TS-fuzzy controller for UPFC in a multimachine power system

Abstract

The unified power flow controller is one of the most versatile flexible AC transmission system devices, which can be used to control the active and reactive power flows in a transmission line by injecting a variable voltage in series and reactive current in shunt. The application of Takagi-Sugeno type fuzzy logic controllers for UPFC voltage source inverter control in a multi-machine power system environment is proposed. This type of fuzzy controller provides a wide range of control gain variation by including both linear and non-linear terms in the consequent part of the fuzzy rule base. The TS fuzzy controllers are quite general in that they use arbitrary input fuzzy sets, any type of fuzzy logic, and the general defuzzifier. Several computer simulation tests on a multi-machine power system indicate the significant damping performance of this new TS fuzzy controller for the UPFC.

A Comparative Study of Two Types of Fuzzy Logic Controllers for Shunt Active Power Filters

“…The order of the TSK-fuzzy model is given by the order of the polynomial f(x, y). A TSK-type fuzzy controller can provide a wide range of control gain variation and can use both linear and non-linear rules in the consequent expression of the fuzzy rule base [15]. The Mamdani type of fuzzy controller used for the control of SAPF has the drawback of larger number of fuzzy sets and rules.…”

“…Also it has guaranteed continuity of output surface. Design of a novel variable gain PI-controller using TSK fuzzy model is given in [8,15]. Application of similar controller to SAPF is given in Fig.…”

Robust Decentralized Control of Unified Power Flow Controller

“…One input is designated as a desired input and the other as a disturbance input. The inverse of the plant matrix is given by: = * * * * * * * * * − mm m2 m1 2m 22 21 1m 12 11 1 P P P P P P P P P P(s) (10) The m 2 effective plant transfer function is:…”

“…As a result, a fixed parameter controller based on the classical control theory such as PI or lead-lag controller [3,[7][8][9] is not certainly suitable for a UPFC control method. Thus, some authors have suggested fuzzy logic controllers [10] and neural networks method [11] to deal with system parameters changes for enhance system damping performance. However, the param-eters adjustments of these controllers need some trial and error.…”

Takagi-Sugeno Fuzzy Control Based on Robust Stability Specifications

“…This fact has motivated the use of fuzzy logic in the development of fuzzy model based control systems. In this context, The Fuzzy Systems have been widely used due to flexibility of its structure to incorporate linguistic information (knowledge expert) with numerical information (sensors and actuators measurements), as well as its functional efficiency as universal approximator capable of treat adequately uncertainties, parametric variations and nonlinearity of the plant to be controlled (Castro-Sitiriche et al, 2008;Cetin & Demir, 2008;Cheng et al, 2009;Ibrahim, 2003;Mishra et al, 2000;Park et al, 2007;Wen-Xu et al, 2009). Modeling is the task that simplifies a real system or complex reality with the aim of easing its understanding.…”