To analyze scientific materials on a subject of job and to prepare conclusions
Module description
Analytical review of literature. Theoretical investigations in the trend of Thesis Partial or full realization of theoretical part of Thesis. Formuliation of tasks of the Master Thesis. Preparing of primary version of the text of analytical review and theoretical part. correction of task of Master Thesis.
obligatory
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ELEIM17208 9 credits
Power Electronics (with Course Project)
Module aim
Provide knowledge about power electronics technologies in power engineering.
Module description
The module focuses on power electronics technologies, applications and control. The ways of renewable energy control reviewed including the high power electronics limitations and efficiency of high power electronics systems.
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ELEIM17209 6 credits
High - Voltage Devices
Module aim
To provide in-depth knowledge of the discharge process. Study the electrical equipment insulation structure; will examine the surge in the formation of the causes and levels; study the protective measures against the surge works.
Module description
Understand discharge processes occurring in gases, liquids and solid insulating materials. The knowledge of the electrical insulation resistance, device isolation structure and selection methods. Will know the insulation preventive test methods. Learn to assess the lightning surge level and choose safeguards against them.
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ELEIM17201 6 credits
Control of Electrical Energy Systems
Module aim
Provide knowledge about control of electrical systems, elevate the practical skills to select and calculate the components of the electrical systems, optimize the power flow in electrical energetics systems.
Module description
Module covers the theory of the control of the electrical systems, system operation mode planning, respective reglaments and standards, the power flow distribution tasks are overviewed and the skills to practically determine and select the electrical system components, based on the analytical and mathematical modelling are developed.
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ELEIM17202 3 credits
Master's Research Work 2
Module aim
To analyze scientific materials on a subject of job and to prepare conclusions
Module description
Analytical review of literature. Theoretical investigations in the trend of Thesis Partial or full realization of theoretical part of Thesis. Formuliation of tasks of the Master Thesis. Preparing of primary version of the text of analytical review and theoretical part. correction of task of Master Thesis.
one of the following
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ELESM17215 6 credits
Algorithms and Data Structures
Module aim
To grasp fundamentals of one-dimensional and multidimensional data structures, to develop algorithms based on these data structures, and to apply these algorithms in structured and semistructured information search, data base indexing, digital image processing, computer graphics and vision, while being able to reason the chosen technical solutions.
Module description
In this course are presented logical and hierarchical data structures, sorting and search techniques and algorithms for sequence processing and compression. Reviewed applicability analysis of these basic algorithms for the construction of the more sophisticated application-oriented algorithms (structured and semistructured information search, data base indexing, digital image processing, computer graphics and vision).Effect of the nature of applications on algorithm formalization and their sophistication analysis is also presented. Students must complete all scheduled laboratory work. Students must attend at least 80% of the course laboratory and at least half of the lectures according to the semester schedule.
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ELEIM17200 6 credits
Systemotechnique and Sensors
Module aim
To analyze principles of work of gauges and converters, to be able to project circuits of the automated measurement and control.
Module description
Resistive, inductive, capacitor, photoelectric gauges used in power electronics. DAC and ADC. Microprocessors and use of him for processing the information and control.
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ELEIM17256 6 credits
Modern Electric Drives
Module aim
Acquire knowledge about performance and control methods of modern electric drives; learn to use them in practice. Learn to choose drive and its elements according to specification of technological process. Acquire knowledge about vector and direct torque and flux control, sensor-less control, Fuzzy control and principles of development of Fuzzy controllers, learn to develop computer models of electric drives, and ability to work individually and in a team.
Module description
Fundamental Knowledge of Modern Electric Drives, Their Structure and Characteristics, and Drive Control Methods: Vector Control of Induction Drives, Direct Torque and Flux Control. Application of Fuzzy Logic in Electric Drive Control, Principles of Fuzzy Controller Design, Control of DC and Induction Drives Using Fuzzy Controllers. Sensorless Drives. Drives for Modern Tracking and Positioning Systems, as well as Mathematical and Simulation Models of Electric Drives.
one of the following
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ELESM17215 6 credits
Algorithms and Data Structures
Module aim
To grasp fundamentals of one-dimensional and multidimensional data structures, to develop algorithms based on these data structures, and to apply these algorithms in structured and semistructured information search, data base indexing, digital image processing, computer graphics and vision, while being able to reason the chosen technical solutions.
