Optimal capacitor placement and sizing for enhancement of distribution system reliability and power quality using PSO

Author(s):  
Pravin Machhindra Sonwane ◽  
Bansidhar Eknath Kushare
2021 ◽  
Vol 34 (4) ◽  
pp. 589-603
Author(s):  
Ahmad Alsakati ◽  
Chockalingam Vaithilingam ◽  
Kameswara Prakash ◽  
Reynato Gamboa ◽  
Arthanari Jagadeeshwaran ◽  
...  

Due to increased load demand, the power system developers are encouraged to meet power quality requirements. Using harmonic filter and capacitor bank is one of the essential solutions in mitigating power quality issues. This research aims to mitigate harmonics and improve the voltage in distribution systems by using ETAP. For this purpose, a distribution system in Homs city is considered, which is a part of Syrian power system. The capacitor banks are designed using numerical analysis and Optimal Capacitor Placement (OCP). The results indicate that this approach enhances the voltage profile, which is reflected in some buses. The voltage profile is effectively improved on several buses, and power losses are significantly reduced. The Total Harmonic Distortions (THDs) and Individual Harmonic Distortions (IHDs) of the subjected buses are reduced. Moreover, the power factor is improved from 0.877 to 0.926 for the studied system.


2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
Author(s):  
Hao Zhang ◽  
Liyu Zhu ◽  
Shensi Xu

Under the increasingly uncertain economic environment, the research on the reliability of urban distribution system has great practical significance for the integration of logistics and supply chain resources. This paper summarizes the factors that affect the city logistics distribution system. Starting from the research of factors that influence the reliability of city distribution system, further construction of city distribution system reliability influence model is built based on Bayesian networks. The complex problem is simplified by using the sub-Bayesian network, and an example is analyzed. In the calculation process, we combined the traditional Bayesian algorithm and the Expectation Maximization (EM) algorithm, which made the Bayesian model able to lay a more accurate foundation. The results show that the Bayesian network can accurately reflect the dynamic relationship among the factors affecting the reliability of urban distribution system. Moreover, by changing the prior probability of the node of the cause, the correlation degree between the variables that affect the successful distribution can be calculated. The results have significant practical significance on improving the quality of distribution, the level of distribution, and the efficiency of enterprises.


2012 ◽  
Vol 3 (4) ◽  
pp. 2048-2055 ◽  
Author(s):  
Armando M. Leite da Silva ◽  
Luiz C. Nascimento ◽  
Mauro Augusto da Rosa ◽  
Diego Issicaba ◽  
João A. Peças Lopes

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