To satisfy the requirements of high energy density,high power density,quick response and long lifespan for energy storage systems(ESSs),hybrid energy storage systems(HESSs)have been investigated for their complementar...To satisfy the requirements of high energy density,high power density,quick response and long lifespan for energy storage systems(ESSs),hybrid energy storage systems(HESSs)have been investigated for their complementary characteristics of‘high energy density components’and‘high power density components’.To optimize HESS combinations,related indices such as annual cost,fluctuation smoothing ability as well as safety and environmental impact have to be evaluated.The multiattribute utility method investigated in this paper is aimed to draw an overall conclusion for HESS allocation optimization in microgrid.Building on multi-attribute utility theory,this method has significant advantages in solving the incommensurability and contradiction among multiple attributes.Instead of determining the weights of various attributes subjectively,when adopting the multi-attribute utility method,the characteristics of attributes and the relation among them can be investigated objectively.Also,the proper utility function and merging rules are identified to achieve the aggregate utility which can reflect comprehensive qualities of HESSs.展开更多
考虑能量型储能和功率型储能的互补性,以混合储能系统(hybrid energy storage system,HESS)的投资运行成本及电能交易成本之和最小为目标函数,提出一种基于离散傅里叶变换(discrete Fourier transform,DFT)的主动配电网(active distribu...考虑能量型储能和功率型储能的互补性,以混合储能系统(hybrid energy storage system,HESS)的投资运行成本及电能交易成本之和最小为目标函数,提出一种基于离散傅里叶变换(discrete Fourier transform,DFT)的主动配电网(active distribution network,ADN)混合储能容量优化配置模型。该模型采用离散傅里叶变换将混合储能系统功率分解成低频分量和高频分量,分别由能量型储能和功率型储能承担,优化分配混合储能系统功率。计及充放电状态对能量型储能寿命损耗的影响,计算能量型储能的充放电深度和寿命损耗,测算其使用寿命,进而计算投资运行成本。同时,考虑市场环境中的分时电价和电能交易,优化混合储能系统充放电功率,减少能量型储能寿命损耗。以改进IEEE 14节点配电网为例,利用我国华南地区某电网夏季典型日运行数据验证所提出模型的合理性和有效性。展开更多
为了充分发挥混合储能系统(hybrid energy storage system,HESS)在微电网中的应用优势,提高微电网运行的经济性和可靠性,提出了HESS的小波包-模糊控制策略。在平抑可再生能源输出功率波动的基础上,分别考虑并网时功率交换的实时电价和...为了充分发挥混合储能系统(hybrid energy storage system,HESS)在微电网中的应用优势,提高微电网运行的经济性和可靠性,提出了HESS的小波包-模糊控制策略。在平抑可再生能源输出功率波动的基础上,分别考虑并网时功率交换的实时电价和孤岛运行时的缺电量,建立起并网经济性评价指标和孤岛负荷缺电指标。对间歇性微电源进行小波包分解以获得HESS的初始充放电指令,由超级电容器承担网内瞬时功率波动的平抑任务,以网内不平衡功率对蓄电池充放电指令进行修正,再通过模糊控制获得蓄电池充放电的最终指令。最后,以风光燃储微电网为例验证了所提控制策略的有效性。展开更多
By using high-power and high-efficiency propulsion systems,current hybrid electric vehicles（HEVs） in market can achieve excellent fuel economy and kinetic performance.However,it is the cost of current HEVs that hind...By using high-power and high-efficiency propulsion systems,current hybrid electric vehicles（HEVs） in market can achieve excellent fuel economy and kinetic performance.However,it is the cost of current HEVs that hinders HEVs coming into widespread use.A novel hybrid electric propulsion system is designed to balance HEV cost and performance for developing markets.A battery/supercapacitor-based hybrid energy storage system（HESS） is used to improve energy conversion efficiency and reduce battery size and cost.An all-in-one-controller（AIOC） which integrates engine electronic control unit（ECU）,motor ECU,and HESS management system is developed to save materials and energy,and reduce the influence of distribution parameters on circuit.As for the powertrain configuration,four schemes are presented：belt-driven starter generator（BSG） scheme,four-wheel drive HEV scheme,full HEV scheme,and ranger-extender electric vehicle（EV） scheme.Component selection and parameter matching for the propulsion system are performed,and an energy management strategy is developed based on powertrain configuration and selected components.Forward-facing simulation models are built,comprehending the control strategy based on the optimal engine torque for the low-cost hybrid electric propulsion system.Co-simulation of AVL CRUISE and Matlab/Simulink is presented and the best scheme is selected.The simulation results indicate that,for the best design,fuel consumption in urban driving condition is 4.11 L/（100 km） and 0-50 km/h accelerating time is 10.95 s.The proposed research can realize low-cost concept for HEV while achieving satisfactory fuel economy and kinetic performance,and help to improve commercialization of HEVs.展开更多
