Real-time State Estimation in a System Partially Observed by PMUs: A Coherency Data Mining Based Approach

Ortiz, Gabriel; Rehtanz, Christian; Colomé, Graciela

doi:10.1109/icpes47639.2019.9105457

Cited by 2 publications

(3 citation statements)

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“…For further information regarding the scheme to define the PMU topology and the classifier in charge of forecasting bus voltage coherency readers can refer to [25].…”

Section: Methodology For Full Pmu Observability Restorationmentioning

confidence: 99%

“…The main contribution of this paper is the ability of the developed scheme to accurately estimate at high speed power system dynamics associated to slow and fast transient events with a reduced number of PMUs. It is an enhanced version of a previously developed hybrid static state estimator [25]. This time, two changes are introduced: the first one aims at improving the robustness of the estimation process by using a WLAV estimator instead the WLS method to estimate grid bus voltages in transient regime at high speed; the second one involves the incorporation of an EKF based dynamic state estimator in charge of estimating dynamic states of all generators and motors in the power system, even if the unit is not observed by a PMU.…”

Section: Introductionmentioning

confidence: 99%

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Monitoring of power system dynamics under incomplete PMU observability condition

Ortiz

Rehtanz

Colomé

2020

IET Generation Trans & Dist

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This work presents a hybrid state estimation procedure that allows power system dynamics associated to slow and fast transient events to be accurately monitored considering a limited amount of phasor measurement units. The proposal represents an enhanced version of a previously developed static state estimation approach. This time, two main changes are introduced. First, a weighted least absolute value estimator instead the conventional weighted least square technique is used to estimate bus voltages in transient regime. This makes the estimation process more robust at fast scan rates. Second, an extended Kalman filter based dynamic state estimator is integrated. Thus, the proposed scheme is able to estimate, along with static variables, dynamic variables of all generators and motors in the power system regardless of the availability of phasor measurement unit measurements at terminal buses. This is possible thanks to a novel data-mining based methodology for full phasor measurement unit observability restoration. Performance parameters such as accuracy, computing time and convergence properties are assessed by applying the estimation procedure to the New England benchmark system under different operating conditions.

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“…For further information regarding the scheme to define the PMU topology and the classifier in charge of forecasting bus voltage coherency readers can refer to [25].…”

Section: Methodology For Full Pmu Observability Restorationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Monitoring of power system dynamics under incomplete PMU observability condition

Ortiz

Rehtanz

Colomé

2020

IET Generation Trans & Dist

Self Cite

View full text Add to dashboard Cite

show abstract

“…In Ref. 32 a coherency‐based data mining approach is used for estimating the states of the power system which is partially observable by PMUs. In Ref.…”

Section: Introductionmentioning

confidence: 99%