Master, Full Time
- Campus Wels
- Email sekretariat.ee@fh-wels.at
- Telephone +43 5 0804 43077
- Download info sheet Contact us
Curriculum
Modules
Electrical Energy Engineering
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Advanced Power Electronics |
5 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Advanced Power ElectronicsThe students understand the basic design principles for power electronics circuits and know how to simulate and compute the relevant signals and transients. They know and are able to design special and applied power electronics circuits. Students understand the working principles and the design relevant criteria and are able to realize design principles of DC energy conversion for high power applications, High voltage DC transportation systems, Hybrid switching, E-car, battery and PV power electronics relevant system approaches. Students understand and are able to design, Filter, EMC and EMI concepts, DSP integration, power electronics control algorithms They know the basic power semiconductor technologies and their preferred applications like, silicon, silicon carbide, silicon nitrate Students know the relevant magnetic materials and the methods for optimizing the material effort as well as the characterization of magnet materials They know the basic design rules for power electronic circuits with special respect to EMC, EMI, robustness, and heat balance (cooling approaches) Advanced Power Electronics
Materials and components for power electronic components and modern power electronics technologies. Magnet material and characterization. Control approaches for power electronics. Special power electronics applications - Power electronics for energy applications --> High current energy conversion & High voltage energy conversion · Hybrid switching · E-cars · Battery systems · PV systems Filtering and filters (active/passive) Simple EMC and EMI design principles Designing of power electronics circuits and lay out approaches Advanced Power Electronics
Materials and components for power electronic components and modern power electronics technologies Magnet material and characterization Control approaches for power electronics Special power electronics applications · Power electronics for energy applications o High current energy conversion o High voltage energy conversion · Hybrid switching · E-cars · Battery systems · PV systems Filtering and filters (active/passive) Simple EMC and EMI design principles Designing of power electronics circuits and lay out approaches Please note: Students enrolled in this course must also enroll in 21_PETLE |
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Advanced High Voltage Engineering |
9 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Advanced High Voltage EngineeringStudents learn how to understand the fundamental break down mechanisms in solid and liquid dielectrics They know the concepts of overvoltage protection and insulation coordination Students are aware of and able to apply nondestructive test procedures They know the principles and approaches of state diagnostics and predictive maintenance Advanced High Voltage Engineering
Breakdown in solid and liquid dielectrics, advanced physics Breakdown in liquids, advanced physics Overvoltages, testing procedures and insulation coordination Advanced non-destructive insulation test techniques Testing and diagnosis at HV power equipment and condition evaluation Advanced High Voltage Engineering
Breakdown in solid and liquid dielectrics, advanced physics Breakdown in liquids, advanced physics Overvoltages, testing procedures and insulation coordination Advanced non-destructive insulation test techniques Testing and diagnosis at HV power equipment and condition evaluation Please note: Students enrolled in this course must also enroll in 21_HEI3LE |
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Electromagnetic Field Theory in Multiphysics Systems |
9 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Electromagnetic Field Theory in Multiphysics SystemsStudents understand the full Maxwell’s Equations and are able to solve them with analytical approaches as well as with numerical methods. They know the approaches to interlink the electrodynamics with other physics disciplines and are able to model the problem for simple multi physic problems (simple heat transfer or flow boundary conditions). Students are able to classify the single problems of electromagnetic fields (stationary, quasi stationary, non-stationary, flow field, electric field, magnetic field and coupling effects). Students understand special applications of the Maxwell’s Equations as basic EMC and EMI principles, induction and influencing, displacement current, non-uniform and non-stationary flow fields, antennas. Students can develop electromagnetic numeric models and are able to solve them. They are able to link these problems to other simple physics problems. Students know the principles to improve convergence stability with special respect to nonlinear material parameter and are able to influence to solver to achieve convergence. Students are able to model simple problems and to solve them analytically. Electromagnetic Field Theory in Multiphysics Systems