基金国家自然科学基金重点项目(50837001)国家重点基础研究发展计划(973项目)(2009CB219702)+3 种基金国家863高技术基金项目(2011AA05A107)Project Supported by National Natural Science Foundation of China(50837001)The National Basic Research Program of China(973 Program)(2009CB219702)The National High Technology Research and Development of China 863 Program(2011AA05A107)
基金supported by Science and Technology Foundation of State Grid Corporation of China (No.520940120036)the Key Project of the National Twelfth-Five Year Research Programme of China (No.2013BAA01B04)
文摘To satisfy the requirements of high energy density,high power density,quick response and long lifespan for energy storage systems(ESSs),hybrid energy storage systems(HESSs)have been investigated for their complementary characteristics of‘high energy density components’and‘high power density components’.To optimize HESS combinations,related indices such as annual cost,fluctuation smoothing ability as well as safety and environmental impact have to be evaluated.The multiattribute utility method investigated in this paper is aimed to draw an overall conclusion for HESS allocation optimization in microgrid.Building on multi-attribute utility theory,this method has significant advantages in solving the incommensurability and contradiction among multiple attributes.Instead of determining the weights of various attributes subjectively,when adopting the multi-attribute utility method,the characteristics of attributes and the relation among them can be investigated objectively.Also,the proper utility function and merging rules are identified to achieve the aggregate utility which can reflect comprehensive qualities of HESSs.
文摘考虑能量型储能和功率型储能的互补性,以混合储能系统(hybrid energy storage system,HESS)的投资运行成本及电能交易成本之和最小为目标函数,提出一种基于离散傅里叶变换(discrete Fourier transform,DFT)的主动配电网(active distribution network,ADN)混合储能容量优化配置模型。该模型采用离散傅里叶变换将混合储能系统功率分解成低频分量和高频分量,分别由能量型储能和功率型储能承担,优化分配混合储能系统功率。计及充放电状态对能量型储能寿命损耗的影响,计算能量型储能的充放电深度和寿命损耗,测算其使用寿命,进而计算投资运行成本。同时,考虑市场环境中的分时电价和电能交易,优化混合储能系统充放电功率,减少能量型储能寿命损耗。以改进IEEE 14节点配电网为例,利用我国华南地区某电网夏季典型日运行数据验证所提出模型的合理性和有效性。
文摘为了充分发挥混合储能系统(hybrid energy storage system,HESS)在微电网中的应用优势,提高微电网运行的经济性和可靠性,提出了HESS的小波包-模糊控制策略。在平抑可再生能源输出功率波动的基础上,分别考虑并网时功率交换的实时电价和孤岛运行时的缺电量,建立起并网经济性评价指标和孤岛负荷缺电指标。对间歇性微电源进行小波包分解以获得HESS的初始充放电指令,由超级电容器承担网内瞬时功率波动的平抑任务,以网内不平衡功率对蓄电池充放电指令进行修正,再通过模糊控制获得蓄电池充放电的最终指令。最后,以风光燃储微电网为例验证了所提控制策略的有效性。
基金supported by General Motors (Low-cost Hybrid Electric Propulsion System)
文摘By using high-power and high-efficiency propulsion systems,current hybrid electric vehicles（HEVs） in market can achieve excellent fuel economy and kinetic performance.However,it is the cost of current HEVs that hinders HEVs coming into widespread use.A novel hybrid electric propulsion system is designed to balance HEV cost and performance for developing markets.A battery/supercapacitor-based hybrid energy storage system（HESS） is used to improve energy conversion efficiency and reduce battery size and cost.An all-in-one-controller（AIOC） which integrates engine electronic control unit（ECU）,motor ECU,and HESS management system is developed to save materials and energy,and reduce the influence of distribution parameters on circuit.As for the powertrain configuration,four schemes are presented：belt-driven starter generator（BSG） scheme,four-wheel drive HEV scheme,full HEV scheme,and ranger-extender electric vehicle（EV） scheme.Component selection and parameter matching for the propulsion system are performed,and an energy management strategy is developed based on powertrain configuration and selected components.Forward-facing simulation models are built,comprehending the control strategy based on the optimal engine torque for the low-cost hybrid electric propulsion system.Co-simulation of AVL CRUISE and Matlab/Simulink is presented and the best scheme is selected.The simulation results indicate that,for the best design,fuel consumption in urban driving condition is 4.11 L/（100 km） and 0-50 km/h accelerating time is 10.95 s.The proposed research can realize low-cost concept for HEV while achieving satisfactory fuel economy and kinetic performance,and help to improve commercialization of HEVs.
