Distribution System Reconfiguration for Voltage Profile Improvement using Enhanced Particle Swarm Optimization.

被引：0
作者：
Marino, Wilmer [1 ]
Munoz, Jorge [1 ]
Jaramillo, Manuel [1 ]
Barrera-Singana, Carlos [1 ]
Pavon, Wilson [1 ]
机构：
[1] Salesian Polytech Univ, Fac Elect Engn, Dept Elect Engn, Quito, Ecuador
来源：
2023 IEEE IAS GLOBAL CONFERENCE ON RENEWABLE ENERGY AND HYDROGEN TECHNOLOGIES, GLOBCONHT | 2023年
关键词：
Power distribution networks; objective function; voltage fluctuations; particle swarm optimization; power quality;
D O I：
10.1109/GLOBCONHT56829.2023.10087590
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
The distribution stage of electrical energy presents the greatest number of problems due to the constant change in the load, which is directly related to the end users, whether residential, commercial or industrial. Among the most common problems are voltage drops, presence of harmonics, overloads and power losses which are caused by poor configuration or design of the electrical network. In this work we propose to reconfigure the distribution network with the objective of reducing voltage drop levels and reducing power losses in each of the network sections. One of the algorithms proposed to meet this objective is the improved particle swarm optimization which seeks the optimal reconfiguration of the network taking into account various constraints to maintain power quality. DNR will be implemented in modified test models with the help of MATLAB's MATPOWER tool.
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页数：6
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