Mr Carlos Jesus Ferrandon Cervantes carlos.j.ferrandon-cervantes@durham.ac.uk
PGR Student Doctor of Philosophy
Inclusion of Frequency Stability Constraints in Unit Commitment Using Separable Programming
Ferrandon-Cervantes, C.J.; Kazemtabrizi, B.; Troffaes, M.C.M.
Authors
Dr Behzad Kazemtabrizi behzad.kazemtabrizi@durham.ac.uk
Associate Professor
Professor Matthias Troffaes matthias.troffaes@durham.ac.uk
Professor
Abstract
In this paper we address the problem of frequency stability in the unit commitment (UC) optimisation process. We include a set of appropriately defined frequency stability constraints in the UC problem formulation for operational planning scenarios in advance of real-time operation. Consequently, we cover the system against the loss of the largest infeed under the 𝑁 − 1 security criterion.The main contribution of our work consists of using the method of separable programming to incorporate a linearised Frequency Nadir constraint into the UC problem. In our work, the UC problem is formulated as a mixed-integer linear program (MILP). This renders a fast convergence in the solution for a system such as the the three area IEEE RTS-96 system. Meanwhile, we have included the possibility of synthetic inertia provision from the wind farms, which helps to increase the available inertia in the system before a generation outage. The simulations are run using an extended version of MATPOWER tailored for solving UC problems (MOST) which is run in MATLAB.
Citation
Ferrandon-Cervantes, C., Kazemtabrizi, B., & Troffaes, M. (2022). Inclusion of Frequency Stability Constraints in Unit Commitment Using Separable Programming. Electric Power Systems Research, 203, Article 107669. https://doi.org/10.1016/j.epsr.2021.107669
Journal Article Type | Article |
---|---|
Acceptance Date | Nov 5, 2021 |
Online Publication Date | Nov 17, 2021 |
Publication Date | 2022-02 |
Deposit Date | Nov 8, 2021 |
Publicly Available Date | Nov 17, 2022 |
Journal | Electric Power Systems Research |
Print ISSN | 0378-7796 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 203 |
Article Number | 107669 |
DOI | https://doi.org/10.1016/j.epsr.2021.107669 |
Files
Accepted Journal Article
(681 Kb)
PDF
Publisher Licence URL
http://creativecommons.org/licenses/by-nc-nd/4.0/
Copyright Statement
© 2021 This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
You might also like
Contingency Ranking in Power Systems via Reliability Rates
(2018)
Conference Proceeding
Comparison of ARIMA, FARIMA, and LSTM methods for day-ahead forecasting for scenario generation for wind power systems
(2023)
Presentation / Conference
Calculating the Maximum Penetration of Electric Vehicles in Distribution Networks with Renewable Energy and V2G
(2023)
Conference Proceeding
Multivariate CNN-LSTM model for wind power forecast and input variables correlation analysis based on SHAPLEY values
(2023)
Conference Proceeding