摘要
为减少牵引供电系统网络损耗,提高电能质量,合理利用牵引变压器容量。以多导体传输线模型为基础,综合考虑其牵引供电品质和对电力系统的影响,建立了以三相不平衡度为约束条件、一个列车运行周期下的牵引网最小电能损失模型。使用粒子群优化PSO算法对牵引变电所和分区所的位置进行寻优设计,通过找到合理的牵引供电臂长度,使得牵引网电能损失最小,并得到各种接线方式下牵引变压器容量。实例计算表明,该方法能有效减少牵引网网损,降低牵引变压器容量,提高公共连接点电能质量。
The objective of this paper is to reduce the network loss of traction power supply system, improve power qual- ity and reasonablely utilize the traction transformer capacity. Based on multi-conductor transmission line model, and comprehensively considering the traction power supply quality and its impact on the power system, a minimum traction network power loss model within one train operation cycle is derived with the three-phase unbalanced degree as con- straint. Particle swarm optimization (PSO)is used to optimize the locations of traction substation and section post. A rea- sonable arm length of traction power supply is obtained to make the traction network energy loss minimum. Moreover, the capacities of trcution transformer with different wirings are also obtained. Example calculation show that the method can effectively reduce the network loss of traction, reduce the traction transformer capacity and improve the power quali- ty at the common coupling point.
出处
《电力系统及其自动化学报》
CSCD
北大核心
2016年第11期104-110,共7页
Proceedings of the CSU-EPSA
关键词
牵引网模型
最小网损
变压器容量
粒子群优化PSO
traction network model
minimum net loss
transformer capacity
particle swarm optimization (PSO)