Patent Application: Scheduling Method for Addressing Power Shortages

ChangeBridge: Patent Apps - Power Supply (H02J)

Published November 29th, 2025

Detected March 26th, 2026

Summary

The USPTO has published a patent application (US20260088613A1) from Beijing Jiaotong University detailing a method for scheduling and optimizing demand-side flexible resources to address power shortages. The proposed system classifies resources and constructs an optimization mechanism to balance electricity purchasing costs and internal dispatching costs.

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What changed

This document is a patent application (US20260088613A1) filed with the USPTO by Beijing Jiaotong University. It describes a method, system, and electronic device for addressing power shortages by classifying demand-side flexible resources, constructing an optimization scheduling mechanism for these resources, modeling their regulating abilities, and developing an intraday optimization scheduling model. The goal is to balance the cost of purchasing electricity from external grids with the cost of dispatching internal load-side resources, considering the uncertainty of distributed resources.

As this is a patent application, it does not impose immediate regulatory obligations or compliance deadlines on entities. However, it represents a novel technological approach to energy management and grid stability. Companies involved in energy distribution, grid management, or smart grid technology may find the described methodologies relevant for future development and implementation. The application was filed on November 29, 2025.

Source document (simplified)

← USPTO Patent Applications

SCHEDULING METHOD, SYSTEM, ELECTRONIC DEVICE, AND MEDIUM FOR ADDRESSING POWER SHORTAGE

Application US20260088613A1 Kind: A1 Mar 26, 2026

Assignee

Beijing Jiaotong University

Inventors

Zhao LIU, Xiaojun WANG, Fangyuan SI, Zhijie JIAO, Min CHEN, Jinghan HE, Ying WANG

Abstract

The present disclosure provides a scheduling method, system, electronic device, and medium for addressing power shortages, comprising: step S1: classifying demand-side flexible resources; step S2: constructing a day-ahead-and-intraday optimization scheduling mechanism for demand-side resources to participate in system regulating; step S3: modeling demand-side flexible resources; step S4: aggregating regulating abilities of the Class II load; and step S5: constructing an intraday optimization scheduling model based on a total cost of purchasing electricity from other power grids and a total cost of dispatching load-side resources. The present disclosure classifies demand-side resources and constructs an optimization scheduling mechanism, effectively dispatching different types of regulating resources to participate in optimization scheduling, balancing cost of purchasing electricity from outside the province and dispatching resources within the province, considering uncertainty of adjustability of distributed resources making the model more accurate and practical, thereby reducing cost of scheduling during power shortage.