A new fuzzy logic power system stabilizer performances

Abstract

This paper describes the performances of a new power system stabilizer, the Fuzzy Logic PSS (FLPSS). It is basically a PID (proportional-integral-derivative) type FLPSS with adjustable gains added outside in order to keep a simple structure. The FLPSS uses the generator speed deviation as primary input from which the accelerating power is derived as a secondary input. In order to validate the FLPSS, it has been compared with two reference stabilizers, the IEEE PSS4B and IEEE PSS2B from the IEEE Std 421.5. Conclusions are supported by a range of small and large signal analyses, performed on a four machine two areas test system (with two configurations).Index Terms--Electromechanical modes, fuzzy logic, large signal stability, power system stabilizer, small signal stability.

A model reference-based adaptive PSS4B stabilizer for the multi-machines power system

“…Kundur Test system with four machines-two areas [20] (presented in Fig. 6) is widely used in the Dynamic stability assessment [8,13,21]. The system has Symmetrical two areas with two machines in each area connected by weak tie-lines.…”

Design and experimental evaluation tests of a Takagi–Sugeno power system stabiliser

“…It can be observed that the spectrum of the power deviation signal exhibits a dominant oscillating mode around 1.2 Hz, which corresponds to the poorly damped electromechanical local mode of the synchronous 10 kVA generator against the large power system. By using the collected input-output data, a fourth order ARX model, having the structure presented in (11), was estimated. The values for the estimated parameters are provided in Table 2.…”

“…The adaptive methodologies investigated include: self-tuning control [7], robust-optimal control [8][9][10], fuzzy [11] and fuzzy-neural techniques [12], among others. In [11], a fuzzy logic PSS (FLPSS) was designed and its performance was assessed, by simulation studies, in a four-machine test system. The authors show that the performance obtained by using the FLPSS was comparable with the obtained when applying PSS2B or PSS4B controllers.…”

Adaptive Type-2 Fuzzy Controller for Load Frequency Control of an Interconnected Hydro Thermal System Including SMES Units

“…Uncertainity cannot be determined with its exact value, because of its complexity and rather type-1 fuzzy sets gives much senser than using crisp sets [21]. So, it is difficult to measure an uncertain membership function .…”