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MD1: Structural and Dynamic Modelling of Integrated Energy Systems

This work package addresses the structural modelling, topological optimization and dynamic behaviour of electric power systems, in light of their interaction with other engineered networks, such as communications systems. This analysis, which will build on complex networks approaches (Pagani et al., 2013), can offer new insights into how, for example, cascading failures propagate through energy networks.

The analysis will not just consider how the connectivity topology of an energy system affects its robustness against failure, but will also articulate ways that its topology can be enhanced. For instance, dynamically removing electricity transmission lines from service can actually decrease network congestion and lower generation costs (Hedman et al., 2011). Such schemes are not in common use, however, with their computational complexity being one impediment. Likewise, uncertainty remains on how removing lines may affect the security and robustness of the power system.

Finally, the impact of communication systems and energy systems on the stability of the electrical grid will be studied. Communication systems are characterized by a time scales of the order of milliseconds to hundreds of milliseconds. On the other hand, heating, gas, and water systems have much longer time scales, i.e., minutes or higher. It is thus sensible to study separately the dynamic interaction of the electric grid with the communication system and other energy carriers. Deterministic and stochastic models will be considered, e.g., grey-box modelling approach as proposed in Nielsen et al., 2000 and Kristensen et al. 2004. A sensitivity analysis of uncertainties and unknown data through relevant statistical methods, e.g., Monte Carlo time domain simulations of stochastic differential equations as discussed in Milano et al., 2013, will be carried out. These analyses will allow definition of (i) the level of detail and dynamics that are prudent to consider for the considered time scales; and (ii) the identification of the most relevant interactions and, whenever relevant, corrective actions, e.g., control strategies, to mitigate arising instabilities.

The red arrows in this network diagram indicate where overloading of power lines could occur in the case2382wp power system, due to short-term fluctuations in (notionally) renewable generator outputs

Members


Professor Federico Milano
Funded Investigator, Professor, School of Electrical & Electronic Engineering
Federico.milano@ucd.ie
01 7161844
Dr Paul Cuffe
Funded Investigator, Lecturer/Assistant Professor, School Of Electrical and Electronic Engineering
paul.cuffe@ucd.ie
+353 1 7161732
Taulant Kerci
PhD Researcher
taulant.kerci@ucdconnect.ie
Arash Beiranvand
PhD Researcher
arash.beiranvand@ucdconnect.ie
Weilin Zhong
PhD Researcher
weilin.zhong@ucdconnect.ie
Dr Ioannis Dassios
Senior Researcher
ioannis.dassios@ucd.ie

Research Outputs


Journal

A Topological Sorting Approach to Identify Coherent Cut-sets within Power Grids

2019; IEEE Transactions on Power Systems; Beiranvand, Arash; Cuffe, Paul

DOI | OA

Conference

Replacement of Synchronous Generator by Virtual Synchronous Generator in the Conventional Power System

2019; IEEE PES General Meeting, United States of America; Junru Chen, Muyang Liu, Federico Milano and Terence O’Donnell

Conference

Placement of Virtual Synchronous Generator Controlled Electric Storage combined with Renewable Generation

2019; IEEE PowerTech 2019, Italy; Junru Chen, Muyang Liu, Federico Milano, Terence O'Donnell

DOI | OA

Conference

Sensitivity Analysis of the Interaction between Power System Dynamics and Unit Commitment

2019; IEEE PowerTech 2019, Italy; T. Kërçi, F. Milano

DOI | OA

Conference

A Co-Simulation Framework for Power Systems and Communication Networks

2019; IEEE PowerTech 2019, Italy; W. Zhong, M. Liu, F. Milano

DOI | OA

Conference

A Framework to embed the Unit Commitment Problem into Time Domain Simulations

2019; 19th International Conference on Environmental and Electrical Engineering (EEEIC), Italy; T. Kërçi, F. Milano

OA

Journal

Assessment of Grid-Feeding Converter Voltage Stability

2019; IEEE Transactions on Power Systems; Junru Chen, Federico Milano, Terence O'Donnell

DOI | OA

Journal

Calculating Nodal Voltages Using the Admittance Matrix Spectrum of an Electrical Network

2019; Mathematics; Dassios, Ioannis K.; Keane, Andrew; Cuffe, Paul

DOI | OA

Journal

Blockchain Electricity Trading Under Demurrage

2019; IEEE Transactions on Smart Grid; Cuffe, P. and Devine, M.

DOI | OA

Journal

A mathematical model for elasticity using calculus on discrete manifolds

2018; Mathematical Methods in the Applied Sciences; Dassios, I.K., Keeffe, G.O. and Jivkov, A.

DOI | OA

Journal

Caputo and related fractional derivatives in singular systems

2018; Applied Mathematics and Computation; Dassios, I.K. and Baleanu, D.

DOI | OA

Conference

Smart transformer for the provision of coordinated voltage and frequency support in the grid

2018; IECON 2018-44th Annual Conference of the IEEE Industrial Electronics Society, United States of America; Junru Chen, Rongwu Zhu, Muyang Liu, Giovanni De Carne, Marco Liserre, Federico Milano, Terence O'Donnell

DOI | OA

Journal

A practical formula of solutions for a family of linear non-autonomous fractional nabla difference equations

2018; Journal of Computational and Applied Mathematics; Dassios, I.K.

DOI | OA

Journal

Stability of Bounded Dynamical Networks with Symmetry

2018; Symmetry; Dassios, I.K.

DOI | OA

Conference

Modelling, Simulation and Hardware-in-the-Loop Validation of Virtual Synchronous Generator Control in Low Inertia Power System

2018; 20th IEEE Power Systems Computation Conference (PSCC 2018), Ireland; Chen, J., Liu, M., O'Loughlin, C., Milano, F. and O'Donnell, T.

DOI | OA

Journal

A deterministic approach to locating series flow-controllers within transmission systems to alleviate congestion

2017; Electric Power Systems Research; Cuffe, P. and Keane, A.

DOI | OA

Journal

Validating Two Novel Equivalent Impedance Estimators

2017; IEEE Transactions on Power Systems; Cuffe, P. and Milano, F.

DOI | OA

Journal

Concurrency-Induced Transitions in Epidemic Dynamics on Temporal Networks

2017; Physical Review Letters; Onaga, T., Gleeson, J.P. and Masuda, N.

DOI | OA