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Phd and Industrial Courses

Our PhD courses list overview

PhD and Industrial Courses

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    AC Microgrids

    May 4-5, 2020

    COURSE DESCRIPTION

    A Microgrid can be defined as a part of the grid with elements of prime energy movers, power electronics converters, distributed energy storage systems and local loads, that can operate autonomously but also interacting with main grid. The functionalities expected for these small grids are: black start operation, frequency and voltage stability, active and reactive power flow control, active power filter capabilities, and storage energy management. This way, the energy can be generated and stored near the consumption points, increasing the reliability and reducing the losses produced by the large power lines. In addition, as one of current trends and developments the Internet of Things (IoT) is affecting and will shape the society and the world in all respects. The meet of IoT and energy industry naturally brings the promise of Energy Internet round the corner to introduce significant advantages and opportunities: enhanced automation, controllability, interoperability and energy efficiency, smarter energy management, and so on.

    The course starts giving some examples of Microgrids in the world. The course participants not only will learn modeling, simulation and control of three-phase voltage source inverters operating in grid-connected mode and islanded mode, but also, how these power electronics converters are integrated in AC Microgrids and how to be extended Energy Internet at a systemic level.

    COURSE SCHEDULE

    AC Microgrids Course Schedule

    PREREQUISITES

    Matlab/Simulink knowledge is recommended for the exercises.

    ASSESSMENT

    The participants will be grouped and asked to team work on several case study scenarios and tasks proposed along the course. The assessment in this course will be done through a final multi-choice test in combination with delivery of exercises reports.

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    DC Microgrids

    May 6-7, 2020

    COURSE DESCRIPTION

    DC distribution and transmission systems are a clear trend in electrical networks. The focus of this course is on modeling, control and operation of DC Microgrids, starting with stability and control strategies analyzed in detail, DC droop, virtual impedance concepts and hierarchical control structures for DC microgrids are also introduced. Control of DC-DC and AC-DC converters oriented as DC Microgrid interfaces are evaluated.

    Distributed energy storage systems and mature DC output generation systems including distributed energy storage solutions are presented showing their interaction in DC distribution Microgrids. The course also shows examples of DC microgrids in different applications like telecommunication systems, wind power DC collector grid,  residential DC electrical distribution systems and hybrid AC-DC microgrids.

    COURSE SCHEDULE

    DC MICROGRIDS COURSE SCHEDULE

    PREREQUISITES

    Matlab/Simulink knowledge is recommended for the exercises.

    ASSESSMENT

    The participants will be grouped and asked to team work on several case study scenarios and tasks proposed along the course. The assessment in this course will be done through a final multi-choice test in combination with delivery of exercises reports.

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    Power Quality and Synchronization Techniques in Microgrids

    May 13-15, 2020

    COURSE DESCRIPTION

    Microgrids as one of the main building blocks of the smart grids which facilitate implementation of many smart grid functions and services. It is expected that in a near future, smart grids shall emerge as well-planned plug-and-play integration of microgrids which interact through dedicated highways for exchanging commands, data, and power. Providing a high power quality for the customers is one of the main objectives in smart grids.

    On the other hand, the proliferation of different nonlinear and single-phase loads in electrical systems has resulted in voltage harmonic and unbalance as two common power quality problems. In addition, harmonic resonances can be excited giving rise to significant increase of the voltage distortion. These phenomena can cause variety of problems such as protective relays malfunction, overheating of motors and transformers and failure of power factor correction capacitors. 

    In this course, measurement, compensation and damping of the main power quality phenomena will be addressed through several control approaches. Both three-phase and single-phase voltage source inverters will be considered. The modelling and control of these power electronic converters are discussed and hierarchical (centralized and decentralized) control approaches are presented in order to enhance the voltage quality. As the synchronization system of power converters plays a key role in their performance in the presence of power quality problems, modelling, designing, and tuning of advanced synchronization systems, including phase-locked loops (PLLs), frequency-locked loops (FLLs), and open-loop synchronization systems, are also discussed. Several simulation exercises will be included in labs which cover about 50% of the course time

    COURSE SCHEDULE

    POWER QUALITY COURSE SCHEDULE

    PREREQUISITES

    MATLAB/Simulink SImPowerSystem knowledge is recommended for the exercises.

    ASESSMENT

    The participants will be grouped and asked to team work on several case study scenarios and tasks proposed along the course. The assessment in this course will be done through active participation in combination with delivery of exercises reports.

