AN IMPROVED METHOD OF BUSBAR VOLTAGE RECONSTRUCTION FROM SIGNALS OF ELECTRIC FIELD SENSORS INSTALLED IN AN INDOOR MV SUBSTATION

作者：Borkowski Dariusz^*

来源：Metrology and Measurement Systems, 2018, 25(1): 71-86.

DOI：10.24425/118155

• voltage measurement
• signal reconstruction
• modelling
• parameters identification
• simulated annealing

This paper presents an improved method for the reconstruction of busbar voltage waveforms from signals acquired by a system of electric field (EF) sensors located in an indoor medium voltage substation. In the previous work [8], the authors proposed the use of black-box models in the form of artificial neural networks (ANNs) for this task. In this paper it is shown that a parametric model of the system of EF sensors can reconstruct voltages with much lower errors, provided that it is accurately identified. The model identification is done by minimization of a nonlinear goal function, i.e. mean squared error (MSE) of voltage reconstruction. As a result of examining several optimization techniques, the method based on simulated annealing extended with a simplex search, is proposed. The performance of the model identified with this method is at least 8 times better in terms of MSE and at least 12 times better in terms of frequency domain errors than the best one of concurrent ANNs.

• 出版日期2018