Screening technique for identifying the risk of sub‐synchronous resonance

Li, Haifeng; Liu, Chongru; Li, Gengyin; Annakkage, U.D.

doi:10.1049/iet-gtd.2015.0764

Cited by 7 publications

(10 citation statements)

References 16 publications

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“…CIF [19] performs the evaluation of the SSR risk caused by fix compensation capacitor for thermal generators. Little information on generator shafts are required to obtain the CIF.…”

Section: The Compensation Impact Factormentioning

confidence: 99%

“…But it does not mean that SSR will occur. Therefore, [19] gives a threshold value T CIF =0.2 to forecast that there is no SSR threat for the generator if CIF<T CIF .…”

Section: The Compensation Impact Factormentioning

confidence: 99%

“…When CIF is smaller than TCIF=0.2 [19], the corresponding (Xeq1, Xeq2, Xtr) point is of the safety reactance XSYS-sty of Figure 2. Figure 4 shows that the CIF with different points of (Xeq1, Xeq2, Xtr).…”

Section: B Safety Reactancementioning

confidence: 99%

“…Besides, the aforementioned 2 methods cost too much computation resource, which is dramatically increasing when the system scale and number of generator increase. Compensation impact factor (CIF) [19] method uses an equivalent source model for generators and only needs the generator capacity and voltage level. Then the CIF for each generator can be determined.…”

Section: Introductionmentioning

confidence: 99%

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A Fast Method to Determine Short-circuit Capacity Based on Compensation Impact Factor

Li¹,

Song²,

Xia³

et al. 2018

Proceedings of the 2018 2nd International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2018)

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Abstract-This paper proposes a fast method to determine short-circuit capacity for an AC system, which includes a compensation capacitor, to avoid sub-synchronous resonance (SSR) risk at a system planning stage. Firstly, the compensation impact factor (CIF) is calculated for generators with different short-circuit capacities. If CIF of all generators are below the threshold value, then the short-circuit capacity is the safety one. Finally, safety short-circuit capacity group is formed and strongly suggested to the system planning due to no SSR risk threating the system. The proposed method needs simple system modeling and calculation process and little information on generator shaft. Simulation results show that the proposed method can precisely determine the safety short-circuit capacity group for the system.

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“…CIF [19] performs the evaluation of the SSR risk caused by fix compensation capacitor for thermal generators. Little information on generator shafts are required to obtain the CIF.…”

Section: The Compensation Impact Factormentioning

confidence: 99%

“…But it does not mean that SSR will occur. Therefore, [19] gives a threshold value T CIF =0.2 to forecast that there is no SSR threat for the generator if CIF<T CIF .…”

Section: The Compensation Impact Factormentioning

confidence: 99%

Section: B Safety Reactancementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Fast Method to Determine Short-circuit Capacity Based on Compensation Impact Factor

Li¹,

Song²,

Xia³

et al. 2018

Proceedings of the 2018 2nd International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2018)

Self Cite

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“…In this section, we present a discussion involving basic aspects of the active filters for generation and distribution grids. It is important to comment that there are also power electronics compensators for transmission grids presenting different features as, for instance, damping subsynchronous resonance [1], power flow control [2,3] and improve the stability of a power system [4]. These compensators are known as Flexible AC Transmission System (FACTS), and their study is beyond the scope of this chapter.…”

Section: Introductionmentioning

confidence: 99%

New Trends in Active Power Filter for Modern Power Grids

Monteiro¹

2018

Power System Harmonics - Analysis, Effects and Mitigation Solutions for Power Quality Improvement

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From harmonic compensation to interface with renewable energy sources, active filters are capable to improve power quality, increase the reliability of the power grid, and contribute to make feasible the implementation of decentralized microgrids. In this scenario, this chapter provides a discussion involving new trends on distribution power grids, with active power filters playing an important key role. Considering the aforementioned explanation, part of the chapter covers active filter applications for power grids. In sequence, we discuss time domain control algorithms to identify power quality disturbances or other problems that may compromise the power grid reliability, with simulation results to evaluate the performance of the active filters for compensating power quality problems under transient-and steady-state conditions. Next, we discuss the integration of active filters with renewable energy sources (RENs) including a brief explanation of maximum power point tracking (MPPT) algorithms and other controllers considering a decentralized microgrid scenario with several active filters connected at the same grid circuit.

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