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    Models, Methods and Optimization Tools for Energy Systems

    April 22-24, 2020

    COURSE DESCRIPTION

    Energy is a resource that needs to be managed and decisions need to be made on production, storage, distribution and consumption of energy. Determining how much to produce, where and when, and assigning resources to needs in the most efficient way is a problem that has been addressed in several fields. There are available tools that can be used to formulate and solve these kinds of problems. Using them in planning, operation and control of energy systems requires starting with the basics of math programming techniques, addressing some standard optimization problems, and adapting the solutions to new particular situations of interest.
     

    Students attending this course will learn how to recognise and formulate different optimization problems in planning, operation and control of energy systems, and how to solve them using existing software and solvers such as MATLAB, GAMS, and Excel. Different principal algorithms for linear, network, discrete, nonlinear and dynamic optimization are introduced and related methodologies together with underlying mathematical structures are described accordingly. Moreover, specific real applications of these methods and algorithms will be shown, not only focusing on the optimization by itself but also showing the techniques for interconnecting the computational system with the resources utilizing technologies such as the Internet of Things (IoT) and advanced metering infrastructures (AMI).

    The course is intended for those students that, having a general knowledge in mathematics and simulation, have a very limited experience in math optimization and programming, and need to be introduced to these tools for energy systems optimization.

    COURSE SCHEDULE

    EMS COURSE SCHEDULE

    ASSESSMENT

    The participants will be grouped and asked to team work on several case study scenarios and tasks proposed along the course. The assessment in this course will be done through a final multi-choice test in combination with delivery of exercises reports

    PREREQUISITES

    Familiarity with basics of real analysis, linear algebra, and probability and statistics. Skills regarding Matlab/Simulink is also needed.

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    Maritime Microgrids

    May 2-3, 2020

    COURSE DESCRIPTION

    Nowadays, an important kind of islanded microgrids can be found in maritime power systems. For example, under normal operating conditions, the ship power system can be considered as a typical isolated microgrid and its characteristics, including variable frequency, are matched to terrestrial islanded microgrids.

    This course provides an overview of the present and future architectures of such microgrids, associated control technologies, optimization methods, power quality issues and state of the art solutions. The significant role of power electronics in realizing maritime microgrids, challenges in meeting high power requirements and regulations in the maritime industry, state-of-the-art power electronic technologies and future trend towards the use of medium voltage power converters in maritime microgrids are also presented in this course.

    COURSE SCHEDULE

    PREREQUISITES

    Matlab/Simulink knowledge is recommended for the exercises.

    ASSESSMENT

    The participants will be grouped and asked to team work on several case study scenarios and tasks proposed along the course. The assessment in this course will be done through a final multi-choice test in combination with delivery of exercises reports

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    Advanced FPGA-Based Controllers for Power Electronics Applications

    April 24-26, 2020

    COURSE DESCRIPTION

    Digital controllers are now extremely powerful. With the current Field Programmable Gate Array (FPGA), designing a controller is no longer limited to the programming of a microprocessor but includes also the programming of the architecture of the processor itself along with its peripherals and its computing accelerators. As a consequence, the control designer should be now a system architect who also needs a deep understanding of the final system to be controlled. Along this line, this course aims to propose a rational use of current FPGA-based reconfigurable platforms for controlling power electronic and drive applications.

    The following topics are covered in the course:

    1st day (optional for students who have already worked with FPGAs): - Introduction, presentation of the current trends in terms of digital control implementation for electrical systems.

    2nd & 3rd days: - Main design rules of an FPGA-based controller: Control algorithm refinement (design of a time continuous controller, internal delay issues, digital re-design, sampling issues, quantization issues). Architecture refinement (algorithm / architecture matching, IP-modules reusability, Hardware-In-the-Loop (HIL) validation, system-on-chip extension, High Level Synthesis (HLS) design approach).

    PREREQUISITES

    Matlab/Simulink knowledge and C/C++basic knowledge is recommended for the exercises

    ASSESSMENT

    The participants will be grouped and asked to team work on several case study scenarios and tasks proposed along the course. The assessment in this course will be done through a final multi-choice test in combination with delivery of exercises reports.

Registration to CROM courses 2020

Maximum number of participants per course:

Microgrid courses: 20
FPGA course: 15

For practical information please contact Corina Busk Gregersen, cgr@et.aau.dk.

Please register here: Course registration.