A constrained orthogonal state estimator for external system modeling

• Published in: International journal of electrical power & energy systems Vol. 22; no. 8; pp. 555 - 562
• Main Authors: SIMOES COSTA, A. J. A, GOUVEA, J. P. S
• Format: Journal Article
• Language: English
• Published: Oxford Elsevier Ltd 01.11.2000; Elsevier
• Subjects: Applied sciences; Constrained least-squares methods; Electrical engineering. Electrical power engineering; Electrical power engineering; Exact sciences and technology; External system modeling; Power networks and lines; Power system state estimation; Theory. Simulation; External system modeling; Constrained least-squares methods; Power system state estimation; Performance evaluation; Least squares problem; Control system; Interconnected power system; Iterative method; Numerical method; Jacobi matrix; Modeling; Implementation; Case study; Experimental result; Control center; Electrical network; Least squares method; Weight function; Inequality constraint; Equality constraint; Numerical simulation; Robustness; System buses; Numerical stability
• ISSN: 0142-0615; 1879-3517
• DOI: 10.1016/S0142-0615(00)00026-0

Attention is focussed on the application of constrained orthogonal state estimation to external system modeling. Inequality constraints enforce realistic limits on the estimates of External System (ES) variables that otherwise can become off bounds due to the limited ES monitoring capabilities at the Internal System control center. Equality constraints are used to model known zero bus injections in both systems. The use of orthogonal methods is advocated to ensure numerical stability, since the estimator has to handle a larger range of measurement weights than in conventional applications of state estimation. Tests to evaluate the performance of the proposed constrained estimator using three power networks of different sizes are also reported in the paper.