Power Distribution Network Planning Application Based on Multi-Objective Binary Particle Swarm Optimization Algorithm
Power distribution networks are the most susceptible sector of the whole electric grid in terms of reliability.Failures along the lines cause the disconnection of a great number of customers what have an immediate impact on quality and security indices.Innovations capable to mitigate impacts or improve reliability are ever pursued by the elec tric utilities.In view of that, the planning of the modern distribution networks must consider the installation of switches along the network as an important procedure to isolate failures reducing the impact and the number of customers not supplied.However, the complexity and the dimension of the current distribution networks, makes the task of proper allocation of switches strongly dependent on the expertise of engineers.This paper proposes an application based on a Multi-Objective Particle Swarm Optimization algorithm that determines the suitable placement and a feasible number of switches on the power distribution networks in order to minimize the number of customers affected by faults.Detailed information about the algorithm and its application in a test distribution system is presented.The effectiveness of the algorithm is presented in a case study applied to the IEEE 123-Node Test Feeder.
José Roberto Bezerra Giovanni Cordeiro Barroso Ruth Past(o)ra Saraiva Len(a)o Raimundo Furtado Eudes Barbosa de Medeiros
Instituto Federal do Ceará, Brazil Universidade Federal do Ceará, Brazil Companhia Energética do Ceará, Brazil
国际会议
4th international Conference,ICSI2013(第4届群体智能国际会议)
哈尔滨
英文
258-267
2013-06-12（万方平台首次上网日期，不代表论文的发表时间）