Impact of Overexcitation Limiters on the Power System Stability Margin Under Stressed Conditions

Anagnostou, G.; Pal, Bikash C.

doi:10.1109/tpwrs.2015.2440559

Cited by 17 publications

(13 citation statements)

References 30 publications

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“…2. In this model, all synchronous machines are designed using their transient models, as previously presented, whereas, fast static exciters have been used for all the machines, described by (7), as opposed to the DC excitation systems which are utilized in [28], [39], to enable fast system response to contingencies [4]. With reference to (7), the parameter details of the excitation system used are K A = 200, and T A = 0.01 s, for all generators.…”

Section: A 9-bus 3-machine Systemmentioning

confidence: 99%

“…r Case Study 1C: The overexcitation limiter (OEL) of Gen. 1 gets activated at the time instant t = 3.34 s. The OEL used is of takeover type, designed according to the error signal substitution scheme, the design characteristics and the block diagram of which can be found in [4]. This OEL type is likely to lower system stability margins, therefore, it is important for its activation to be detected by the proposed anomaly identification scheme [4]. The measurements are obtained at bus 4.…”

Section: A 9-bus 3-machine Systemmentioning

confidence: 99%

“…Here, the synchronous machines, which are not characterized by manual excitation (i.e. the first 12), are equipped with fast static exciters, described by (7), to enable fast system response to contingencies, in a similar approach as in the previous system, and to facilitate the application of OELs [4]. The exciter design details are the same as in the previous study system.…”

Section: B Ieee Benchmark 68-bus 16-machine Systemmentioning

confidence: 99%

“…Moreover, same measurement noise levels as in the previous test system related case studies have been considered. Three case studies have been examined: designed according to the error signal substitution scheme, the design characteristics and the block diagram of which can be found in [4]. The measurements are obtained at bus 22.…”

Section: B Ieee Benchmark 68-bus 16-machine Systemmentioning

confidence: 99%

“…The success of the proposed anomaly detection algorithm can be easily evidenced, with the events being captured at time instants 2.01 s, 2.05 s, and 3.37 s, for case studies 2A, 2B, and 2C, respectively. It has to be noted that, the proposed anomaly detection strategy is able to capture the OEL operation, without the need for excitation voltage measurements, as in [4], where the practice of OEL activation detection is primarily based on excitation voltage measurements.…”

Section: B Ieee Benchmark 68-bus 16-machine Systemmentioning

confidence: 99%

See 4 more Smart Citations

Observer-Based Anomaly Detection of Synchronous Generators for Power Systems Monitoring

Anagnostou

Boem

Kuenzel

et al. 2018

IEEE Trans. Power Syst.

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This paper proposes a rigorous anomaly detection scheme, developed to spot power system operational changes which are inconsistent with the models used by operators. This novel technique relies on a state observer, with guaranteed estimation error convergence, suitable to be implemented in real time, and it has been developed to fully address this important issue in power systems. The proposed method is fitted to the highly nonlinear characteristics of the network, with the states of the nonlinear generator model being estimated by means of a linear time-varying estimation scheme. Given the reliance of the existing dynamic security assessment tools in industry on nominal power system models, the suggested methodology addresses cases when there is deviation from assumed system dynamics, enhancing operators' awareness of system operation. It is based on a decision scheme relying on analytical computation of thresholds, not involving empirical criteria which are likely to introduce inaccurate outcomes. Since falsealarms are guaranteed to be absent, the proposed technique turns out to be very useful for system monitoring and control. The effectiveness of the anomaly detection algorithm is shown through detailed realistic case studies in two power system models.

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Section: A 9-bus 3-machine Systemmentioning

confidence: 99%

Section: A 9-bus 3-machine Systemmentioning

confidence: 99%

Section: B Ieee Benchmark 68-bus 16-machine Systemmentioning

confidence: 99%

Section: B Ieee Benchmark 68-bus 16-machine Systemmentioning

confidence: 99%

Section: B Ieee Benchmark 68-bus 16-machine Systemmentioning

confidence: 99%

See 3 more Smart Citations

Observer-Based Anomaly Detection of Synchronous Generators for Power Systems Monitoring

Anagnostou

Boem

Kuenzel

et al. 2018

IEEE Trans. Power Syst.

Self Cite

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Effects of different generator reactive power limits representation on load margins

Alvarenga

Santos

Moura

et al. 2019

Int Trans Electr Energ Syst

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SUMMARY This paper analyzes the influence of different static limits representation of generators on the load margins in voltage stability studies. Usually, a static representation of reactive power limits sets the reactive power generation at a machine to its maximum (or minimum) capacity. In this paper, an approach that considers the internal voltage of generators is presented, so both models are compared. These procedures are established using conventional bus type and the remote control bus type representations (PQV, P and θ bus type). These models are applied to a multi‐machine system under different operating conditions. This knowledge aggregates crucial information to the analysis of the operating limits of the system. Thus, the main contribution of this paper is the accurate determination of load margin when different generator reactive power limits models are considered. Hence, the role of the overexcitation of generators is highlighted as a function of the reactive power margin.

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A new phase-driven approach to pinpoint source of forced oscillations based on fundamental frequency

2022

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Impact of Overexcitation Limiters on the Power System Stability Margin Under Stressed Conditions

Cited by 17 publications

References 30 publications

Observer-Based Anomaly Detection of Synchronous Generators for Power Systems Monitoring

Observer-Based Anomaly Detection of Synchronous Generators for Power Systems Monitoring

Effects of different generator reactive power limits representation on load margins

A new phase-driven approach to pinpoint source of forced oscillations based on fundamental frequency

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