Gregorio Higuera-Gutierrez gregorio.higuera-gutierrez@durham.ac.uk
PGR Student Doctor of Philosophy
Network reconfiguration under a stochastic optimisation framework for Day-Ahead Operation Planning for Future Distribution Networks
Higuera, Gregorio; Kazemtabrizi, Behzad
Authors
Dr Behzad Kazemtabrizi behzad.kazemtabrizi@durham.ac.uk
Associate Professor
Abstract
This paper proposes a novel Active Network Management (ANM) framework for day-ahead operations planning of a medium-voltage active Distribution Network (DN) using a heuristic Network Reconfiguration (NR) algorithm with a Curtailment Minimisation Scheme (CMS) to maximise utilisation of renewable Distributed Generation (DG) resources. The reconfiguration scheme uses Back-to-Back Voltage Source Converters (BTB-VSCs) in the network as Soft Open Points (SOP) which are modelled mathematically using the Flexible Universal Branch Model (FUBM) developed previously in Durham University. Moreover, this day-ahead ANM framework takes into account the variable nature of RES outputs by adopting a stochastic multi-scenario formulation using the Inverse Transform Method and Stratified Sampling to generate power output realisations for the RES. Simulations carried out for a modified IEEE-33 distribution test system shows the proposed ANM framework is capable of reducing operational costs by 2.22% to the system operator whilst actively regulating the voltage throughout the network and reducing curtailment in medium and high power output scenarios.
Citation
Higuera, G., & Kazemtabrizi, B. (2023, June). Network reconfiguration under a stochastic optimisation framework for Day-Ahead Operation Planning for Future Distribution Networks. Presented at 27th International Conference on Electricity Distribution (CIRED 2023), Rome, Italy
Presentation Conference Type | Conference Paper (published) |
---|---|
Conference Name | 27th International Conference on Electricity Distribution (CIRED 2023) |
Start Date | Jun 12, 2023 |
End Date | Jun 15, 2023 |
Acceptance Date | Apr 5, 2023 |
Publication Date | 2023 |
Deposit Date | Apr 25, 2023 |
Publicly Available Date | Dec 31, 2023 |
Pages | 1603-1607 |
ISBN | 9781839538551 |
DOI | https://doi.org/10.1049/icp.2023.0963 |
Public URL | https://durham-repository.worktribe.com/output/1134321 |
Publisher URL | http://www.cired.net/publications-all |
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Copyright Statement
This is a preprint of a chapter accepted by 27th International Conference on Electricity Distribution (CIRED 2023) and is subject to Institution of Engineering and Technology Copyright. When the final version is published, the copy of record will be available at IET Digital Library
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