A wavelet-based power management system is proposed in this paper with a combination of the battery and ultracapacitor(UC)hybrid energy storage system(HESS).The wavelet filter serves as a frequency-based filter for di...A wavelet-based power management system is proposed in this paper with a combination of the battery and ultracapacitor(UC)hybrid energy storage system(HESS).The wavelet filter serves as a frequency-based filter for distributing the power between the battery and UC.In order to determine the optimal level of wavelet decomposition as well as the optimal activation power of the wavelet controller,an optimization procedure is established.The proposed frequency-based power management system moderates the usage of battery current,consequently improving its lifetime.Compared with the conventional threshold-based power management systems,the proposed system has the advantage of enhanced battery and UC power management.A LiFePO4 battery is considered and its life loss is modeled.As a case study,an electric motorcycle is evaluated in the federal test procedure(FTP)driving cycle.Compared with a conventional energy storage system(ESS)and a state of available power(SoP)management systems,the results show an improvement for the battery lifetime by 115%and 3%,respectively.The number of battery replacements is increased,and the energy recovery is improved.The 10-year overall costs of the proposed HESS strategy using wavelet are1500 dollars lower,compared with the ESS.展开更多
针对平抑风光储联合发电系统输出功率波动问题,提出一种具有变权值自适应滤波的风光储协调优化控制策略。在传统的加权移动滤波算法基础上,分析了储能出力、波动率以及滤波带宽的关系,以储能系统的荷电状态(state of charge,SOC)平衡度...针对平抑风光储联合发电系统输出功率波动问题,提出一种具有变权值自适应滤波的风光储协调优化控制策略。在传统的加权移动滤波算法基础上,分析了储能出力、波动率以及滤波带宽的关系,以储能系统的荷电状态(state of charge,SOC)平衡度指标和并网功率波动率作为约束条件实时调整加权移动滤波算法的权值与滤波带宽。在给定的波动率约束下,实现风光储联合发电系统协调优化控制。算例表明,所提出的变权值自适应滤波算法优于传统的一阶低通滤波风光功率平滑效果,在保证SOC合理水平前提下,有效平抑了风光联合输出功率的波动,降低了储能系统充放电次数,提高了储能系统的使用寿命。展开更多
绝热压缩空气储能(adiabatic compressed air energy storage,A-CAES)系统通常采用恒容储气的方式储存空气,导致空气不能完全从储气装置内释放,存在能量储存密度低、单位储气成本高的问题。为此提出了基于工质相变的变容储气A-CAES系统...绝热压缩空气储能(adiabatic compressed air energy storage,A-CAES)系统通常采用恒容储气的方式储存空气,导致空气不能完全从储气装置内释放,存在能量储存密度低、单位储气成本高的问题。为此提出了基于工质相变的变容储气A-CAES系统,通过借助外部工质的压力迫使空气完全从储气装置中释放。然而,采用变容储气的方式增加了储气装置复杂性和设备投资成本。因此,本文对基于工质CO_(2)相变的变容储气A-CAES系统进行了技术经济性分析,并与恒容储气A-CAES系统进行了对比。结果表明,基于工质相变的变容储气A-CAES系统的能量储存密度为28.30 MJ/m^(3),比恒容储气A-CAES系统的储能密度提高了83.65%。采用变容储气的方式可以使储气装置的单位储气成本从49.17元/kg降低至36.59元/kg。在整个系统运行周期内,基于工质相变的变容储气A-CAES系统的动态投资回收期和项目净现值分别为7.36 a和101427.85万元,比恒容储气A-CAES系统减少了1.45 a和增加了3831.74万元。基于工质相变的变容储气A-CAES系统具有较好的应用前景。展开更多
基金supported by the Automotive Engineering Research Center(AERC)of Iran University of Science and Technology(IUST)the Vehicle,Fuel and Environment Research Institute(VFERI)of The University of Tehran.
文摘A wavelet-based power management system is proposed in this paper with a combination of the battery and ultracapacitor(UC)hybrid energy storage system(HESS).The wavelet filter serves as a frequency-based filter for distributing the power between the battery and UC.In order to determine the optimal level of wavelet decomposition as well as the optimal activation power of the wavelet controller,an optimization procedure is established.The proposed frequency-based power management system moderates the usage of battery current,consequently improving its lifetime.Compared with the conventional threshold-based power management systems,the proposed system has the advantage of enhanced battery and UC power management.A LiFePO4 battery is considered and its life loss is modeled.As a case study,an electric motorcycle is evaluated in the federal test procedure(FTP)driving cycle.Compared with a conventional energy storage system(ESS)and a state of available power(SoP)management systems,the results show an improvement for the battery lifetime by 115%and 3%,respectively.The number of battery replacements is increased,and the energy recovery is improved.The 10-year overall costs of the proposed HESS strategy using wavelet are1500 dollars lower,compared with the ESS.
文摘针对平抑风光储联合发电系统输出功率波动问题,提出一种具有变权值自适应滤波的风光储协调优化控制策略。在传统的加权移动滤波算法基础上,分析了储能出力、波动率以及滤波带宽的关系,以储能系统的荷电状态(state of charge,SOC)平衡度指标和并网功率波动率作为约束条件实时调整加权移动滤波算法的权值与滤波带宽。在给定的波动率约束下,实现风光储联合发电系统协调优化控制。算例表明,所提出的变权值自适应滤波算法优于传统的一阶低通滤波风光功率平滑效果,在保证SOC合理水平前提下,有效平抑了风光联合输出功率的波动,降低了储能系统充放电次数,提高了储能系统的使用寿命。
文摘绝热压缩空气储能(adiabatic compressed air energy storage,A-CAES)系统通常采用恒容储气的方式储存空气,导致空气不能完全从储气装置内释放,存在能量储存密度低、单位储气成本高的问题。为此提出了基于工质相变的变容储气A-CAES系统,通过借助外部工质的压力迫使空气完全从储气装置中释放。然而,采用变容储气的方式增加了储气装置复杂性和设备投资成本。因此,本文对基于工质CO_(2)相变的变容储气A-CAES系统进行了技术经济性分析,并与恒容储气A-CAES系统进行了对比。结果表明,基于工质相变的变容储气A-CAES系统的能量储存密度为28.30 MJ/m^(3),比恒容储气A-CAES系统的储能密度提高了83.65%。采用变容储气的方式可以使储气装置的单位储气成本从49.17元/kg降低至36.59元/kg。在整个系统运行周期内,基于工质相变的变容储气A-CAES系统的动态投资回收期和项目净现值分别为7.36 a和101427.85万元,比恒容储气A-CAES系统减少了1.45 a和增加了3831.74万元。基于工质相变的变容储气A-CAES系统具有较好的应用前景。
