Online oscillation monitoring of synchronous generators using Parallel-Prony analysis

Saraf, Parimal; Venayagamoorthy, G.K.; Luitel, Bipul

doi:10.1109/isgt.2014.6816506

Cited by 6 publications

(4 citation statements)

References 8 publications

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“…Through modal analysis, oscillations at 0.22Hz, 0.42Hz and 0.54Hz can be observed to be the most prominent inter-area oscillation modes [16]. It is shown in Fig.…”

Section: Test Electrical Power Systemmentioning

confidence: 92%

“…A comparison of the damping ratio for each oscillation mode with and without the designed controller is shown in Table II. These damping ratios are calculated using Prony Analysis [16]. Case II: With the transmission line from Bus 1 to Bus 2 already tripped, the system operating condition change to OC2, then a 100ms three-phase fault happened at Bus 8.…”

Section: Tuning Platformmentioning

confidence: 99%

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Adaptive inter-area oscillation damping controller for multi-machine power systems

Tang

Venayagamoorthy

2016

Electric Power Systems Research

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The interconnection of multiple generation units in a power system can lead to inter-area oscillations that generally occur under critical operating conditions. To damp these oscillations, supplementary control can be provided by a wide area control (WAC) system using remote measurements from the power system. Wide area controllers designed with traditional approaches are non-adaptive and thus their control policy may not be optimal to nonlinear operation conditions and disturbances. In this paper, the concept of an artificial immune system (AIS) is applied in the development of an innate and adaptive controller to handle known, unknown and random disturbances in a power system. Furthermore, with synchronous generator coherency grouping, remote virtual generator measurements are used to generate supplementary control signals to a synchronous generator that is identified to have maximum controllability on a power system. Real-time simulation and frequency analysis results show the superior performance of AIS-based controller in damping inter-area oscillations for different power system conditions and disturbances.

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“…Through modal analysis, oscillations at 0.22Hz, 0.42Hz and 0.54Hz can be observed to be the most prominent inter-area oscillation modes [16]. It is shown in Fig.…”

Section: Test Electrical Power Systemmentioning

confidence: 92%

Section: Tuning Platformmentioning

confidence: 99%

Adaptive inter-area oscillation damping controller for multi-machine power systems

Tang

Venayagamoorthy

2016

Electric Power Systems Research

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“…On the other hand, the results in the Table 7 also indicate that the proposed approach exhibits a better OSM estimation accuracy than Prony. Meanwhile, when the system scale gradually increases, the calculation time of Prony for a case will increase proportionally, and therefore the performance of Prony is limited by the capacity of the computing platform [31]. However, the proposed OSA approach in this paper uses the trained candidate RBFs to perform OSA based on the real-time operating data of the system.…”

Section: Additional Testmentioning

confidence: 99%

A Data-Driven Approach for Online Inter-Area Oscillatory Stability Assessment of Power Systems Based on Random Bits Forest Considering Feature Redundancy

et al. 2021

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To utilize the rapidly refreshed operating data of power systems fully and effectively, an integrated scheme for inter-area oscillatory stability assessment (OSA) is proposed in this paper using a compositive feature selection unit and random bits forest (RBF) algorithm. This scheme consists of offline, update, and online stages, and it can provide fast and accurate estimation of the oscillatory stability margin (OSM) by using the real-time system operating data. In this scheme, a compositive feature selection unit is specially designed to realize efficient feature selection, which can significantly reduce the data dimensionality, effectively alleviate feature redundancy, and provide accurate correlation information to system operators. Then, the feature set consisting of the selected pivotal features is used for the RBF training to build the mapping relationships between the OSM and the system operating variables. Moreover, to enhance the robustness of the scheme in the face of variable operating conditions, an update stage is developed. The effectiveness of the integrated scheme is verified on the IEEE 39-bus system and a larger 1648-bus system. Tests of estimation accuracy, data processing speed, and the impact of missing data and noise data on this scheme are implemented. Comparisons with other methods reveal the superiority of the integrated scheme. In addition, the robustness of the scheme to variations in system topology, distribution among generators and loads, and peak and minimum load is studied.

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“…In a most recent contribution [23], Prony method with moving window is implemented in real-time simulator and the performance is increased with a high performance computing platform.…”

Section: Introductionmentioning

confidence: 99%

On-line oscillations monitoring under high penetration of non-synchronous generation

Chamorro

Ordóñez²,

Peng

et al. 2015

2015 IEEE International Conference on Smart Grid Communications (SmartGridComm)

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The large scale penetration of non-synchronous generation based power electronics converters interfaces in current power systems is modifying their dynamic characteristics. The observation, monitoring and supervision of the electromechanical oscillation changes due to this integration is a requirement in order to protect the system from undesired events. This paper uses the Prony analysis to estimate the critical modes by using the tie-lines which interconnect the operative areas as measurement points and evaluating the impact of the large gradual scale inclusion of non-synchronous generation on power systems. The modes monitoring involved in the transient dynamic response are shown in the different penetration level cases. From the computed measurements, the frequency and damping variation in the different cases studied on the test system is obtained, which shows the impact of the large inclusion of non-synchronous generation.

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Online oscillation monitoring of synchronous generators using Parallel-Prony analysis

Cited by 6 publications

References 8 publications

Adaptive inter-area oscillation damping controller for multi-machine power systems

Adaptive inter-area oscillation damping controller for multi-machine power systems

A Data-Driven Approach for Online Inter-Area Oscillatory Stability Assessment of Power Systems Based on Random Bits Forest Considering Feature Redundancy

On-line oscillations monitoring under high penetration of non-synchronous generation

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