Forecasting-Aided State Estimation—Part I: Panorama

“…The initial value of state x(0) is a white Gaussian noise with mean valuex(0) and covariance matrix Σ(0|0). For computational convenience, the state transition matrix A has been traditionally assumed to be diagonal in the dynamic state estimation algorithms of power systems [6].…”

Section: A System Model With Missing Rtu Measurementsmentioning

confidence: 99%

See 1 more Smart Citation

A Constrained Optimization Approach to Dynamic State Estimation for Power Systems Including PMU and Missing Measurements

Wang

Rahman

et al. 2015

IEEE Trans. Contr. Syst. Technol.

View full text Add to dashboard Cite

Abstract-In this paper, a hybrid filter algorithm is developed to deal with the state estimation problem for power systems by taking into account the impact from the phasor measurement units (PMU). Our aim is to include PMU measurements when designing the dynamic state estimators for power systems with traditional measurements. Also, as data dropouts inevitably occur in the transmission channels of traditional measurements from the meters to the control centre, the missing measurement phenomenon is also tackled in the state estimator design. In the framework of extended Kalman filter (EKF) algorithm, the PMU measurements are treated as inequality constraints on the states with the aid of the statistical criterion, and then the addressed state estimation problem becomes a constrained optimization one based on the probability-maximization method. The resulting constrained optimization problem is then solved by using the particle swarm optimization (PSO) algorithm together with the penalty function approach. The proposed algorithm is applied to estimate the states of the power systems with both traditional and PMU measurements in the presence of probabilistic data missing phenomenon. Extensive simulations are carried out on the IEEE 14-bus test system and it is shown that the proposed algorithm gives much improved estimation performances over the traditional EKF method.

show abstract

“…[12]. 3 Evaluative research of system development, just like any system operation evaluation, understood as use or renewal of the system, or the evaluation of the electrical power system work are natural consequence of identification research, and, following the verification of development model, evaluation of research results, obtained using the development model, is conducted. However, for the development-related problems, understood as structural and parametric changes of the SEE, and not as planning, forecasting, or programming the development, conducting appropriate evaluation experiments is connected with the need to generate many models of the SEE system development for specific periods of long time ǻș, e.g.…”

Section: Evaluation Of the See System Developmentmentioning

confidence: 99%

Model of electric power system from the point of view of safety

Tchórzewski

2011

2011 8th International Conference on the European Energy Market (EEM)

View full text Add to dashboard Cite

The paper contains selected research results related to discovery of regularities in the development of the system and the development of the electrical power system model (SEE) from the point of view of safety. Efficiency indexes were proposed based on data for the period of 1946-2007 of the SEE in Poland, a model of the system development was developed, and changes in the efficiency indexes of the system were determined. Results concerning evaluative research of the development efficiency and analysis results of development models were also presented, including estimation of efficiency margin of the SEE system development.

show abstract

Forecasting-Aided State Estimation—Part I: Panorama

Cited by 199 publications

References 55 publications

Distribution system state estimation-A step towards smart grid

Distribution system state estimation-A step towards smart grid

A Constrained Optimization Approach to Dynamic State Estimation for Power Systems Including PMU and Missing Measurements

Model of electric power system from the point of view of safety

Contact Info

Product

Resources

About