Dynamic state estimation techniques for large-scale electric power systems. (English) Zbl 0743.93007
Analysis and control system techniques for electric power systems, Pt. 1, Control Dyn. Syst., Adv. Theory Appl. 41, 79-133 (1991).
[For the entire collection see Zbl 0727.00021.]
The traditional way to deal with large scale electric power systems is to use a static state estimator, which was initiated by Schweppe et al. The main difficulties with the dynamic state estimators are the dimensionality problems and the modelling problems. The paper focusses on how to overcome these. A decomposition-aggregation hierarchical scheme is used (§3.1) to circumvent the prohibitive high dimensionality trouble, and new state variables are introduced in the prediction step and a load- forecasting method is used (§3.2). The potential advantages are identified in §4.1-§4.3 together with an alternative pragmatic (mixed) approach explained (§4.4). Simulation results are carried out in §5, on a 118-bus power system.
The traditional way to deal with large scale electric power systems is to use a static state estimator, which was initiated by Schweppe et al. The main difficulties with the dynamic state estimators are the dimensionality problems and the modelling problems. The paper focusses on how to overcome these. A decomposition-aggregation hierarchical scheme is used (§3.1) to circumvent the prohibitive high dimensionality trouble, and new state variables are introduced in the prediction step and a load- forecasting method is used (§3.2). The potential advantages are identified in §4.1-§4.3 together with an alternative pragmatic (mixed) approach explained (§4.4). Simulation results are carried out in §5, on a 118-bus power system.
Reviewer: W.-Z.Yang (Taipei)
