摘要
牵引供电系统的储能容量配置是一个复杂的非线性多目标优化问题。为实现在良好节能率和稳压率的前提下降低储能容量,提出一种改进秃鹰算法。首先,建立牵引供电系统的潮流仿真模型。然后,利用改进秃鹰算法对储能容量配置问题进行改造。最后,构建多目标函数并计算最优储能容量。算例分析证实,改进秃鹰算法不仅具备比传统遗传算法和秃鹰算法更好的收敛性和稳定性,而且在改进秃鹰算法的最优配置容量下牵引供电系统的综合性能表现更好。
The energy storage capacity configuration of a traction power supply system is a complex nonlinear multi-ob⁃jective optimization problem.To realize the reduction in energy storage capacity under the premise of good energy saving rate and voltage stabilization rate,an improved bald eagle search(BES)algorithm is proposed in this paper.First,a power flow simulation model of the traction power supply system is established.Then,the problem of energy storage capacity configuration is reconstructed using the improved BES algorithm.Furthermore,a multi-objective function is constructed,and the optimal energy storage capacity is calculated.The analysis results of an example confirm that the improved BES algorithm not only has better convergence and stability than the traditional genetic algorithm and BES al⁃gorithm,but also has a better overall performance of the traction power supply system under its optimal capacity config⁃uration.
作者
马兴
罗川川
刘锦洋
管勃
MA Xing;LUO Chuanchuan;LIU Jinyang;GUAN Bo(Electric Power Research Institute,State Grid Chongqing Electric Power Company,Chongqing 401121,China;School of Electrical Engineering,Chongqing University,Chongqing 400044,China)
出处
《电力系统及其自动化学报》
CSCD
北大核心
2024年第7期95-105,共11页
Proceedings of the CSU-EPSA
基金
国网重庆市电力公司科技项目(SGCQDK00DWJS2200217)
国家自然科学基金资助项目(52107178)。
关键词
储能容量
轨道交通
牵引供电系统
优化算法
energy storage capacity
rail transit
traction power supply system
optimization algorithm
