A novel approach to solve transient stability constrained optimal power flow problems

Authors

HUY NGUYEN-DUC
LINH TRAN-HOAI
DIEU VO NGOC

DOI

10.3906/elk-1704-209

Abstract

This paper proposes an approach to solve the transient stability constraint optimal power flow (TSC-OPF) problem. The transient stability constraints are expressed as the critical clearing time (CCT) of different contingencies, and are approximated using artificial neural networks (ANNs). The ANNs provide a nonlinear, differentiable mapping between the load flow variables and the CCT. As a result, the TSC-OPF with multiple transient stability constraints can be solved very efficiently with little additional computational burden. The effectiveness of the proposed method is demonstrated with the IEEE 39 bus and the IEEE 300 bus systems.

Keywords

Power system stability, critical clearing time, transient stability constrained optimal power flow, artificial neural networks

First Page

4696

Last Page

4705

Recommended Citation

NGUYEN-DUC, HUY; TRAN-HOAI, LINH; and NGOC, DIEU VO (2017) "A novel approach to solve transient stability constrained optimal power flow problems," Turkish Journal of Electrical Engineering and Computer Sciences: Vol. 25: No. 6, Article 21. https://doi.org/10.3906/elk-1704-209
Available at: https://journals.tubitak.gov.tr/elektrik/vol25/iss6/21