Experimental verification of multi-input PSS with reactive power input for damping low frequency power swing

Kitauchi, Yoshihiro; Taniguchi, Haruhito; Shirasaki, Takashi; Ichikawa, Yoshihiro; Amano, Masahiko; Banjo, M.

doi:10.1109/60.815037

Cited by 13 publications

(3 citation statements)

References 6 publications

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“…Also, these compensators damp low frequency power oscillations less than the others. The optimization method of MPSS parameters is given in [4] and is used in this paper.…”

Section: Configuration Of the Mpssmentioning

confidence: 99%

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Hierarchical fuzzy controller applied to multi-input power system stabilizer

Anarmarzi¹,

Feyzi

2010

Turkish Journal of Electrical Engineering and Computer Sciences

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This paper proposes the application of a hierarchical fuzzy system (HFS) based on multi-input power system stabilizer (MPSS) in multi-machine environment.The number of rules increases exponentially with the number of variables in a standard fuzzy system. This problem is solved in the proposed HFS method. In this method, the total number of rules increases only linearly with the number of input variables. HFS consists of a number of low-dimensional fuzzy systems in a hierarchical form. In the MPSS, the deviation of reactive power ΔQ is added to a ΔP + Δ ω input type Power System Stabilizer (PSS) to have better performance. The performances of MPSS and the proposed method in damping inter-area mode of oscillation are observed in response to disturbances. It is found that the proposed PSS is performing satisfactorily within the whole range of disturbances. This comparative study is demonstrated through digital simulations.

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“…Also, these compensators damp low frequency power oscillations less than the others. The optimization method of MPSS parameters is given in [4] and is used in this paper.…”

Section: Configuration Of the Mpssmentioning

confidence: 99%

“…Some literatures used speed deviation (Δ ω ) and accelerating power deviation (ΔP ) as the input signals of PSS. In Multi-input PSS (MPSS), the deviation of reactive power (ΔQ) is added to ΔP + Δ ω input type PSS for a long distance power system [4][5].…”

Section: Introductionmentioning

confidence: 99%

Hierarchical fuzzy controller applied to multi-input power system stabilizer

Anarmarzi¹,

Feyzi

2010

Turkish Journal of Electrical Engineering and Computer Sciences

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“…The control performance of the PSS deteriorates under different frequency oscillation modes or system conditions, because the PSS has fixed parameters. In Japan, recently, the ∆P + ∆ω PSS [2,3] has become standard and is commonly applied in real power systems to suppress both higher-frequency (more than 1 Hz) and lower-frequency (less than 1 Hz) power swings. However, it is difficult to tune the ∆P + ∆ω PSS parameters because of their multiple inputs.…”

Section: Introductionmentioning

confidence: 99%

Stabilization control of multi‐machine power systems by adaptive power system stabilizer using frequency domain analysis

Senjyu

Yamashita

Uezato

2002

Electrical Engineering Japan

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SUMMARYTo improve electric power system transient stability, synchronous generators are generally equipped with controllers such as AVR, PSS, and GOV. Fixed parameter controllers degrade control performance, since various oscillation modes occur depending on system conditions. This paper presents an adaptive power system stabilizer (PSS) using frequency domain analysis for improving the transient stability of a multimachine system. In the proposed method, first, the frequency components of the generator swings are detected by the FFT. The conventional PSS parameters are tuned online by a fuzzy controller and frequency domain analysis. We verify the proposed adaptive PSS using frequency domain analysis, which can damp the generator swings effectively.

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