作者: S.-J. Huang , K.-R. Shih
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摘要: An algorithm that includes nonlinear measurement-function considerations is proposed. To enhance the robustness of method, exponential weight function was embedded and measurement integrated with state-estimation model. In this way, method can be employed in different scenarios while estimation performance maintained effectively. This approach has been tested on power systems under various operating conditions, where normal operation, bad measurement, sudden load change topology error are all investigated. The indices test cases were also evaluated. Test results support feasibility proposed for dynamic-state-estimation applications.