2017
DOI: 10.1109/tsg.2015.2470648
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ARMAX-Based Transfer Function Model Identification Using Wide-Area Measurement for Adaptive and Coordinated Damping Control

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Cited by 72 publications
(26 citation statements)
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“…33 shows the WADC output sent to most controllable pp. 1-12 14 16 18 20 The area under the curve for absolute value of speed deviations are analyzed as shown in Table 13 and it is found that the area under the curve is reduced by 54%, and 56% with WADC for generators 7, and 10 respectively. Fig.…”
Section: Simulation Results Of 39 Bus Systemmentioning
confidence: 99%
See 1 more Smart Citation
“…33 shows the WADC output sent to most controllable pp. 1-12 14 16 18 20 The area under the curve for absolute value of speed deviations are analyzed as shown in Table 13 and it is found that the area under the curve is reduced by 54%, and 56% with WADC for generators 7, and 10 respectively. Fig.…”
Section: Simulation Results Of 39 Bus Systemmentioning
confidence: 99%
“…The use of PMU data for wide-area control of STATCOM is addressed in [15], but the effect of mutual coupling during mode estimation and optimal signal selection is not represented. A power system model using MIMO identifcation based on auto-regressive moving average exogenous (ARMAX) methodology is developed in [16] but an optimal method for signal selection is not addressed.…”
Section: Introductionmentioning
confidence: 99%
“…Since the FNET/GridEye went online in 2003, more than 15 TB of data have been collected. Based on these real-time measurements, a variety of online and offline applications have been developed to monitor power system dynamic behaviors, such as event location estimation [18], inter-area oscillation mode identification [19], and adaptive data-driven damping control [20].…”
Section: Wide-area Frequency Monitoring Network Fnet/grideyementioning
confidence: 99%
“…Based on Power Systems Computer Aided Design simulation software, the full order electromagnetic simulation model of doubly fed induction generator is established in [7]. astochastic analysis model of wind power generation is constructed in [8], the effects of wind and solar hybrid generation system and the single wind power generation system on voltage are analyzed and compared.…”
Section: Modeling and Simulationmentioning
confidence: 99%