Abstract
The Lagrange multiplier-based method is an effective network parameter error identification method. However, two full matrices with high-dimensions are involved in the calculation procedure; these create huge computational burdens for large-scale power systems. To solve this problem, a fast solution is proposed in this paper, where special treatment techniques for full matrices are used to dramatically improve the calculation efficiency. A practical parameter error identification program has been developed and used in many electric power control centers. In this paper, the results for test systems and on-site applications are given, which show that the proposed approach is very efficient.
Highlights
Identifying network parameter errors is important because they can seriously diminish the accuracy of various kinds of power system analyses
The results of sensitivity factor-based parameter error identification (PEI) methods may be affected by artificial threshold values and random measurement errors
The second type of PEI methods is based on augmented state estimation (ASE) [10,11,12,13]
Summary
Identifying network parameter errors is important because they can seriously diminish the accuracy of various kinds of power system analyses. The suspicious parameter set is limited by the numerical condition problem and should be obtained before calculation This type of method is more appropriate for parameter estimation (PE) rather than PEI. The recently proposed Lagrange multiplier (LM)-based method [14,15,16] is an effective PEI approach, but two high-dimension full matrices are involved during its calculation procedure. This represents a very heavy computational burden and requires huge memory. It is well known that network parameter error identifications should use multiple measurement scans to increase accuracy; the iterative usage of the LM-based PEI method requires a faster calculation speed, even for off-line applications. Extensive numerical tests on test systems and practical systems have been done to verify the performance of the developed PEI program
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
