Distortion sources identification in power systems with capacitor banks

Author(s):  
Reyes S. Herrera ◽  
Patricio Salmeron ◽  
Salvador P. Litran
2021 ◽  
Vol 13 (20) ◽  
pp. 11134
Author(s):  
Elisa Peñalvo-López ◽  
Vicente León-Martínez ◽  
Joaquín Montañana-Romeu ◽  
Javier Cárcel-Carrasco

Compensation of reactive power is necessary in power systems due to economical, energetic, and environmental reasons. Reactive power increases energy power losses and carbon dioxide emissions in distribution lines and power transformers. However, capacitor banks used in most industrial applications do not significantly reduce energy losses in lines and transformers when supply voltages and loads are unbalanced and therefore do not fully improve the sustainability of distribution networks. This fact is explained in this paper using positive-, negative-, and zero-sequence reactive power components in three-phase, four-wire sinusoidal power systems supplied with unbalanced voltages. Likewise, several devices have also been developed for the compensation of the total reactive power and, specifically, for each of its components in these power systems. Comparing the effectiveness of these reactive compensators and other well-known passive compensators as capacitor banks on the sustainability improvement of the electrical installation of an actual industry, reductions between 20% and 100% in energy losses and carbon dioxide emissions, caused by circulation of reactive currents in transformer and lines, can be expected depending on the type of compensator used.


2021 ◽  
Vol 10 (2) ◽  
pp. 559-568
Author(s):  
Mehrdad Ahmadi Kamarposhti ◽  
Seyed Mohsen Mousavi Khormandichali ◽  
Ahmed Amin Ahmed Solyman

DG sources have been introduced as one of the most widely used and effective methods among various methods providing losses reduction in power systems. In this paper, the artificial bee colony algorithm has been employed with the aim of determining location and capacity of distributed generations (DGs) and capacitor banks (CBs) in distribution systems. The proposed objective function includes power losses and ENS reliability index, which is used by deploying weight coefficients as objective function in the algorithms. Accordingly, the standard 37-bus networks have been used for studies. The simulation results demonstrate that the artificial bee colony algorithm is more effective in all sections and has higher capability in reducing losses and improving reliability as well.


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