Effects of generating allocation to tie‐line flow fluctuation spectrum

Saitoh, Hiroumi; Toyoda, J.; Ishioka, Osamu; Kobayashi, Yuuji

doi:10.1002/eej.4391080403

Cited by 9 publications

(2 citation statements)

References 3 publications

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“…As mentioned in Ref. [1], the tie-line power flow observed for the weakly damped long-period modes in the Tohoku-Kanto interconnected system shows small fluctuations with an average amplitude of about 1% of the maximum power. Based on these past data, the active power flow on line #36 is 1000 MW to 3000 MW in the 60 system states.…”

Section: Generation Of Pseudomeasurement Data Using System Modelmentioning

confidence: 60%

“…Much research has been performed on the transient stability and steady-state and dynamic-state stability of power systems. As regards real-time estimation of eigenmodes using real response, our group investigated the damping effect in power systems using the power spectra of tie-line flow fluctuations and regression analysis [1,2], and eigenmode estimation based on multipoint synchronized measurement and system identification [3,4]. There have also been studies using synchronized measurement [5,6].…”

Section: Introductionmentioning

confidence: 99%

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Determination of Whitening Filter Order for Estimation of Electromechanical Mode by Regression Model Representing Power System Damping Characteristics

Sugawara

Saitoh

Akiyama

et al. 2014

Elect Comm in Japan

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SUMMARYThis paper proposes a new method of estimating accurately the modal damping of a weakly damped electromechanical oscillation in power systems. The proposed method is based on a whitening filter (finite impulse response filter) to estimate the modal damping from the system response and a regression model to express the relation between the modal damping and system state variables, such as the active and reactive power outputs of generators. The feature of the method is that an optimal order of the whitening filter is determined so as to minimize the error of the linear regression model. A simulation study using the IEEJ EAST 10 machine model shows that the proposed method is effective for accurate estimation of weakly damped oscillation modes. C⃝

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Section: Generation Of Pseudomeasurement Data Using System Modelmentioning

confidence: 60%