Dr Behzad Kazemtabrizi behzad.kazemtabrizi@durham.ac.uk
Associate Professor
This paper presents the optimal power flow (OPF) formulation of a recent power flow STATCOM model. The new model puts forward an alternative, insightful interpretation of the fundamental frequency operation of the PWM-controlled voltage source converter (VSC), in an optimal fashion. The new model makes provisions for the explicit representation of the converter's internal ohmic and switching losses which in the context of an OPF formulation, yields an optimum operating point at which these power losses are at a minimum. The STATCOM model possesses unparalleled control capabilities in the operational parameters of both the AC and DC sides of the converter. Such control modeling flexibility is at its best when expressed in the context of an OPF solution using Newton's method. The STATCOM equations are incorporated into the OPF formulation using Lagrangian functions in quite a natural manner for efficient optimal solutions using a single frame-of-reference. The inequality constraint set of variables is handled equally well using the multipliers method. The prowess of the new model is demonstrated using two sample systems.
Kazemtabrizi, B., & Acha, E. (2014). An Advanced STATCOM Model for Optimal Power Flows Using Newton's Method. IEEE Transactions on Power Systems, 29(2), 514-525. https://doi.org/10.1109/tpwrs.2013.2287914
Journal Article Type | Article |
---|---|
Acceptance Date | Oct 23, 2013 |
Online Publication Date | Nov 5, 2013 |
Publication Date | Mar 1, 2014 |
Deposit Date | Feb 21, 2014 |
Publicly Available Date | Oct 2, 2014 |
Journal | IEEE Transactions on Power Systems |
Print ISSN | 0885-8950 |
Electronic ISSN | 1558-0679 |
Publisher | Institute of Electrical and Electronics Engineers |
Peer Reviewed | Peer Reviewed |
Volume | 29 |
Issue | 2 |
Pages | 514-525 |
DOI | https://doi.org/10.1109/tpwrs.2013.2287914 |
Keywords | FACTS, Newton's method, STATCOM, Optimal power flows, Voltage source converter. |
Public URL | https://durham-repository.worktribe.com/output/1436540 |
Accepted Journal Article
(534 Kb)
PDF
Copyright Statement
© 2014 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Data-driven estimation of the amount of under frequency load shedding in small power systems
(2024)
Journal Article
Minimising the Impact of Contingency in Multiple-Period Short Term Operational Planning with RAS-FUBM For Wind Integration
(2024)
Presentation / Conference Contribution
An Integrated Stacked Sparse Autoencoder and CNN-BLSTM Model for Ultra-Short-Term Wind Power Forecasting with Advanced Feature Learning
(2024)
Presentation / Conference Contribution
Data-Driven Infrastructure Planning for Offshore Wind Farms
(2024)
Presentation / Conference Contribution
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
Apache License Version 2.0 (http://www.apache.org/licenses/)
Apache License Version 2.0 (http://www.apache.org/licenses/)
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search