Other

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

Jiajun Duan

Di Shi

Bei Zhang

Haifeng Li

Zhiwei Wang

Xiao Lu

Chunlei Xu

Ruisheng Diao

Zhehan Yi

Siqi Wang

Haiwei Wu

Desong Bian

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

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

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Jiajun Duan