Author, Institution: Vytautas Daunoras, Kaunas University of Technology
Science area, field of science: Technological Sciences, Electrical and Electronics Engineering, T001
Scientific Supervisor: Prof. Dr. Živinas Nakutis (Kaunas University of Technology, Technological Sciences, Electrical and Electronics Engineering, T001)
Scientific Advisor: Prof. Dr. Robertas Lukočius (Kaunas University of Technology, Technological Sciences, Electrical and Electronics Engineering, T001)
Dissertation Defence Board of Electrical and Electronics Engineering Field:
Prof. Dr. Dangirutis Navikas (Kaunas University of Technology, Technological Sciences, Electrical and Electronic Engineering, T001) – chairman
Prof. Dr. Darius Plonis (Vilnius Gediminas Technical University, Technological Sciences, Electrical and Electronic Engineering, T001)
Assoc. Prof. Dr. Reimondas Šliteris (Kaunas University of Technology, Technological Sciences, Electrical and Electronic Engineering, T001)
Prof. Dr. Stefano Rinaldi (University of Brescia, Italy, Technological Sciences, Electrical and Electronic Engineering, T001)
Prof. Dr. Darius Viržonis (Kaunas University of Technology, Technological Sciences, Electrical and Electronic Engineering, T001)
The dissertation defence takes place online.
The doctoral dissertation is available at the library of Kaunas University of Technology (K. Donelaičio g. 20, Kaunas).
Annotation:
A new remote method for monitoring the errors of electricity metering devices in low-voltage electricity distribution networks is presented in this dissertation. The developed method is based on the comparison of the active power readings of the meter under test with the synchronized remoted reference measuring instrument. The method makes it possible to remotely estimate the errors of the electricity meters and the value of the adjustment gain, which can be used to adjust the power readings of the meter under test without interrupting the power supply to the consumer. In the case of implementation of the developed method, the expected value will mean better protection of the economic interests of both the electricity consumers and suppliers. The developed method is not intended to replace the existing metrological verification procedures provided for in the national legislation; however, it does allow the verification of the condition of each electricity meter at intervals between metrological inspection, and its results can be used to identify individual meters whose metrological characteristics do not meet the requirements of relevant standards. Mathematical modeling was used to establish the limits of systematic measurement errors in a typical low-voltage electricity distribution network. The research of random method errors due to power fluctuations was performed using synthesized power profiles. An experimental system implementing the method has been developed, which has been used for experimental verification of the method in typical low-voltage distribution networks. Using the results of modeling and experimental research, and analytical models, the uncertainty in determining the adjustment gain was estimated. The dissertation also presents an analysis of the possibilities of using the method in the fields of legal and industrial metrology.