Full Maxwell Equations (MES) · Types of MES / problems of electromagnetic fields · Application MES for the development of models · Analytic solutions for MES · Numeric solutions for MES · Interpretation and reflection of solutions Combination of MES with simple mechanical, heat flow, and flow formulations Applied MES for engineering problems Electromagnetic Field Theory in Multiphysics Systems
Full Maxwell Equations (MES) · Types of MES / problems of electromagnetic fields · Application MES for the development of models · Analytic solutions for MES · Numeric solutions for MES · Interpretation and reflection of solutions Combination of MES with simple mechanical, heat flow, and flow formulations Applied MES for engineering problems Please note: Students enrolled in this course must also enroll in 21_EFT2LE Electromagnetic Field Theory in Multiphysics Systems
Full Maxwell Equations (MES) · Types of MES / problems of electromagnetic fields · Application MES for the development of models · Analytic solutions for MES · Numeric solutions for MES · Interpretation and reflection of solutions Combination of MES with simple mechanical, heat flow, and flow formulations Applied MES for engineering problems Please note: Students enrolled in this course must also enroll in 21_EFT2LE and 21_EFT2PR |
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Energy Automation and Protection Systems |
6 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Energy Automation and Protection SystemsBasics of communication network technologies and its practical applications Basics of network security Standardized communication protocols for use in power engineering (IEC and IEEE) Network traffic/protocol analysis Basics of power system protection technology - components and topology of a protection arrangement Basic principles in protection technology: Overcurrent protection Distance protection Differential protection Protection concepts/ Possible realization of redundant protection concepts Energy Automation and Protection Systems
Basics of communication network technologies and its practical applications Basics of network security Standardized communication protocols for use in power engineering (IEC and IEEE) Network traffic/protocol analysis Basics of power system protection technology - components and topology of a protection arrangement Basic principles in protection technology: Overcurrent protection Distance protection Differential protection Protection concepts/ Possible realization of redundant protection concepts Energy Automation and Protection Systems
Basics of communication network technologies and its practical applications Basics of network security Standardized communication protocols for use in power engineering (IEC and IEEE) Network traffic/protocol analysis Basics of power system protection technology - components and topology of a protection arrangement Basic principles in protection technology: Overcurrent protection Distance protection Differential protection Protection concepts/ Possible realization of redundant protection concepts |
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EMC and EMI Aspects |
6 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
EMC and EMI AspectsStudents understand the basic principles of coupling effects and are able to calculate the order of effects They know and apply the relevant approaches for EMC and EMI proof designs Students are able to design appropriate EMC systems, filters measurement, electronics and communication circuits EMC and EMI Aspects
Physics of coupling principles (galvanic, induction of electric and magnetic fields) EMC and EMI proof design concepts EMC and EMI shielding Simulation and calculation of EMC and EMI approaches Lightning effects and lightning protection concepts Simulation of lightning protection systems Please note: Students enrolled in this course must also enroll in 21_ECI3LB EMC and EMI Aspects
Physics of coupling principles (galvanic, induction of electric and magnetic fields) EMC and EMI proof design concepts EMC and EMI shielding Simulation and calculation of EMC and EMI approaches Lightning effects and lightning protection concepts Simulation of lightning protection systems Please note: Students enrolled in this course must also enroll in 21_ECI3LE |
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Measurement and Control Engineering
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Advanced Control Engineering |
7 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Advanced Control EngineeringControl approaches for energy systems (P, Q, U, f control, control approaches in smart grid systems, etc.) Control approaches for battery, wind, PV and charging and e-car systems Approaches for robust control algorithms for nonlinear systems and systems with dead times Cascaded control systems Intercommunication between control systems PLC programming and PLC program development Advanced Control Engineering
Control approaches for energy systems (P, Q, U, f control, control approaches in smart grid systems, etc.) Control approaches for battery, wind, PV and charging and e-car systems PLC's Approaches for robust control algorithms for nonlinear systems and systems with dead times Cascaded control systems Intercommunication between control systems PLC programming and PLC program development Advancewd Control Engineering
