Identification of characterization factor for power system oscillation based on multiple synchronized phasor measurements

Abstract

SUMMARYElectric power systems in Japan are composed of remote and distributed location of generators and loads mainly concentrated in large-demand areas. The structures having long-distance transmission tend to produce heavy power flow with increasing electric power demand. In addition, some independent power producers (IPP) and power producer and suppliers (PPS) are participating in the power generation business, which makes power system dynamics more complex. However, there was little observation as a whole power system. In this paper the authors present a global monitoring system of power system dynamics by using the synchronized phasor measurement of demand-side outlets. Phasor Measurement Units (PMU) are synchronized based on the global positioning system (GPS). The purpose of this paper is to show oscillation characteristics and methods for processing original data obtained from PMU after certain power system disturbances triggered by accidents. This analysis resulted in the observation of the lowest and the second lowest frequency mode. The derivation of eigenvalue with the two-degree-offreedom model brings a monitoring of two oscillation modes. Signal processing based on wavelet analysis and simulation studies to illustrate the obtained phenomena are presented in detail.

Survey of Ambient Excitation Based Power Oscillation Analysis Methods

“…2 Method based on "stability" assumption. (1) single-mode-oriented method [3][4]. Generally, according to power system network structure and generators distribution, only one or two oscillation modes are joined together to dominate overall system dynamics.…”

Power systems inertia evaluation associated with PV installation by frequency analysis of inter-area oscillation based on phasor measurements

“…The authors have developed the synchronized phasor measurement system which can observe, among other things, the eigenvalues and frequency deviation [1,3]. Figure 1 shows PMU locations in the Japan power system installed by our research group, their installations are in university campuses, and we have installed 12 PMUs: 9 of them are installed in the supply area of west Japan's 60 Hz system and the other 3 are in the supply area of east Japan's 50 Hz system [3].…”

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

“…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]. In addition there are techniques for estimating eigenmodes from time-series data, such as line power flow fluctuations measured at a single point, for example the Prony method [7] or whitening filters [8,9].…”