Optimal Sizing and Siting of Soft Open Point for Improving the Three Phase Unbalance of the Distribution Network

Author(s):  
Hao Xiao ◽  
Wei Pei ◽  
Kong Li

2004 ◽  
Vol 32 (4) ◽  
pp. 421-433 ◽  
Author(s):  
R. RANJAN ◽  
B. VENKATESH ◽  
A. CHATURVEDI ◽  
D. DAS


2018 ◽  
Vol 231 ◽  
pp. 985-996 ◽  
Author(s):  
Jian Xu ◽  
Jing Wang ◽  
Siyang Liao ◽  
Yuanzhang Sun ◽  
Deping Ke ◽  
...  


Energies ◽  
2020 ◽  
Vol 13 (15) ◽  
pp. 3895
Author(s):  
Thomas Pidancier ◽  
Mokhtar Bozorg ◽  
Dominique Roggo ◽  
Patrick Favre-Perrod ◽  
Mauro Carpita

In this paper, a 15 kVA soft open point converter is presented. The converter design and manufacturing have been presented in previous papers. The aim of this paper was to show the results of the devices in a full-scale laboratory environment, Gridlab, made of four distribution LV feeders, each rated 40 A. The tests demonstrated the good dynamics of the SOP control and its usefulness in performing a suitable PQ control. They also showed an improvement in the voltage profile and in the load capacity of the overall network. In the final part of the paper, the feedback earned during the development and the test of this first prototype are presented. This feedback will benefit the team for the design of a new improved 50 kVA version.





2020 ◽  
Vol 143 ◽  
pp. 02039
Author(s):  
Dongqing Xie ◽  
Bing Li ◽  
Yang Ding ◽  
Daopeng Li ◽  
Guomin Fang ◽  
...  

For distribution systems where wind sources are poor, low-wind-speed wind turbines (LWTG) plays an important role in improving the security, economy and reliability of the system. However, the stochastic volatility of LWTG output and loads poses a challenge to the technology of distribution network reconfiguration. Considering the uncertainty of LWTG output, photovoltaic output and changes of load in multiple continuous periods, a dynamic robust reconfiguration model is established. The optimization target is to minimize the three-phase current unbalance and network loss. The model solving process combines the Latin hypercube sampling-based Monte Carlo method, the Semi-invariant method and the compound differential evolution algorithm. The influence of LWTG on the reconfiguration results is explored based on the modified IEEE34-node simulation system, and the performance of the proposed dynamic robust reconfiguration method is then verified.



2014 ◽  
Vol 484-485 ◽  
pp. 655-659
Author(s):  
Jing Wen Xu

In the planning and operation of distribution network, flow calculation and optimal flow is the hot issue for many experts and scholars to study. In network reconfiguration, service restoration and capacitor configuration, it needs hundreds even thousands times of power flow calculation. So it is very important to propose a suitable optimization algorithm. Based on the three-phase model we proposed hybrid particle swarm algorithm to calculate the three-phase power flow. The method uses the superposition principle. The distribution network is divided into two network models, one is the pure radial network without cyclic structure, and another is the pure cyclic network without radiation structure. We do iterative calculation respectively using hybrid particle algorithm, getting the calculation results. The hybrid algorithm is a new reference for the future optimization of power flow calculation in this paper.



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