On the parameter estimation and modeling of aggregate power system loads
2004 (English)In: IEEE Transactions on Power Systems, ISSN 0885-8950, Vol. 19, no 2, 1023-1031 p.Article in journal (Refereed) Published
This paper addressed some theoretical and practical issues relevant to the problem of Power system load modeling and identification. Two identification techniques are developed in the theoretical framework of stochastic system identification. The identification techniques presented in this paper belong to the family of output error models; both techniques are based on well-established equations describing load recovery mechanisms having a commonly recognized physical appeal. Numerical experiments with artificially created data were first performed on the proposed techniques and the estimates obtained proved to be asymptotically unbiased and achieved the corresponding Cramer-Rao lower bound. The proposed techniques were then tested using actual field measurements taken at a paper mill, and the corresponding results were used to validate a commonly used aggregate load model. The results reported in this paper indicate that the existing load models satisfactorily describe the actual behavior of the physical load and can be reliably estimated using the identification techniques presented herein.
Place, publisher, year, edition, pages
2004. Vol. 19, no 2, 1023-1031 p.
output error method, parameter estimation, power system load modeling, system identification, voltage stability, identification
Electrical Engineering, Electronic Engineering, Information Engineering
IdentifiersURN: urn:nbn:se:kth:diva-23396DOI: 10.1109/tpwrs.2003.821634ISI: 000221283300042ScopusID: 2-s2.0-2542618341OAI: oai:DiVA.org:kth-23396DiVA: diva2:342094
QC 20100525 QC 201111032010-08-102010-08-102012-01-13Bibliographically approved