针对高渗透率分布式新能源接入低压配电网中引起局部节点电压偏高的问题,提出考虑空调群虚拟储能的配电网电压无功优化控制模型。首先基于楼宇蓄热特性对电热虚拟储能进行建模,该模型以配电网日运行成本、电压偏差最小为目标函数,采用...针对高渗透率分布式新能源接入低压配电网中引起局部节点电压偏高的问题,提出考虑空调群虚拟储能的配电网电压无功优化控制模型。首先基于楼宇蓄热特性对电热虚拟储能进行建模,该模型以配电网日运行成本、电压偏差最小为目标函数,采用多目标模糊规划模型,合理控制配电网中分布式能源、储能电池、静止无功补偿装置(static var generator,SVG)和上级电网的输出功率。最后以南方夏季系统运行场景为例,对控制系统进行仿真实验。通过IEEE 33节点系统仿真验证,结果表明:考虑虚拟储能的低压配电网系统在保证建筑内人体舒适度的同时对于维持电压稳定性具有良好的效果,并削减了储能电池充放电次数与深度,降低了配电网的日运行成本。展开更多
Comb-like acrylic acid poly(ethylene glycol) methyl ether ester (MPEGA)-co-acrylamide (AM) copolymer [P(MPEGA-co-AM)] as novel phase change materials (PCMs) was successfully synthesized via free-radical wate...Comb-like acrylic acid poly(ethylene glycol) methyl ether ester (MPEGA)-co-acrylamide (AM) copolymer [P(MPEGA-co-AM)] as novel phase change materials (PCMs) was successfully synthesized via free-radical water solution polymerization. The structures of P(MPEGA-co-AM) was characterized by Fourier Transform Infrared (FT-lR). The experimental results showed that P(MPEGA-co-AM) copolymer possessed high molecular weight (Mo =66 kg/mol), narrow molecular weight distribution (PDI≈1.14). The phase transition temperature of copolymer decreases to 31℃, which is very much appreciated and urgently needed for smart PCM related to human body. Moreover, P(MPEGA-co-AM) had good thermal stability even at 380℃.展开更多
文摘针对高渗透率分布式新能源接入低压配电网中引起局部节点电压偏高的问题,提出考虑空调群虚拟储能的配电网电压无功优化控制模型。首先基于楼宇蓄热特性对电热虚拟储能进行建模,该模型以配电网日运行成本、电压偏差最小为目标函数,采用多目标模糊规划模型,合理控制配电网中分布式能源、储能电池、静止无功补偿装置(static var generator,SVG)和上级电网的输出功率。最后以南方夏季系统运行场景为例,对控制系统进行仿真实验。通过IEEE 33节点系统仿真验证,结果表明:考虑虚拟储能的低压配电网系统在保证建筑内人体舒适度的同时对于维持电压稳定性具有良好的效果,并削减了储能电池充放电次数与深度,降低了配电网的日运行成本。
文摘Comb-like acrylic acid poly(ethylene glycol) methyl ether ester (MPEGA)-co-acrylamide (AM) copolymer [P(MPEGA-co-AM)] as novel phase change materials (PCMs) was successfully synthesized via free-radical water solution polymerization. The structures of P(MPEGA-co-AM) was characterized by Fourier Transform Infrared (FT-lR). The experimental results showed that P(MPEGA-co-AM) copolymer possessed high molecular weight (Mo =66 kg/mol), narrow molecular weight distribution (PDI≈1.14). The phase transition temperature of copolymer decreases to 31℃, which is very much appreciated and urgently needed for smart PCM related to human body. Moreover, P(MPEGA-co-AM) had good thermal stability even at 380℃.