Multi-market resource dispatch optimization

US12276953B2 · kind B2 · utility

Assignee

• MICROSOFT TECHNOLOGY LICENSING, LLC · US

Inventors

• Peeyush KUMAR · Seattle, US
• Lucien Werner · Pasadena, US
• Shivkumar Kalyanaraman · Melbourne, AU
• Srinivasan Iyengar · Round Rock, US
• Weiwei Yang · Nanhu, CN
• Tanuja Hrishikesh Ganu · Bengaluru, IN
• Ranveer Chandra · Kirkland, US
• Riyaz PISHORI · Sammamish, US
• Upendra Singh · Mountain View, US

Key dates

• Filing date: May 27, 2022
• Grant date: Apr 15, 2025
• Expiry date: Jun 8, 2043

Classification

• Technology area (CPC G): Physics
• CPC primary: G05B2219/2639
• WIPO field: IT methods for management
• WIPO sector: Electrical engineering

Abstract

The techniques disclosed herein enable systems to enable multi-market optimization of renewable energies using data-driven models. To achieve this, a model retrieves a current state from a resource generation system and associated resource markets. The model can then compute a policy based on the state as well physical and technical constraints. The policy defines various actions that direct operation of the resource generation system such as resource production and dispatch to markets. Applying the policy to the resource generation results in a modified state which the model extracts along with a measure of optimality which quantifies the success of the policy. Based on these metrics, the model can generate an updated iteration of the policy defining a different set of actions. In this way, the model can gradually develop an optimal policy for controlling the resource generation system.