Assessment of electromagnetic compatibility indicators of industrial power supply systems with power system capacity limitations

Purpose. To investigate the indicators of non-sinusoidality and voltage asymmetry in the shop power supply system of industrial enterprises under the condition of technological limitations of the power system capacity. The methods. Modeling of non-sinusoidality indicators was performed using spectral analysis and Fourier transform methods. Asymmetrical modes were modeled assuming the use of voltage quality regulators (VQRs) using the provisions of the symmetrical components method. As an assumption level, it was assumed that electro-technological installations are equipped with power electronics devices for Smart-control of energy consumption modes. Findings. The harmful effect of higher harmonics and negative sequence currents on the energy efficiency of industrial power supply systems was analyzed. It is proven that the reduction of short-circuit power at the distribution points of balance accessories significantly worsens the electromagnetic compatibility of shop distribution networks with nonlinear and asymmetrical loads. The use of three-phase electrotechnological installations as voltage quality indicator regulators is proposed. The originality. The dependences of voltage asymmetry indicators on the parameters of the enterprise's power supply system have been established. This allows us to substantiate the concept of using active intelligent SNRs in island or abnormal operating modes of a centralized power system. Practical implementation. Data for calculating the values of voltage asymmetry coefficients for various combinations of symmetrical and asymmetrical loads have been obtained. The models include the parameters of typical power transformers and the possibility of changing the short-circuit power in wide ranges. A similar method of normalizing voltage quality indicators is important for the operation of industrial power supply systems in autonomous modes with generation from renewable energy sources and/or generators.