Other

State Grid Jiangsu Electric Power Company

Global Energy Interconnection Research Institute Co. Ltd

State Grid Corporation of China Co., Ltd

State Grid Shanxi Electric Power Company

Haiwei Wu

Di Shi

Chunlei Xu

Bei Zhang

Haifeng Li

Zhe Yu

Ruisheng Diao

Siqi Wang

Jiajun Duan

Yingzhong Gu

Guanyu Tian

Desong Bian

Systems and methods for processing measurement data in an electric power system include acquiring the measurement data by a phasor measurement unit (PMU) coupled to a line of the electric power system, and inputting a plurality of the measurement data within a predetermined time window into a K-nearest neighbor (KNN) for identifying bad data among the plurality of the measurement data, wherein when one of the plurality of measurement data contains a bad datum, the machine learning module sends the bad datum to a denoising autoencoder module for correcting the bad datum, wherein the denoising autoencoder module outputs a corrected part corresponding to the bad datum, and when one of the plurality of measurement data contains no bad datum, the machine learning module bypasses the denoising autoencoder module and outputs the one of the plurality of measurement data as an untouched part.

Systems and methods of bad data identification and recovery for electric power systems

Systems and methods are disclosed for control voltage profiles, line flows and transmission losses of a power grid by forming an autonomous multi-objective control model with one or more neural networks as a Deep Reinforcement Learning (DRL) agent; training the DRL agent to provide data-driven, real-time and autonomous grid control strategies; and coordinating and optimizing power controllers to regulate voltage profiles, line flows and transmission losses in the power grid with a Markov decision process (MDP) operating with reinforcement learning to control problems in dynamic and stochastic environments.

Multi-objective real-time power flow control method using soft actor-critic

Growing community of inventors

Nanjing, China

Haiwei Wu