基于小波包分解的城市轨道交通混合储能容量优化配置研究
Research on Optimal Allocation of Hybrid Energy Storage Capacity of Urban Rail Transit Based on Wavelet Packet Decomposition1
刘仕兵 1武沛池 1喻星 1但业光1
作者信息
- 1. 华东交通大学电气与自动化工程学院,南昌 330013
- 折叠
摘要
受风速和光照强度等方面影响,风光发电具有随机性、间歇性、波动较大等特点,其直接并网会对电网造成损害.为实现风电平滑并网并对城市轨道交通系统进行安全可靠供电,提出1种由超级电容/锂电池组成的混合储能系统进行平抑.由于城市轨道交通牵引负荷也具有较大波动,混合储能系统在对风、光出力平抑的同时也对牵引负荷进行了平抑.首先,采用小波包分解技术对牵引负荷与风、光输出功率信号进行多尺度分解与重构得到低频风、光并网功率和中高频分量,使用电池与超级电容分别吸收中频与高频分量.然后,以混合储能系统最小综合成本为目标,混合储能系统荷电状态、功率限制等为约束条件.采用增加收缩因子的差分进化粒子群优化算法进行优化求解,实现混合储能系统年综合成本最小化和内部功率容量配置优化方案.最后,基于某地当日风电、光伏功率数据为例进行分析,结果表明所提方法能够有效抑制风电功率波动,可有效为城市轨道交通进行供电.
Abstract
Affected by factors such as wind speed and light intensity,wind power generation has characteristics of randomness,intermittence and large fluctuation,so its direct grid connection will cause damage to power grid.To realize a smooth grid connection of wind power and provide safe and reliable power supply to an urban rail transit system,a hybrid energy storage system composed of super capacitors and lithium batteries is proposed as a stabilizing measure.As the traction load of urban rail transit also fluctuates greatly,the hybrid energy storage system not only stabilizes the output of wind and photovoltaic(PV),but also stabilizes the traction load.The wavelet packet decomposition technology is used to decompose and reconstruct the traction load and wind and PV output power signals on multiple scales,the low-frequency wind and PV grid-connected power and medium-and high-frequency components are obtained,and batteries and super capacitors are used to absorb the medium-and high-frequency components,respectively.Aimed at the minimum comprehensive cost of hybrid energy storage system,the state-of-charge and power limit of the hybrid energy storage system are taken as constraints.The differential evolution particle swarm optimization algorithm with shrinkage factor is used to minimize the annual comprehensive cost of the hybrid energy storage system and optimize the internal power capacity allocation.Finally,based on the wind and PV power data in one region,the analysis results show that the proposed method can effectively suppress the wind power fluctuation and supply power for urban rail transit.
关键词
城市轨道交通/混合储能系统/小波包分解/差分进化粒子群优化Key words
Urban rail transit/hybrid energy storage system/wavelet packet decomposition/differential evolution particle swarm optimization引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据