Module description
In this course are presented logical and hierarchical data structures, sorting and search techniques and algorithms for sequence processing and compression. Reviewed applicability analysis of these basic algorithms for the construction of the more sophisticated application-oriented algorithms (structured and semistructured information search, data base indexing, digital image processing, computer graphics and vision).Effect of the nature of applications on algorithm formalization and their sophistication analysis is also presented. Students must complete all scheduled laboratory work. Students must attend at least 80% of the course laboratory and at least half of the lectures according to the semester schedule.
-
ELEIM17200 6 credits
Systemotechnique and Sensors
Module aim
To analyze principles of work of gauges and converters, to be able to project circuits of the automated measurement and control.
Module description
Resistive, inductive, capacitor, photoelectric gauges used in power electronics. DAC and ADC. Microprocessors and use of him for processing the information and control.
-
ELEIM17256 6 credits
Modern Electric Drives
Module aim
Acquire knowledge about performance and control methods of modern electric drives; learn to use them in practice. Learn to choose drive and its elements according to specification of technological process. Acquire knowledge about vector and direct torque and flux control, sensor-less control, Fuzzy control and principles of development of Fuzzy controllers, learn to develop computer models of electric drives, and ability to work individually and in a team.
Module description
Fundamental Knowledge of Modern Electric Drives, Their Structure and Characteristics, and Drive Control Methods: Vector Control of Induction Drives, Direct Torque and Flux Control. Application of Fuzzy Logic in Electric Drive Control, Principles of Fuzzy Controller Design, Control of DC and Induction Drives Using Fuzzy Controllers. Sensorless Drives. Drives for Modern Tracking and Positioning Systems, as well as Mathematical and Simulation Models of Electric Drives.
3 Semester
obligatory
-
ELEIM17301 9 credits
Photovoltaic Energy Systems
Module aim
To acquire the knowledge and competence in photovoltaic energy systems, planning, design and operation.
Module description
Principle of operation of photovoltaic elements, analysis and design of photovoltaic energy systems are described.
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ELEIM17300 9 credits
Wind Energy Systems
Module aim
To acquire the knowledge and competence in wind energy systems, planning, design and operation.
Module description
Principle of operation of wind power stations, analysis and design of wind energy systems are described.
-
ELEIM17303 3 credits
Master's Research Work 3
Module aim
Research according to the project description.
Module description
Improving knowledge in the selected research field. Improving creative and innovation abilities, abilities to make models for analysis and processes in the research field. Improving abilities to make decisions. Preparing of the report.
obligatory
-
ELEIM17308 9 credits
Electrical Energy Storage Devices
Module aim
Provide knowledge about electrical energy storage technologies
Module description
The module focuses on fuel cells technologies, diagnostics and control. The ways of renewable energy storage are reviewed including the applicable high power electronics and automation solutions for power systems.
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ELEIM17309 9 credits
Smart Energy Systems and Relay Protection
Module aim
Providing smart energy systems and relay protection of scientific knowledge, to develop creative skills to analyze and solve smart energy issues.
Module description
Smart energy infrastructure. Power quality and losses. Electricity supply systems. Electrical systems and their management. Atypical mains operation modes. Mains tests and measurements. Relay protection and automation systems. Digital and electromechanical power supply protection.
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ELEIM17303 3 credits
Master's Research Work 3
Module aim
Research according to the project description.
Module description
Improving knowledge in the selected research field. Improving creative and innovation abilities, abilities to make models for analysis and processes in the research field. Improving abilities to make decisions. Preparing of the report.
one of the following
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ELEIM17302 6 credits
Electromagnetic Pulse Power Technologies
Module aim
To get to know high-power devices, areas of their application, to learn to estimate limiting parameters of devices.
Module description
Introduction to electrical breakdown in gases, liquids and solid state materials, optically and electrically induced phase transitions in semiconductors, in superconductors, shock waves action on electrical conductivity of semiconductors, dielectrics, ferroelectrics and ferromagnetics and application of these effects for magnetic flux compression. High power electric and magnetic field values measurements and pulse-power electronics devices.
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ELESM19308 6 credits
Evolutionary Computation and Agent Systems
Module aim
To learn define, project, create, improve and apply various evolutionary computation algorithms and agent systems, know how to explain proposed solutions, analyze examples, while working in a group or individually.
Module description
Evolutionary computation and agent systems module develops knowledge of genetic algorithms, evolutionary strategies, genetic programing, agents, multi-agent systems and other metaheuristics algorithm based system elements and working principles. In the study course, skills for analyzing specific examples, defining and understanding advantages and disadvantages of evolutionary algorithms are developed. Additionally, skills to practically apply evolutionary computation and agent systems using MATLAB software is improved, along with skills to practically solve tasks which require artificial intelligence. Students must complete all scheduled laboratory work. Students must attend at least 80% of the laboratory and at least half of the lectures according to the semester schedule.