Control approaches for energy systems (P, Q, U, f control, control approaches in smart grid systems, etc.) Control approaches for battery, wind, PV and charging and e-car systems PLC's Approaches for robust control algorithms for nonlinear systems and systems with dead times Cascaded control systems Intercommunication between control systems PLC programming and PLC program development Please note: Students enrolled in this course must also enroll in 21_CEN2LE |
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Advanced Measurement Engineering and Sensor Systems |
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Advanced Measurement Engineering and Sensor SystemsLearning objectives: - Software-based analysis of discrete-time signals (MATLAB, Python) and application of theoretical concepts from the field of signal- and data analysis. - Introduction to fundamental concepts in Machine Learning. Content: - Understanding of basic properties of measurement signals (time domain, frequency domain) and their mathematical description. - Basic algorithms of digital signal processing: Convolution, Correlation, Fourier- and Wavelet transformation - Supervised / Unsupervised Machine Learning Algorithms - Classification, Regression, Clustering - Examples in MATLAB and Python Computer-based Measure,emt Systems and IoT
Design and developing of automated measurement systems EMC EMI with special respect to electrical energy systems Special measurement problems in electrical energy measurement systems Embedded measurement systems Special sensors and advanced sensor technology Energy harvesting for sensor systems Sensor system communication Signal processing of measurements Developing and writing computer based measurement programs Please note: Students enrolled in this course must also enroll in 21_MES1LE Signal Analysis and Machine Learning
Learning objectives: - Software-based analysis of discrete-time signals (MATLAB, Python) and application of theoretical concepts from the field of signal- and data analysis. - Introduction to fundamental concepts in Machine Learning. Content: - Understanding of basic properties of measurement signals (time domain, frequency domain) and their mathematical description. - Basic algorithms of digital signal processing: Convolution, Correlation, Fourier- and Wavelet transformation - Supervised / Unsupervised Machine Learning Algorithms - Classification, Regression, Clustering - Examples in MATLAB and Python |
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Mathematics
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Numerical Mathematics and Advanced Calculus |
9 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Numerical Mathematics and Advanced CalculusStudents will understand important methods from Higher Calculus, Numerical Mathematics, Probability Theory and Statistics (Contents see below), and can solve practical problems, including the use of software. Advanced Calculus
Advanced Calculus: Vector Analysis: Vector Field, Divergence, Curl, Nabla-Operator, Volume Integrals, Line Integrals, Surface Integrals, Divergence Theorem, Stokes’ Theorem Partial Differential Equations: Separation of Variables Numerical Mathematics
Numerical Mathematics: Introduction in Numerical Mathematics Numerical Solution of Nonlinear Equations Numerical Solution of Linear Systems of Equations (direct and iterative methods) Numerical Differentiation Numerical Integration Numerical Solution of Ordinary Differential Equations |
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Statistics |
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StatisticsProbability (density) function, distribution function, expectation, variance of a random variable Binomial distribution, hypergeometric distribution, Poisson process (Poisson distribution, exponential distribution), Normal distribution, Chi-square distribution, Student's distribution Estimation of parameters (moment estimation, Maximum-Likelihood- Estimation), Confidence intervals Parametric tests (z-test and t-test for one and two populations, distribution test, probability test) Non-parametric tests (chi-squared independence test, Mann-Whitney-Test, etc.) Quality control charts Statistical software: Introduction into a statistical software program and use of the program in the above mentioned units Statistics
Probability (density) function, distribution function, expectation, variance of a random variable Binomial distribution, hypergeometric distribution, Poisson process (Poisson distribution, exponential distribution), Normal distribution, Chi-square distribution, Student's distribution Estimation of parameters (moment estimation, Maximum-Likelihood- Estimation), Confidence intervals Parametric tests (z-test and t-test for one and two populations, distribution test, probability test) Non-parametric tests (chi-squared independence test, Mann-Whitney-Test, etc.) Quality control charts Statistical software: Introduction into a statistical software program and use of the program in the above mentioned units |
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Applied Engineering
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Project |
