A Fast Decoupled State Estimator for Systems Measured by PMUs

Given the rapid increase in the number of phasor measurement units (PMU) installed in substations in recent years, it is not unrealistic to assume that most transmission systems will be fully observable by only PMU measurements in the not so distant future. Such a scenario will enable faster and numerically easier state estimation solution which will be non-iterative due to the linearity of the PMU measurement equations. However, as will be shown in this paper, the benefits do not end there and a closer look at these equations reveals further possibilities of simplification and therefore improved performance of state estimators that use only PMU measurements. Specifically, the paper formulates an alternative decoupled solution, which reduces the size of the state estimation problem, increases computational performance yet maintains high solution accuracy. Both state estimation as well as bad data processing can be efficiently carried out within the developed decoupled formulation.


A Hybrid State Estimator For Systems With Limited Number of PMUs
Göl, Murat (2015-05-01)
This paper is concerned about effective incorporation of a limited number of phasor measurement unit (PMU) measurements into the state estimation solution in order to enhance the state tracking accuracy and speed. This is particularly important for fast changing system conditions when rapid control action may be necessary based on the onset of voltage instability due to an unexpected event. Under such conditions, SCADA-based state estimators may be too slow in capturing the changes in system state due to th...
A Robust PMU Based Three-Phase State Estimator Using Modal Decoupling
Göl, Murat (2014-09-01)
Power systems do not always operate under fully balanced conditions because of unbalanced loads and untransposed transmission lines. Under such conditions, commonly used positive sequence equivalent will no longer be valid. On the other hand, use of full three-phase model will add significant computational burden for the considered application. This paper describes a simple approach to address this issue for the specific application of state estimation. The main idea is to exploit the linearity of the estim...
A multiscale analytical correction technique for two-dimensional thermal models of AlGaN/GaN HEMTs
Azarifar, Mohammad; Donmezer, Nazli (2017-07-01)
Two-dimensional approaches are widely used in the numerical thermal models of AlGaN/GaN high electron mobility transistors (HEMTs) to reduce the high computational cost of the three-dimensional approaches. The aforementioned simplified models predict inaccurate device temperatures with significant overestimation of the thermal resistance. In order to take advantage of the computational efficiency of the two-dimensional models, a correction procedure is necessary for the accurate representation of the actual...
Extended Kalman Filter Based State and Parameter Estimation Method for a Buck Converter Operating in a Wide Load Range
Candan, Muhammed Yusuf; Ankaralı, Mustafa Mert (2020-10-11)
© 2020 IEEE.The vast majority of buck converter modeling and control studies rely on the assumption that load resistance operates near a nominal value. Accordingly, controller and estimator designs in literature are mainly centered around the assumed nominal load resistance. In this paper, we approach the problem from a different perspective. We propose an hybrid Extended Kalman Filter (EKF) based state, parameter (load resistance), and operation mode estimator for the buck converter topology. The proposed ...
Yıldız, Tuna; Göl, Murat; Department of Electrical and Electronics Engineering (2021-6-18)
Considering the increase in power system size and the number of PMUs, it is essential to use a computationally efficient state estimator. The Fast Decoupled State Estimation is the most common method used in industrial applications, thanks to its computational efficiency and ease of implementation. However, it can be improved further by using sparse storage techniques, thanks to the sparse structure of the state estimation matrices. In literature, there are several types of sparse storage algorithms, howev...
Citation Formats
M. Göl, “A Fast Decoupled State Estimator for Systems Measured by PMUs,” IEEE TRANSACTIONS ON POWER SYSTEMS, pp. 2766–2771, 2015, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/42230.