Mission and Focus Areas of Intelligent Energy Systems and Active Networks

Mission

The mission of the Intelligent Energy Systems and Active Networks research programme is to conduct research with the aim to ensure reliable, stable, secure, smart and active energy networks. This intelligent system integrates high penetration of distributed generation units, energy storages and a high number of flexible electrical consumption units as well as loads from different energy sectors including heat, gas and transportation. The system is based on an intelligent control and coordination strategy that contributes to ancillary services, increased network flexibility and asset management and facilitates improved and novel energy market mechanisms.

Focus Areas

This research programme includes many different subjects related to relevant topics on intelligent energy systems and active networks. Coherent energy systems where the cooperation between electricity, gas, heat and transport sectors applying ICT are the key research areas of the programme. Control, stability and reliability of the transmission and distribution systems with a large amount of renewable and dispersed generation as well as new controllable loads are in focus. The focus is also on providing coordinated control and operation, provision of ancillary services and the possibility to run a self-sustained renewable based energy system.

  • Grid integration of Distributed Generation (including Wind Power, PV-systems and Combined Heat and Power Plants) and Flexible Loads (Heat Pumps, Electric Vehicles, Electric Boilers, Electrolysers, etc.)
  • Smart metering, Demand Response and Demand Side Management
  • Power to Heat (P2H), Power to Gas (P2G), Power to storage and transportation systems (V2G)
  • Energy Storage applications and Energy Management
  • Hierarchical and Distributed Control Architectures including ICT
  • Electric Distribution System Analysis (LV/MV), Optimal Power Flow (deterministic/probabilistic)
  • Stability & Reliability of Power systems, Power compensation devices and systems
  • Fault calculation, Localisation and Relay protection
  • Power Quality and Power conditioning (including inter-harmonics and sub-harmonics)
  • Network planning including long term and short term Forecast methods 

It is essential to have a good knowledge on how the different systems and apparatus in the network grid and different energy sectors acts and interacts. Combination of up-to-date knowledge and application of modern computer simulation tools and digital simulators, system modelling and analysis, computational methods and algorithm development are essential to predict steady state and transient phenomena that occur in electric and energy networks and this is one of the core research areas of this research group.
 

Research Objectives

The following objectives and goals have been defined for the research programme in Intelligent Energy Systems and Active Networks:

  • To contribute to the development of the Intelligent and Active Energy Networks from the actual power systems perspective
  • To contribute to the development of control, coordination and optimal aggregation strategies to realise synergy between electricity, thermal, gas and transportation sectors
  • To contribute to the development of new control strategies and energy management methods for distributed energy resources in order to make the Intelligent Energy Systems and Active Energy Networks concept a reality
  • To contribute to modelling, analysis and control of distribution network grids which have a high penetration of dispersed generation including energy storages and flexible loads (electric, thermal and gas) and compensation systems in order to assure a secure and reliable power supply
  • To consider the possibility to run the distribution network grid in connected and islanded mode and examine the necessary control and protection issues
  • To be able to evaluate the use and benefits of power electronics converter systems in the modern network grid
  • To consider different network planning methods where demand side management, demand response, smart metering and different long–term and short-term forecast methods are taken into consideration for the safe operation of the power system
  • To facilitate smart grid flexibility market design, models and mechanisms
  • To contribute to methodologies and tools for integrated energy system analysis that enables actors (DSOs, TSOs, consumers, aggregators etc.) to develop feasible investment, business potential and operational strategies in energy networks and systems with large penetration of renewables and/or dispersed generation
  • To promote and to strengthen the national and international collaborations with industry, public utilities, research institutes and academia in the field of intelligent energy systems and active networks
  • To achieve world class and international excellence and to become a leading international research institution within at least one of the core research areas
  • To attract high quality candidates for thesis projects and research scholars at all levels of education and research
  • To educate and train the next generation of energy systems’ researchers
  • To facilitate public and private sectors to be intensive in developing key enabling integrated methodologies and tools for society, which promotes more renewable energy production, environmental sustainability, improves energy efficiency and economic savings.

Collaboration Partners

  • Energinet.dk
  • Risø DTU
  • DONG Energy
  • Vattenfall
  • HEF
  • SEAS-NVE
  • Dansk Energi
  • DTU - Technical University of Denmark
  • KVL The Royal Veterinary and Agricultural University
  • CBS Copenhagen Business School
  • ABB
  • kk-electronic
  • Siemens
  • Vestas
  • Siemens Wind Power
  • DHI
  • IEEE
  • Cigre
  • IET
  • Smart Grid ERA-Network
  • European Electricity Grids Initiative (EEGI)
  • Tallinn University of Technology (Estonia)
  • HES-SO/University of Applied Sciences (Sweden)
  • Chalmers University of Technology (Sweden)
  • Lund University of Technology (Sweden)
  • University of Iceland
  • Polytechnic University of Catalonia (Spain)

Vacancies within Intelligent Energy Systems and Active Networks

If any, please find the vacancies here: Vacancies at Aalborg University