A Bayesian Approach to Forced Oscillation Source Location Given Uncertain Generator Parameters

Chevalier, Samuel; Vorobev, Petr; Turitsyn, Konstantin

doi:10.1109/pesgm40551.2019.8973771

Cited by 7 publications

(12 citation statements)

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“…For instance, a dissipating energy flowbased method for source location is developed and adopted by Independent System Operator -New England (ISO-NE) [7], [8]. Furthermore, a Bayesian approach is proposed to address generator parameter uncertainties [9]. In terms of source location system structure, a two-level framework is suggested in [10].…”

Section: Introductionmentioning

confidence: 99%

A Comprehensive Method to Mitigate Forced Oscillations in Large Interconnected Power Grids

Zhu

Jiang

et al. 2021

IEEE Access

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Multiple severe forced oscillation events have recently been observed across the North American interconnections and around the world. These forced oscillations have caused power swings, limited power transfer capability, damaged equipment, and persisted indefinitely until the driving source was located and removed. This paper proposes a comprehensive method to mitigate forced oscillations. Once a forced oscillation is detected, a new source location algorithm can be used to locate the source based on the oscillation mode angle without requiring system topology information. If the source cannot be quickly located and removed, a control strategy can be activated to modulate the active power of utility-scale inverter-based battery energy storage systems (BESSs) to reduce the energy of forced oscillations to a safe level and allow sufficient time for locating the exact source. The proposed source location algorithm is validated using measurements collected during the January 11, 2019 forced oscillation event in North America and other actual grid events, while the proposed control strategy is verified using the Eastern Interconnection dynamic model under the replicated January 11, 2019 forced oscillation event. The simulation results demonstrated that the proposed source location algorithm can accurately identify the forced oscillation source, and the proposed control strategy can significantly reduce forced oscillation energy.

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Section: Introductionmentioning

confidence: 99%

A Comprehensive Method to Mitigate Forced Oscillations in Large Interconnected Power Grids

Zhu

Jiang

et al. 2021

IEEE Access

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“…However, finding the location of force oscillations is not an easy task. There are some studies for locating them, described in the literature [17]. Another important area of stability is related to robust stability analysis of power systems [18].…”

Section: Introductionmentioning

confidence: 99%

Improvement of Power System Small-Signal Stability by Artificial Neural Network Based on Feedback Error Learning

Nazlibilek

Ali²,

Askir

2021

Teh. vjesn.

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Electrical power systems usually suffer from instabilities because of some disturbances occurring due to environmental conditions, system failures, and loading conditions. The most frequently encountered problem is the loss of synchronization between the rotor angle and the stator magnetic angle for synchronous generators. The contribution of this study is that a nonlinear adaptive control approach called feedback error learning (FEL) is utilized to improve the small-signal stabilities of an electric power system. The power system under study is composed of a synchronous machine connected to infinite bus. Many advantages of FEL control approach makes it capable to robustly adapting with all possible operating conditions rather than using optimization algorithms for tuning the conventional power system stabilizer (CPSS) that is still unsatisfactory especially at some critical operating points. The performances of two controllers, namely the proposed FEL scheme and the conventional controller CPSS, are tested by Matlab simulations. It is found that the FEL controller can be effectively used as an alternative stabilizer for improving small-signal stabilities of the power system.

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“…Reference [15] presents a scheme of cut set energy to locate the oscillation source. The effective generator impedance [16] and a Bayesian approach [17] are employed to locate forced oscillation source. An improved periodogram detector [18], a multitaper approach [19], and an envelope shape-based method [20] are separately used to detect FOs.…”

Section: Introductionmentioning

confidence: 99%

“…Although the physical concept of the energy-based positioning methods [12]- [15] is clear, the construction of energy functions is a difficult problem for complex power systems. Using the effective generator impedance [16] or the Bayesian approach [17] to locate the oscillation source requires the model and parameters of generators. Signal processing methods [22], [23] can distinguish between forced oscillation and natural oscillation but lacked a physical concept.…”

Section: Introductionmentioning

confidence: 99%

Location and Mechanism Analysis of Oscillation Source in Power Plant

Sun

2020

IEEE Access

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A generation unit that is poorly damped or has periodical mechanical power outputs from its prime mover can become a source of oscillation in a bulk power system. Choosing the proper electric quantity to extract the oscillation characteristics is crucial for the location and mechanism analysis of the oscillation source. This paper proposes the concept of oscillation phasor to characterize a type of sustained power system oscillations that originate from power plants. On this basis, a two-stage scheme is presented to locate one type of the sustained oscillation source and discover its mechanism: first, Prony analysis and the first wave algorithm are applied to extract the oscillation phasors on active power and angular frequency; second, the phase relationships between the oscillation-source generator and other generators are derived to guide the location of the source; finally, damping estimation on these oscillation phasors help distinguish a forced oscillation from a poorly damped oscillation. The proposed scheme is first demonstrated in detail on a two-area four-machine system and then tested using historical oscillation event data.

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A Bayesian Approach to Forced Oscillation Source Location Given Uncertain Generator Parameters

Cited by 7 publications

References 0 publications

A Comprehensive Method to Mitigate Forced Oscillations in Large Interconnected Power Grids

A Comprehensive Method to Mitigate Forced Oscillations in Large Interconnected Power Grids

Improvement of Power System Small-Signal Stability by Artificial Neural Network Based on Feedback Error Learning

Location and Mechanism Analysis of Oscillation Source in Power Plant

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