In Situ Calibration of Transmission System Power Grid Energy Meters Using Energy Measurements and Kalman Filter
2023 (English)In: IEEE Transactions on Power Delivery, ISSN 0885-8977, E-ISSN 1937-4208, Vol. 38, no 2, p. 988-997Article in journal (Refereed) Published
Abstract [en]
Correct energy measurement is vital for electric energy trading. There are often stringent legal demands on the revenue metering that require periodic in situ substation verification. Traditional energy metering testing methods are not possible in IEC 61850 digital stations using a process bus. In this article we will show that it is possible to use data analysis to verify the accuracy of energy measurement systems in substations. Our algorithms can be used as a part of the legal verification and runs remotely on-line. As a consequence, some of the periodic accuracy verification including substation visits can be abandoned. The on-line algorithms makes it possible to decrease the errors in both revenue metering systems and in other energy measurements systems in the Swedish transmission system. Measurement errors are now detected and amended much faster which reduces incorrect billing. The estimated value of incorrect billing is decreased by more than a million EUR annually. Our algorithms also provide a solution to bridge the problem to verify measurements in future fully digital substations.
Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2023. Vol. 38, no 2, p. 988-997
Keywords [en]
61850, algorithms, Energy measurement, Kalman filter, Kalman filters, measurement errors, Measurement uncertainty, Meters, monitoring, Power measurement, process bus, Substations, Electric power transmission, Electric power transmission networks, Electric substations, Phase measurement, Testing, Uncertainty analysis, Courtyard building, Energy measurement system, In-situ calibration, Power, Power grids, Substation, Transmission systems
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:ri:diva-60299DOI: 10.1109/TPWRD.2022.3203628Scopus ID: 2-s2.0-85137905624OAI: oai:DiVA.org:ri-60299DiVA, id: diva2:1702352
2022-10-102022-10-102023-07-06Bibliographically approved