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ELEIM17304 6 credits
Hydropower and Biofuel
Module aim
To acquire the knowledge and competence in planning, design and operation of the hydroelectric power plants.
Module description
Hydropower study includes knowledge about the basic types of hydroelectric power plants, construction of hydropower stations, electrical and electronic devices and systems their design and operation.
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ELKRM17308 6 credits
Data Mining Techniques
Module aim
To provide knowledge about data mining methods used to reveal objectively existing patterns into various nature datasets, to develop the ability to select and apply the suitable data mining method for particular task.
Module description
Module content is focused on modern data mining techniques and their application to find previously unknown and potentially useful information analysing big data sets. Module content includes: data preprocessing and exploratory data analysis, classification methods (nearest neighbour’s method, naive Bayes classifier and decision trees), regression analysis, data clustering and evaluation of model performance.
Students must participate in no less than 80% of the scheduled practical works
one of the following
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ELEIM17302 6 credits
Electromagnetic Pulse Power Technologies
Module aim
To get to know high-power devices, areas of their application, to learn to estimate limiting parameters of devices.
Module description
Introduction to electrical breakdown in gases, liquids and solid state materials, optically and electrically induced phase transitions in semiconductors, in superconductors, shock waves action on electrical conductivity of semiconductors, dielectrics, ferroelectrics and ferromagnetics and application of these effects for magnetic flux compression. High power electric and magnetic field values measurements and pulse-power electronics devices.
-
ELESM19308 6 credits
Evolutionary Computation and Agent Systems
Module aim
To learn define, project, create, improve and apply various evolutionary computation algorithms and agent systems, know how to explain proposed solutions, analyze examples, while working in a group or individually.
Module description
Evolutionary computation and agent systems module develops knowledge of genetic algorithms, evolutionary strategies, genetic programing, agents, multi-agent systems and other metaheuristics algorithm based system elements and working principles. In the study course, skills for analyzing specific examples, defining and understanding advantages and disadvantages of evolutionary algorithms are developed. Additionally, skills to practically apply evolutionary computation and agent systems using MATLAB software is improved, along with skills to practically solve tasks which require artificial intelligence. Students must complete all scheduled laboratory work. Students must attend at least 80% of the laboratory and at least half of the lectures according to the semester schedule.
-
ELKRM17308 6 credits
Data Mining Techniques
Module aim
To provide knowledge about data mining methods used to reveal objectively existing patterns into various nature datasets, to develop the ability to select and apply the suitable data mining method for particular task.
Module description
Module content is focused on modern data mining techniques and their application to find previously unknown and potentially useful information analysing big data sets. Module content includes: data preprocessing and exploratory data analysis, classification methods (nearest neighbour’s method, naive Bayes classifier and decision trees), regression analysis, data clustering and evaluation of model performance.
Students must participate in no less than 80% of the scheduled practical works
Free choice
Free choice
4 Semester
obligatory
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ELEIM17400 30 credits
Master Graduation Thesis
Module aim
To finish and present final work with the research elements, proving, that during study and scientific research the competence and abilities meet the requirements of a qualifying degree of the master.
Module description
Completion of theoretical and experimental parts of Master Thesis. Generalization of the rezults received. Analysis and generalization of the results. Preparation of the material of a report for a scientific conference (or a paper for a scientific journal). Preparation and defence of the prepared Master Thesis in order to substantiate that the obtained knowledge, experience and competence correspond to the Electrical Engineering Master level. (The prepared conference report or paper must be presented in an appendix to the Master thesis).
obligatory
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ELEIM17400 30 credits
Master Graduation Thesis
Module aim
To finish and present final work with the research elements, proving, that during study and scientific research the competence and abilities meet the requirements of a qualifying degree of the master.
Module description
Completion of theoretical and experimental parts of Master Thesis. Generalization of the rezults received. Analysis and generalization of the results. Preparation of the material of a report for a scientific conference (or a paper for a scientific journal). Preparation and defence of the prepared Master Thesis in order to substantiate that the obtained knowledge, experience and competence correspond to the Electrical Engineering Master level. (The prepared conference report or paper must be presented in an appendix to the Master thesis).
Statistics
| Metric | Value |
|---|---|
| Enrolled students | 13 |
| Enrolled to FT | 13 |
| Min FT grade | 8.91 |