Title: Operation state classification of power system using fuzzy logic techniques

Authors: Asma Meddeb; Hajer Jmii; Souad Chebbi

Addresses: LATICE laboratory of National High School of Engineers of Tunis, University of Tunisia, Tunisia ' LATICE laboratory of National High School of Engineers of Tunis, University of Tunisia, Tunisia ' LATICE laboratory of National High School of Engineers of Tunis, University of Tunisia, Tunisia

Abstract: The occurrence of contingencies in the power system may cause deviation from its ideal operating condition, which initiates the security assessment for efficient operation of the power system. This paper has two objectives. First, to identify and classify the power system states that provides a consistent security analysis. Second, to evaluate each curative action based on the degree of the violation of security constraint for an effective and secure power system. Therefore, a new methodology for operation state classification using the fuzzy logic technique is proposed to achieve these objectives. Moreover, two fuzzy logic controllers are developed. The first one (FLC 1) classifies the operating states of the power system in one of four categories: normal (N), alert (A), emergency (E1) and extreme (E2). The second (FLC 2) specifies the appropriate action to avoid the transition to an extreme state. The simulation program, under MATLAB environment, was applied to evaluate the classification algorithm performances developed using the fuzzy logic technique.

Keywords: contingencies; classification of operation state; fuzzy logic; Newton Raphson; power flow.

DOI: 10.1504/IJPSE.2019.096677

International Journal of Process Systems Engineering, 2019 Vol.5 No.1, pp.53 - 66

Received: 02 Jan 2018
Accepted: 23 Mar 2018
Published online: 07 Dec 2018 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article