USPTO Patent Granted for Virtual Power Plant Bidding Strategy

ChangeBridge: Patent Grants - Power Supply (H02J)

Published March 24th, 2026

Detected March 25th, 2026

Summary

The USPTO has granted a patent (US12586127B2) to Mitsubishi Electric Research Laboratories, Inc. for a stochastic bidding strategy for virtual power plants utilizing mobile energy storage systems. The patent covers methods for optimizing energy allocation and bidding scenarios based on uncertain parameters and user risk preferences.

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What changed

The United States Patent and Trademark Office (USPTO) has granted patent US12586127B2 to Mitsubishi Electric Research Laboratories, Inc. This patent covers a stochastic bidding strategy for virtual power plants that incorporate mobile energy storage (MEES) systems. The patented technology focuses on optimizing the allocation of energy and the scheduling of MEES systems within an energy market by determining allocating amounts of energy for the MEES system and for each time interval based on uncertain parameters, an optimization model, and user risk preferences.

This patent grant is primarily informational and does not impose new regulatory obligations on regulated entities. However, it signifies technological advancements in the energy market that may influence future industry practices and potentially lead to new compliance considerations related to energy trading and grid management technologies. Compliance officers in the energy sector should be aware of such technological developments as they may impact operational strategies and future regulatory landscapes.

Source document (simplified)

← USPTO Patent Grants

Stochastic bidding strategy for virtual power plants with mobile energy storages

Grant US12586127B2 Kind: B2 Mar 24, 2026

Assignee

Mitsubishi Electric Research Laboratories, Inc.

Inventors

Hongbo Sun, Dongliang Xiao

Abstract

Systems and methods for allocating energy including distributing and receiving energy using a mobile energy storage (MEES) system at locations of a power supplier in an energy market system by a user. Determine allocating amounts of energy for the MEES system and for each time interval for all time intervals for an upcoming operating time period based on a set of uncertain parameters using an optimization model. Base on calculating an objective function using uncertain parameters. Update the objective function using constraints. While optimizing the objective function for a value hierarchy associated with energy and reserve bidding scenarios for the user and delivery scheduling for the MEES system based upon the stored user risk preferences. Control scheduling of the MEES system between the locations of the power supplier, according to allocating of the amount of the electrical energy for the MEES system at the locations of the power supplier.