SATE3170 Smart Grids - Active Networks and Microgrids (5 cr)

Cooperation network course

Network: FITech Energy studies for Master’s students

Available for: Doctoral studies, Master's students and Bachelor's and Master's students

This course is offered through the Network for Fitech Energy 2. These studies are available for master's and doctoral degree students studying in the Faculty of Mathematics and Science and the Faculty of Information Technology.

More about the network

Grading scale:
0-5
Language:
English

Description

Lecture 1 (Introduction): - Course overview and passing requirements - Impact of renewable energy sources (RES) on power systems, active control potential of distributed energy resourcres (DER), microgrids and virtual power plants (VPPs) Lecture 2 (Smart Grid & Microgrid Architectures, ICT solutions, Standards and Technologies): - Control and management architectures - Microgrids in distribution & microgrid operation modes (grid-connected, islanded) and control schemes (centralized, decentralized, hierarchical etc.) & Hybrid AC/DC microgrids - Interoperability and interoperability standards - New technologies and standards - ICT solutions and applicable standards/protocols - Power electronic technologies for active and flexible distribution networks - Operational experience of microgrids Lecture 3 (State-estimation, forecasting, data-analytics, resiliency and cybersecurity in Smart Grids): - Forecasting and state-estimation in Smart Grids - Phasor Measurement Unit (PMU) / synchrophasor measurements in future distribution networks - Data-analytics in Smart Grids - Resiliency, cyber security and privacy issues in Smart Grids Lecture 4 (Control of Low / Variable Inertia Power Systems - Microgrids and Future Distribution Networks with DER): - Control schemes and control modes for inverter interfaced DER (grid-forming, grid-following, grid-supporting), role of synchronization - Stability and power quality considerations -Transition to island operation - Power quality in smart grids and microgrids - Microgrid blackstart - Synchronized re-connection of microgrid Lecture 5 (Grid codes for DER & Islanding detection): - DER grid code requirements - What is islanding? - Different methods for islanding detection - Future-proof islanding detection methods - Islanding detection and grid-forming DER control Lecture 6 (Protection of distribution networks with DER – Grid-connected operation): - Typical protection methods in distribution networks - Protection challenges and requirements due to DER – Grid-connected operation - Potential future protection schemes for distribution networks / microgrids – Grid-connected operation Lecture 7 (Protection of MV and LV microgrids - Islanded operation): - Protection of AC LV Microgrids - Protection of AC MV Microgrids - Protection of DC Microgrids - Protection Systems for DC Shipboard Microgrids Lecture 8 (Planning of future active distribution networks with DER and microgrids): - Potential of / need for DER in active network management (ANM) - Realisation of ANM with DER - Planning of future smart grids based on active utilization of DER and different type of subsystems (microgrids and local energy communities) - Examples – Active voltage control & planning of distribution networks Lecture 9 (Flexibility services provision by household prosumers and energy communities through different markets / HIL & System level simulations): - Flexibility services provision by household prosumers and energy communities through different markets - Microgrid and Energy Storage Modeling for Power System Studies - Digital Twins, HIL & System level simulations

Learning outcomes

By the end of this course student - will be able to understand drivers for smart grids and can identify impacts of large-scale integration of renewable energy resources (RES) on power systems in transmission and distribution level, - has knowledge about distributed energy resources (DER), like generation, energy storages, demand response and electric vehicles, at different voltage levels in smart grids and how flexibility of DER can be controlled actively to support the power system reliable and stable operation locally and system-wide, - has basic knowledge about DER units control and management needs during steady-state and fault situations in active networks and microgrids, - has knowledge about dynamics, control, protection of microgrids during different operation modes (grid-connected and islanded), - is familiar with different grid codes related to DER and smart grids and understands their need as well as effect on active network management and protection during different operation modes, - has knowledge about need for increased cooperation between distribution networks and transmission networks in order to enable needed new active and flexible management and operation schemes, - understands power quality and network planning aspects due to large-scale integration of DER in MV and LV distribution networks, - has basic knowledge about new service operators (aggregators, flexibility operators) and new market and business models of future active network concepts (like microgrids and virtual power plants, VPPs) which are based on active utilization of DER, - understands the increasingly important role of state-estimation, forecasting, data-analytics, resiliency and cybersecurity in smart grids, and - the student can apply different software tools (i.e. PSCAD, Matlab Simulink and Python) for the chosen course topics (i.e. DER control and active network management, microgrid protection and forecasting aggregated demand). Additionally, the course develops: - analytical and critical thinking (knowledge assessment and exercises), - communication: oral, written, presentation skills (written report), and - digital skills (simulation exercises).

Additional information

- Responsible Unit: School of Technology and Innovations - Annual course, will be arranged during autumn period - Also included in the SMACCS (Erasmus Mundus Joint Master Programme in Smart Cities and Communities, https://www.smaccs.eu/)

Description of prerequisites

Previous studies in the field of electrical engineering, especially power systems and/or power electronics, is recommended.