Monitoring the Wide Area Power System Dynamics by Phasor Measurement Units Based on Campus WAMS Strategy

Mitani, Yasunori; Kudo, Takeshi; Satake, Akihiro; Basri, Khairudin Hasan

doi:10.3182/20140824-6-za-1003.00771

Cited by 6 publications

(4 citation statements)

References 5 publications

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“…FFT is used to observe frequency characteristic. It can clearly be seen that the inter-area oscillation mode with about 0.4 Hz is identified and it is the dominant mode in Figure 3 which shows frequency characteristic obtained as a result of FFT of phase difference between Kyushu Institute of Technology and Osaka University [7,8]. This mode has the weak damping characteristic, the stability is worse than another mode.…”

Section: Frequency Analysis For Inter Area Oscillation Modementioning

confidence: 96%

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

Matsukawa

Terashi

Watanabe

et al. 2017

Journal of International Council on Electrical Engineering

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Recently, RES (renewable energy sources) have been introduced to realize a low carbon society. Installation of PV (Photovoltaics) is especially noticeable recently. RES, however, do not have inertia. If such sources increase, their influence on power system oscillations is a concern. Then, PMU (Phasor Measurement Unit) has been remarked to grasp a variable power system condition. In this study, changing of equivalent inertia of the power system is evaluated by identifying center frequency of inter-area oscillation derived by phasor difference frequency analysis using synchronized phasor information obtained from PMU. The center frequency is estimated by frequency analysis using FFT (Fast Fourier Transform) and inverse FFT. The result is evaluated quantitatively with reference to information of supply power and cumulative installation of PV. Additionally, the relationships between the center frequency and supply power or amount of global solar radiation are shown statistically.

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Section: Frequency Analysis For Inter Area Oscillation Modementioning

confidence: 96%

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

Matsukawa

Terashi

Watanabe

et al. 2017

Journal of International Council on Electrical Engineering

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“…The optimal placement, sizing, and tuning of FACTS devices, which improve the damping of electromechanical oscillation modes, is required, but obtaining optimality is always problematic. Placement and tuning techniques are available in the literature in different forms [1,[6][7][8][9][10][11][12][13][14][15][16]. The problem formation in [24][25][26] showed some scientific rigor in the formulation of the problem.…”

Section: Problemmentioning

confidence: 99%

“…The advent of wide-area measurement (WAMS), which uses global signals, brought a face lift to power systems monitoring and control using phasor measurement units (PMUs). WAMS offers increased observability and controllability in the power system, thereby improving the dynamic monitoring for stability enhancement [9]. Deployment of PMUs has brought about vast prospects for developing wide-area monitoring and control [10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Optimal siting, sizing, and parameter tuning of STATCOM and SSSC usingMPSO and remote coordination of the FACTS for oscillation damping of powersystems

Ambafi¹,

Adamu²

2019

Turk J Elec Eng & Comp Sci

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In electromechanical oscillation damping within power system, power system stabilizers (PSSs) are often deployed. However, a PSS is less effective in damping interarea oscillation and is limited by changes in network configuration due to weak tie-lines and load variations. Consequently, this paper presents a wide-area coordination approach that damps interarea oscillations using FACTS devices and phasor measurement units. We selected a static synchronous compensator (STATCOM) and static series synchronous compensator (SSSC) for realistic power system interarea oscillation damping. The performance of the coordinated FACTS installed in a power system depends on their suitable locations, sizes, tuned parameters, and remote input signal selection. Hence, we formulated a multiobjective problem to provide the STATCOM and SSSC's optimal solutions using multiobjective particle swarm optimization. In addition, we employed a participation factor to select suitable generator speed deviations as the wide area stabilizing signal. The proposed approach was tested on different configurations of the Kundur 2 -area 4 -machine test system within MATLAB and Psat environments. The outcome of the nonlinear simulation proved that the multimachine power system stability was enhanced.

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“…MicroGrids (MGs) are subsystems of complex Smart Grids. Till now, Phasor Measurement Unit (PMU) technology is often categorized as a significant tool to implement Smart Grids (Mitani et al, 2014). With regards to their control techniques, adaptive reference model approaches have proven their relevance as such in the works (Gibson et al, 2013;Narendra and Valavani, 1979).…”

Section: Introductionmentioning

confidence: 99%

Study of Closed-Loop Model Reference Adaptive Control of Smart MicroGrid with QNU and Recurrent Learning

Malý¹,

Vesely²,

Beneš³

et al. 2017

AMS

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An adaptive quadratic polynomial neural unit (QNU) controller for optimization of a conventional Smart Microgrid control loop is studied and proposed. The parameters associated with the studied grid plants are considered to be known in this study, with the fact that the load is unknown and time-variant. A sample-by-sample real-time recurrent learning algorithm of an additional QNU controller is derived, with its performance tested and discussed as a result of this paper.

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Monitoring the Wide Area Power System Dynamics by Phasor Measurement Units Based on Campus WAMS Strategy

Cited by 6 publications

References 5 publications

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

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

Optimal siting, sizing, and parameter tuning of STATCOM and SSSC usingMPSO and remote coordination of the FACTS for oscillation damping of powersystems

Study of Closed-Loop Model Reference Adaptive Control of Smart MicroGrid with QNU and Recurrent Learning

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