Energy management strategies for interconnected microgrids
This project proposes a unified approach to the modeling, control and energy management of interconnected ac and dc microgrids.
- starting from a scalable multiphysics modeling framework
which is explicitly taking into account energy and interconnection structure and allows one to treat ac and dc networks on an equal footing
- we analyse the stability and robustness of interconnected ac and dc microgrids.
Special attention will be paid to home dc networks
- its energy sources
- energy storage devices
- and the way it is interconnected to the ac grid
The obtained models are eminently suited for control and optimization purposes.
Scientific research: collaboration with India for modeling and control of microgrids.
Furthermore, they will be used as the basis for developing dynamic pricing and multi-agent systems methods, in order to regulate the unbalance between supply and demand of each microgrid and the interconnection of microgrids, and to enhance their energy-efficiency, robustness and adaptability.
- In the more general setup of distribution networks, very recently two of the applicants have provided insightful results in the area.
- New distributed controllers achieving demand-supply balancing when subject to disturbances belonging to suitable class of signals were proposed.
- In particular, in these results were proven in the port Hamiltonian framework that is one of the themes of the present proposal.
In the problem was cast in the framework of output regulation and solved relying on the internal-model based principle, while in the latter controllers were shown to achieve optimality with respect to suitable cost functions minimizing e.g. transmission costs.
- An integrated port-Hamiltonian model of ac and dc networks and their energy sources, loads, and energy-storing devices (M1-M12).
- Interconnection of ac and networks. Special attention to network structure. Relations with theme 2 (M9-M16).
- Stability and robustness analysis of interconnected microgrids based on their port-Hamiltonian models. Throughput-analysis and consideration of constraints (M17-30).
- Development of energy and passivity-based controllers of a distributed nature (M31-40).
- Integration with results obtained in especially themes 2 and 3 (M41-48).
Dynamic pricing algorithms
Regarding the research theme 3 (dynamic pricing algorithms) we expect the following milestones to be achieved.
- An integrated port-Hamiltonian model of the physical grid and of dynamic pricing algorithms (M1-M12). This will obviously connect to theme 1.
- Integrated stability analysis of distributed pricing algorithms based on the port-Hamiltonian models. The new control algorithms investigated will be analysed to show the stability of the physical grid and the optimization of suitable cost functions via pricing. (M13-M24)
- Robustness of the proposed algorithms. Robustness of the algorithms with respect to uncertainties (various parametric or modelling uncertainty) will be investigated. Possible redesign of the algorithms to increase robustness will also be considered. (M25-M30)
- Variations of dynamic pricing algorithms that can deal with uncontrollable energy sources via an internal model based approach. (M31-M42)
- Implementation of the algorithms in more realistic scenarios of home dc networks proposed by the Indian members of the team. (M43-M48)
NWO, subsidies for 2 PhD’s
Link to the report
Research will be done by the University of Groningen, Johann Bernoulli Institute for Mathematics and Computer Science
- -Betere en slimmere netten
- -Demand response
- -Betrokken consumenten
- -ICT & Modelling
- -Groene energie technologie
- -Big energy data
- -DC Grid Architectures
- -Stimuleren duurzame mobiliteit
- -Products and services
- -Flexibele prijzen
- -Wet- en regelgeving
- -Buitenland studies
- -Smart Charging