Japan Science and Technology Agency

Shanghai Jiao Tong University

Meiyi Li

Kazuyuki Aihara

Wentao Huang

Luonan Chen

Nengling Tai

Rui Liu

Xiaodong Zheng

Zhiping Liu

The invention provides an adaptive inertial control method based on IIDG (Inverter Interfaced Distributed Generator) of a virtual synchronous motor. By building an adaptive virtual inertia and IIDG output frequency model, the adaptive control sensitive factor is selected from a model according to the virtual synchronous motor dynamic response features; the adaptive inertial upper and lower limits are selected from a model according to the energy storage configuration constraint; the IIDG optimization control strategy is obtained. The control on the grid-connected inverter distributive power supply can be realized, so that the IIDG output is more stable; the interference on the system can be well handled; meanwhile, the characteristics of small overshoot and fast response are realized; the ultra-high dynamic features are realized.

Adaptive inertia control method of IIDG based on VSG

The present invention provides a device, method, and program for detection of a biomarker candidate that may be used in a diagnosis of a pre-disease state indicating a transition from a healthy state to a disease state. Biological samples are collected from a subject to be measured at different times. Statistical data is obtained by aggregating measurement data obtained in measurement on collected biological samples. Thereafter, a process of obtaining high-throughput data (s), a process of choosing differential biological molecules (s), a process of clustering (s), a process of choosing a DNB candidate (s), and a process of identifying a DNB by significance analysis (s) are carried out.

Device for detecting a dynamical network biomarker, method for detecting same, and program for detecting same

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Shanghai, China

Meiyi Li