Incorporation of pmus in power system state estimation
Başlık çevirisi mevcut değil.
- Tez No: 401213
- Danışmanlar: PROF. ALİ ABUR
- Tez Türü: Doktora
- Konular: Elektrik ve Elektronik Mühendisliği, Electrical and Electronics Engineering
- Anahtar Kelimeler: Belirtilmemiş.
- Yıl: 2014
- Dil: İngilizce
- Üniversite: Northeastern Unıversıty
- Enstitü: Yurtdışı Enstitü
- Ana Bilim Dalı: Belirtilmemiş.
- Bilim Dalı: Belirtilmemiş.
- Sayfa Sayısı: Belirtilmemiş.
Özet
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Özet (Çeviri)
This dissertation describes new methods to efficiently incorporate PMUs in power system state estimation, which plays a key role in effective operation of power markets and enabling real-time security assessment of power systems. The dissertation describes new observability and criticality analysis methods for power systems measured by both SCADA and PMU measurements. Prior to state estimation observability analysis needs to be performed to check if the system is observable with respect to the given measurement set, i.e. if the state estimation problem has a unique solution. Moreover, it is important to identify the critical measurements, whose removal causes unobservability. It should be noted that conventional observability and criticality analysis methods cannot be applied if there are PMUs in the system. The dissertation then introduces an observability restoration method for unobservable power systems by optimally placing pseudo-measurements, such that they all will be strictly critical. Another issue that is addressed by this dissertation is estimator's robustness. A Least Absolute Value (LAV) estimator is proposed and described for this purpose. It exploits the fact that given sufficient number of PMUs to make the system observable, the state estimation problem becomes linear. It is shown that an LAV based estimator not only provides robustness but becomes computationally competitive with the existing WLS based estimators. Robustness of LAV estimator requires a certain level of measurement redundancy, which is achieved by an optimal PMU placement strategy developed in this work. Next, a hybrid state estimator, which can utilize both SCADA and PMU measurements, is developed. Given the different refresh rates of SCADA and PMU measurements, the hybrid estimator switches between WLS and LAV estimators If only PMU measurements are updated, the LAV estimator provides best updates for the state estimates, while the WLS estimator is used when full set of PMU and SCADA measurements are updated. Finally, a novel formulation of three-phase state estimation problem using modal decomposition is described. This is valid for general unbalanced system operation where there exists sufficient number of PMUs to make the three-phase system observable.
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