拖拉机重载作业模式下负载峰值功率和高频功率存在较大随机性,单一电源方案无法有效匹配电动拖拉机负载特性。通过分析拖拉机工况负载势变量功率谱密度和电源放电特性,基于电动拖拉机通过主、辅电源对低、高频功率分流的观点,设计了采用...拖拉机重载作业模式下负载峰值功率和高频功率存在较大随机性,单一电源方案无法有效匹配电动拖拉机负载特性。通过分析拖拉机工况负载势变量功率谱密度和电源放电特性,基于电动拖拉机通过主、辅电源对低、高频功率分流的观点,设计了采用DC-DC转换器并联超级电容器的18.5 k W电动拖拉机复合电源方案,计算了系统参数。以平衡峰值功率和高频载荷控制超级电容器功率流方向为目标,设计了基于逻辑门的双DC-DC模式控制策略。根据负载时频分析需求,构建了基于Haar小波的双通道滤波器组,设计了功率分配控制器。以标准正态分布白噪声为基波,构造拖拉机犁耕、旋耕载荷波动间的互谱函数,建立了负载模拟模块。采用CRUISE/Simulink API动态联合仿真得出:基于功率分配控制的能量管理策略能够将动力电池电功率抑制在载荷波动基频附近,犁耕作业和旋耕作业下其电功率的截止频率分别为2、7 Hz,幅值符合正偏态分布;超级电容器平衡高频载荷,其电功率符合标准正态分布。展开更多
There is a general concern that the increasing penetration of electric vehicles(EVs)will result in higher aging failure probability of equipment and reduced network reliability.The electricity costs may also increase,...There is a general concern that the increasing penetration of electric vehicles(EVs)will result in higher aging failure probability of equipment and reduced network reliability.The electricity costs may also increase,due to the exacerbation of peak load led by uncontrolled EV charging.This paper proposes a linear optimization model for the assessment of the benefits of EV smart charging on both network reliability improvement and electricity cost reduction.The objective of the proposed model is the cost minimization,including the loss of load,repair costs due to aging failures,and EV charging expenses.The proposed model incorporates a piecewise linear model representation for the failure probability distributions and utilizes a machine learning approach to represent the EV charging load.Considering two different test systems(a 5-bus network and the IEEE 33-bus network),this paper compares aging failure probabilities,service unavailability,expected energy not supplied,and total costs in various scenarios with and without the implementation of EV smart charging.展开更多
文摘拖拉机重载作业模式下负载峰值功率和高频功率存在较大随机性,单一电源方案无法有效匹配电动拖拉机负载特性。通过分析拖拉机工况负载势变量功率谱密度和电源放电特性,基于电动拖拉机通过主、辅电源对低、高频功率分流的观点,设计了采用DC-DC转换器并联超级电容器的18.5 k W电动拖拉机复合电源方案,计算了系统参数。以平衡峰值功率和高频载荷控制超级电容器功率流方向为目标,设计了基于逻辑门的双DC-DC模式控制策略。根据负载时频分析需求,构建了基于Haar小波的双通道滤波器组,设计了功率分配控制器。以标准正态分布白噪声为基波,构造拖拉机犁耕、旋耕载荷波动间的互谱函数,建立了负载模拟模块。采用CRUISE/Simulink API动态联合仿真得出:基于功率分配控制的能量管理策略能够将动力电池电功率抑制在载荷波动基频附近,犁耕作业和旋耕作业下其电功率的截止频率分别为2、7 Hz,幅值符合正偏态分布;超级电容器平衡高频载荷,其电功率符合标准正态分布。
文摘There is a general concern that the increasing penetration of electric vehicles(EVs)will result in higher aging failure probability of equipment and reduced network reliability.The electricity costs may also increase,due to the exacerbation of peak load led by uncontrolled EV charging.This paper proposes a linear optimization model for the assessment of the benefits of EV smart charging on both network reliability improvement and electricity cost reduction.The objective of the proposed model is the cost minimization,including the loss of load,repair costs due to aging failures,and EV charging expenses.The proposed model incorporates a piecewise linear model representation for the failure probability distributions and utilizes a machine learning approach to represent the EV charging load.Considering two different test systems(a 5-bus network and the IEEE 33-bus network),this paper compares aging failure probabilities,service unavailability,expected energy not supplied,and total costs in various scenarios with and without the implementation of EV smart charging.
