Distributed Energy Resource Ranking for Timely Demand Response

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Solution Overview

Problem

Distributed energy resources are geographically dispersed and not readily available at the location of energy demand events, making it challenging to adaptively schedule and deliver power efficiently to meet varying energy demands.

Innovation Solution

A system that ranks distributed energy resources based on dynamic state of health indicators, using key performance indicators and machine learning, to optimize energy delivery by balancing throughput and latency, and dynamically assigns resources to meet demand events, including movement of mobile resources as needed.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If distributed energy resources are used to meet energy demand, then energy supply flexibility and resource utilization are improved, but geographic dispersion makes timely delivery and adaptive scheduling difficult

Engineering Contradiction:

Improveenergy supply flexibilityVSAvoidtimely delivery

Core Design Contradiction:

Adaptability or versatilityVSLoss of time

Solution Approach 1:

The system performs preliminary ranking of distributed energy resources based on dynamic state of health indicators before demand events occur. This pre-assessment allows the system to quickly identify suitable resources when demand arises, eliminating the need for real-time evaluation and enabling rapid response while maintaining adaptability across different resource types and locations.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent introduces a centralized scheduling system that acts as an intermediary between geographically dispersed energy resources and demand events. This intermediary collects health indicator data from all resources, performs comprehensive ranking and matching, and coordinates resource allocation, thereby bridging the gap between scattered resources and specific demand locations while optimizing for both flexibility and timeliness.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Productivity

If multiple distributed energy resources are allocated to meet demand events, then energy supply capability is improved, but resource degradation and health deterioration worsen

Engineering Contradiction:

Improveenergy supply capabilityVSAvoidresource health

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

The system implements dynamic state of health indicators that continuously update resource status based on current conditions, usage history, and environmental factors. This dynamic assessment allows the scheduling system to adapt resource allocation in real-time, assigning tasks to resources in their optimal health states and avoiding overuse of degraded resources, thereby maintaining both high energy supply capability and resource reliability.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The patent incorporates feedback mechanisms where the scheduling system monitors resource health indicators before, during, and after demand event responses. This feedback loop allows the system to learn from resource performance, adjust future allocations to prevent overuse, and maintain an updated ranking of resources based on their current health status, ensuring sustainable utilization that balances productivity with resource preservation.

Inventive Principle:

Principle #23Feedback

3Adaptability or versatility

If distributed energy resources are geographically dispersed, then system resilience and distribution flexibility are improved, but resource availability at specific demand locations deteriorates

Engineering Contradiction:

Improvedistribution flexibilityVSAvoidresource availability

Core Design Contradiction:

Adaptability or versatilityVSEase of operation

Solution Approach 1:

The patent replaces physical proximity requirements with a virtual matching system that uses algorithms to pair demand events with suitable distributed resources regardless of geographic distance. The system substitutes the mechanical constraint of local availability with an information-based matching process that considers resource capabilities, health status, and delivery feasibility, thereby maintaining distribution flexibility while improving effective resource availability through intelligent selection.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS20250293525A1Distributed energy resource management

Publication Date: 2025.09.18 GM GLOBAL TECHNOLOGY OPERATIONS LLC

AI summary

a process for responding to an energy demand event includes identifying an energy demand event and ranking multiple distributed energy resources according to a dynamic state of health of each distributed energy resource. At least one of the distributed energy resources is assigned to meet the demand event. An anomaly count of at least one of the at least one distributed energy resources is monitored throughout the energy demand event.