Energy management system for microgrids with DERs disclosed

ChangeBridge: Patent Apps - Power Supply (H02J)

Published March 26th, 2026

Detected March 26th, 2026

Summary

The USPTO has disclosed a patent application for an energy management system designed for microgrids with distributed energy resources (DERs). The system aims to optimize energy reallocation across disparate facilities by analyzing profile data, detecting events like energy surpluses or deficits, and generating recommendations for cost-efficient energy allocation.

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What changed

This document is a patent application disclosure from the USPTO detailing an energy management system for microgrids. The system is designed to manage energy across multiple facilities, each potentially containing distributed energy resources (DERs). It involves receiving profile data, creating aggregated profiles, identifying energy reallocation opportunities through an event detection engine, and generating optimized energy allocation recommendations via a recommendation engine based on predictive models.

While this is a patent disclosure and not a regulation, entities involved in microgrid development, energy management, or distributed energy resource integration may find the disclosed technology relevant. There are no immediate compliance obligations or deadlines associated with this patent application; however, it signifies potential technological advancements in the energy sector that could influence future industry standards or regulatory considerations.

Source document (simplified)

← USPTO Patent Applications

ENERGY MANAGEMENT SYSTEM FOR DISPARATE FACILITIES

Application US20260088631A1 Kind: A1 Mar 26, 2026

Inventors

Gordon R. WINSTON, John-Philip GALINSKI, Nigel WALKER, Mark THOMPSON, Patrick J.D. SANTOS

Abstract

Predictive energy management across a plurality of microgrids situated at disparate facilities is disclosed. Each microgrid may include one or more distributed energy resources (DERs). Reception of profile data from these microgrids and the creation of aggregated profiles is enabled, which may incorporate the profile data, charts of accounts, energy transfer tariffs, and other energy-related attributes. An event detection engine may identify triggering events such as energy surpluses, deficits, or operational conditions, indicating a benefit to energy reallocation. A recommendation engine may generate energy allocation recommendations based on predictive models, optimizing factors like cost efficiency, carbon offset utilization, and energy availability. The recommendations may be executed through an aggregation server, which dynamically updates the aggregated profiles in real-time.