scholarly journals Application Analysis on the Power Distribution Network Three-phase Power Flow Based on Hybrid Particle Swarm Algorithm

Author(s):  
Yijun Wang
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.


Author(s):  
Yashar Mousavi ◽  
Mohammad Hosein Atazadegan ◽  
Arash Mousavi

Optimization of power distribution system reconfiguration is addressed as a multi-objective problem, which considers the system losses along with other objectives, and provides a viable solution for improvement of technical and economic aspects of distribution systems. A multi-objective chaotic fractional particle swarm optimization customized for power distribution network reconfiguration has been applied to reduce active power loss, improve the voltage profile, and increase the load balance in the system through deterministic and stochastic structures. In order to consider the prediction error of active and reactive loads in the network, it is assumed that the load behaviour follows the normal distribution function. An attempt is made to consider the load forecasting error on the network to reach the optimal point for the network in accordance with the reality. The efficiency and feasibility of the proposed method is studied through standard IEEE 33-bus and 69-bus systems. In comparison with other methods, the proposed method demonstrated superior performance by reducing the voltage deviation and power losses. It also achieved better load balancing.


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