Abstract
Improved accuracy and efficiency at detection of industrial measuring system failures are required to have relevant data of power amounts distributed between departments and process units. This challenge is especially relevant at power exchange between iron and steel works with auxiliary power station and the general power system. Main inputs for mutual settlements are supplied by electric meters installed near the boundaries delimiting power balance sheet participants. Thus, automated control of their technical condition is required at emerging market of power resources. The authors use the example of PJSC Magnitogorsk Iron and Steel Works to demonstrate that one of the causes of ineffective control of metering systems is the lack of available engineering procedures providing timely revealing a certain source of corrupted metering data. Based on the analysis of diagrams of power consumption of plant network nodes, the troubleshooting procedure based on power imbalance assessment is substantiated. The authors propose a formalized assessment of power imbalances using empiric distribution criteria: average standard deviation and coefficient of pair correlation between imbalance and loads of all substation connections. Specific diagrams of power imbalance are also analyzed. The paper provides analytical dependencies for calculation of empiric criteria. It gives an example of electric meter condition control at connections of the 10 kV section of the iron and steel works substation. The authors consider results of identification of common faults of metering systems installed at wiring points of power stations and substations of PJSC Magnitogorsk Iron and Steel Works.
Keywords
Iron and steel works, power consumption, metering systems, technical condition, power imbalance, control, methods, empiric criteria, failures, faults, identification, use.
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