Projects per year
Abstract
Model order reduction (MOR) has demonstrated its robustness and wide applicability in simulating large-scale mathematical models in the engineering research domain. In this paper, MOR techniques are applied to quantify relevant reliability metrics of power distribution systems and the impact associated with the integration of different smart grid technologies. To the best of the authors’ knowledge, this is the first application of MOR techniques of balanced truncation to derive reliability models of electricity networks, which exhibit a reduced number of equivalent components and thus simplify the complexity for network analysis. The extensive case studies presented, based on both radial and meshed systems, demonstrate that the proposed technique allows for a faster reliability assessment through Monte Carlo simulation while preserving high accuracy. The proposed methodology can also be applied to systems endowed with photovoltaic and energy storage technologies, emphasising that this approach represents a promising starting point for reliability analysis of more complex systems, which are normally characterised by a large penetration of these distributed energy resources.
| Original language | English |
|---|---|
| Article number | 106623 |
| Number of pages | 12 |
| Journal | International Journal of Electrical Power & Energy Systems |
| Volume | 127 |
| Early online date | 11 Dec 2020 |
| DOIs | |
| Publication status | Published - 21 May 2021 |
Bibliographical note
This research made use of the Balena High Performance Computing (HPC) Service at the University of Bath.Publisher Copyright:
© 2020 Elsevier Ltd
Funding
This research made use of the Balena High Performance Computing (HPC) Service at the University of Bath.
| Funders | Funder number |
|---|---|
| University of Bath |
Keywords
- Balanced truncation
- Distributed energy resources
- Distribution networks
- Model order reduction
- Monte Carlo simulation
- System reliability
Fingerprint
Dive into the research topics of 'Model Order Reduction for Reliability Assessment of Flexible Power Networks'. Together they form a unique fingerprint.Projects
- 3 Finished
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Peer-to-Peer Energy Trading and Sharing - 3M (Multi-times, Multi-scales, Multi-qualities)
Li, F. (PI), Jeon, J. (CoI) & Li, R. (CoI)
Engineering and Physical Sciences Research Council
1/09/16 → 29/02/20
Project: Research council
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High Energy and Power Density (HEAPD) Solutions to Large Energy Deficits
Li, F. (PI), Redfern, M. (CoI) & Walker, I. (CoI)
Engineering and Physical Sciences Research Council
30/06/14 → 29/12/17
Project: Research council
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ECONOMICALLY EFFICIENT NETWORK CHARGING METHODOLOGY FOR A SY STEM WITH SIGNIFICANT INTERMITTENT GENERATION - ARF
Li, F. (PI)
Engineering and Physical Sciences Research Council
1/10/06 → 30/09/11
Project: Research council