State Grid Corporation of China

Global Energy Interconnection Research Institute Co. Ltd

State Grid Beijing Electric Power Company

State Grid Corporation of China Co., Ltd

State Grid Jiangxi Electric Power Co.

Geiri Co Ltd, State Grid Jiangxi Electric Power Co, State Grid Corp of China, Geirina Inc.

Geiri Co Ltd, State Grid Jiangxi Electric Power Co, State Grid Corp of China Sgcc, Geirina

Geiri Co., Ltd

Zhehan Yi

Di Shi

Zhiwei Wang

Xiao Lu

Xiaohu Zhang

Haifeng Li

Ruisheng Diao

Yishen Wang

Qibing Zhang

Xiaoying Zhao

Jiajun Duan

Bibin Huang

Tingting Hou

Systems and method are disclosed for monitor long-term voltage stability in a power system by estimating post-contingency operating point(s) considering PV-PQ transitions based on the current operating point; predicting a sensitivity based Thevenin index (STI) for each contingency using the estimated operating condition; and determining a voltage stability assessment (VSA) considering N&#x2212;1 contingency.

Sensitivity based Thevenin index for voltage stability assessment considering N-1 contingency

Systems and methods are disclosed to manage a microgrid with a hybrid energy storage system (HESS) includes deriving a dynamic model of a bidirectional-power-converter (BPC)-interfaced HESS; applying a first neural network (NN) to estimate a system dynamic; and applying a second NN to calculate an optimal control input for the HESS through online learning based on the estimated system dynamics.

Optimal charging and discharging control for hybrid energy storage system based on reinforcement learning

Systems and methods are disclosed to control a power inverter by extracting photovoltaic (PV) maximum power under a plurality of operating conditions as one or more reference variables; predicting the future behaviors of a PV output voltage as one or more controlled variables based on a current operational condition; generating one or more control signals for the H5 inverter that minimizes an error between the reference variable and the controlled variables; and controlling the power inverter with the one or more control signals.

MPC-based PV maximum power point tracker for transformerless H5 inverter with leakage current reduction

A control system is disclosed with a control strategy for autonomous multi-bus hybrid microgrids based on Finite-Control-Set Model Predictive Control (FCS-MPC). The control loops are expedited by predicting the future states and determining the optimal control action before switching signals are sent to converters/inverters. The method eliminates PI and PWM components, and offers 1) accurate PV maximum power point tracking (MPPT) and battery charging/discharging control, 2) DC and AC bus voltage/frequency regulation, and 3) precise and flexible power sharing control among multiple DERs.

Model predictive controller for autonomous hybrid microgrids

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Zhehan Yi