The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
May. 17, 2022
Filed:
Nov. 09, 2020
Ruisheng Diao, Richland, WA (US);
Di Shi, San Jose, CA (US);
Bei Zhang, San Jose, CA (US);
Siqi Wang, San Jose, CA (US);
Haifeng LI, Nanjing, CN;
Chunlei Xu, Nanjing, CN;
Desong Bian, San Jose, CA (US);
Jiajun Duan, San Jose, CA (US);
Haiwei Wu, Nanjing, CN;
Ruisheng Diao, Richland, WA (US);
Di Shi, San Jose, CA (US);
Bei Zhang, San Jose, CA (US);
Siqi Wang, San Jose, CA (US);
Haifeng Li, Nanjing, CN;
Chunlei Xu, Nanjing, CN;
Desong Bian, San Jose, CA (US);
Jiajun Duan, San Jose, CA (US);
Haiwei Wu, Nanjing, CN;
Other;
Abstract
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.