12 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
ProjectProject
Students answer a scientific question taking into account the Electrical Engineering Masters programme’s subjects. |
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Master‘s Thesis |
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Master‘s ThesisMaster's Exam
Students defend their master’s thesis and answer questionnaires out of two courses linked to their master’s thesis. Master's Thesis
Students answer a scientific question taking into account the Electrical Engineering Masters programme’s subjects. This work should be done in a real-world industrial setting, which will require employment for 600 hours (4 month full-time employment). |
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Master‘s Seminar |
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Master‘s SeminarMaster's Seminar
Students answer a scientific question taking into account the Electrical Engineering Masters programme’s subjects. |
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Organization Management
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Intercultural Leadership and Management |
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Intercultural Leadership and ManagementBasics of Intercultural Management; Intercultural decision-making and responsibility for a successful management in intercultural business situations; Specific characteristics in international and intercultural project management Leadership in an international context; Models, functions and tasks of leadership; Key competences of executives and connection between leadership and personality; The role of the executive; Enhancements of intercultural key competences Intercultural Leadership and Management
Basics of Intercultural Management; Intercultural decision-making and responsibility for a successful management in intercultural business situations; Specific characteristics in international and intercultural project management Leadership in an international context; Models, functions and tasks of leadership; Key competences of executives and connection between leadership and personality; The role of the executive; Enhancements of intercultural key competences |
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Cross-Cultural Negotiations |
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Cross-Cultural NegotiationsTheory and key principles of intercultural communication; Harvard Negotiation concept; Introduction to negotiation and meeting moderation; Cultural specificity in international meetings and projects Practicing negotiation skills and conflict resolution in a intercultural context; Development of intercultural key competences Efficient preparation for successful negotiations; Creation of results which satisfy both parties (win-win situations); Methods and tools of meeting moderation and discussion facilitation; Role, attitude, tasks of the moderator/ discussion leader; Interventions techniques (target-review, interviewing technique, feedback technique, technique of visual discussions); Cross-Cultural Negotiations
Theory and key principles of intercultural communication; Harvard Negotiation concept; Introduction to negotiation and meeting moderation; Cultural specificity in international meetings and projects Practicing negotiation skills and conflict resolution in a intercultural context; Development of intercultural key competences Efficient preparation for successful negotiations; Creation of results which satisfy both parties (win-win situations); Methods and tools of meeting moderation and discussion facilitation; Role, attitude, tasks of the moderator/ discussion leader; Interventions techniques (target-review, interviewing technique, feedback technique, technique of visual discussions); |
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Financing |
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FinancingFinancing
Financial assessment of projects Concept of levelized cost Business plan and energy pricing Energy pricing with respect to examples like • Classical energy utilization • Domestic systems • Island systems • Microgrid systems Overview on marketing and market development Contracting Funding of projects on international degree Financial assessment of international and national projects |
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Energy Markets and Energy Law |
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Energy Markets and Energy LawEnergy Markets and Energy Law
Market Concepts: History of European Electricity and Gas Markets, EU Energy Law, Regulation of Markets, EU Internal Market of Electricity, Market Rules, Guidelines and Network Codes, EU Environmental Law Products, Commodities and Energy Services: Energy Assets Pricing, OTC Trading, Energy Exchange Spot Market, Intraday Market, Balance Energy, Capacity Markets, Renewables Support Schemes, Emissions Trading System, Green Certificates Market Risk: Risk Management for Electricity Trading, Hedging Strategies Systems Security: System Balancing, Reserve Capacities for Frequency Control, Auxiliary Services for TSOs, Network Capacity Allocation, Congestion Management |
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