XiaoMi-AI文件搜索系统
World File Search System功率调节
储能型铁路功率调节器分层补偿优化策略
摘要：针对电气化铁路负序治理及再生制动能量利用问题，提出了一种基于铁路功率调节器的考虑储能系统潮流的分层补偿优化策略。介绍了储能式铁路功率调节器的拓扑结构，分析了其负序补偿及再生制动能量利用机理。考虑储能系统设备容量和潮流对铁路功率调节器补偿效果的影响，构建了储能式铁路功率调节器分层补偿优化的目标函数和约束条件，并采用序列二次规划法进行求解。通过多条件仿真试验验证了所提策略的可行性。结果表明，所提出的优化补偿策略在系统设备容量受限的情况下，能够实现负序补偿和再生制动能量利用，提高牵引变电站的功率因数，且具有良好的实时性。
将伽马与α和β功率调节结合起来，以增强局灶性癫痫患者的皮质映射
1 Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, Netherlands, 2 Center for Integrative Neuroscience (CIN), Maastricht University, Maastricht, Netherlands, 3 Neuroscientific MR-Physics Research Group, Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, School of Medicine, Technische Universität München, Munich, Germany, 4 Technical University of Munich Neuroimaging Center (TUM-NIC), Klinikum rechts der Isar, School of Medicine, Technische Universität München, Munich, Germany, 5 Maastricht Brain Imaging Center (M-BIC), Maastricht University, Maastricht, Netherlands, 6 Department of Clinical Neurophysiology, Maastricht University Medical Center, Maastricht University, Maastricht, Netherlands, 7 Basque Center on Cognition, Brain and Language (BCBL), Donostia-San Sebastian, Spain, 8 Centre for Biomedical Research (CBMR)/Department of Psychology, Universidade do Algarve, Faro, Portugal, 9 Department of Vision & Cognition, Netherlands Institute for Neuroscience，荷兰皇家艺术与科学学院（KNAW），荷兰阿姆斯特丹，