Microgrid Power Sharing Links for Low-Loss Distributed Energy

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Conventional power systems face inefficiencies due to long-distance energy transmission, leading to power loss and a need for a scalable distributed energy system that can efficiently share and manage power close to loads.

Innovation Solution

A FRACTALGRID system, comprising self-similar microgrid nodes that integrate locally available renewable resources and enable data and power sharing based on defined rules, allowing for autonomous operation and integration with larger grids, enhancing energy security and reliability.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of energy

If power is transmitted over long distances from central power stations, then power can be supplied to multiple locations, but power loss increases during transmission

Engineering Contradiction:
Improvepower lossVSAvoidtransmission distance
Core Design Contradiction:
Loss of energyVSLength of stationary object

Solution Approach 1:

The patent divides the centralized power system into multiple distributed microgrids located close to loads. Each microgrid operates semi-autonomously, generating and managing its own power locally, thereby eliminating long-distance transmission and associated power losses while maintaining system functionality through inter-microgrid communication and coordination

Inventive Principle:
Principle #1Segmentation

2Loss of energy

If a distributed energy system is implemented close to loads, then power loss is reduced, but system complexity increases due to multiple interconnected components

Engineering Contradiction:
Improvepower lossVSAvoidsystem complexity
Core Design Contradiction:
Loss of energyVSDevice complexity

Solution Approach 1:

The patent implements a universal communication protocol and standardized interface architecture that enables diverse microgrid components (generators, loads, storage devices) to interoperate through common rules and data formats. This multi-functional framework allows the system to handle power exchange, communication, and coordination across heterogeneous components without proportionally increasing complexity

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system incorporates continuous monitoring and feedback mechanisms where microgrids exchange operational data, power status, and demand information through a standardized communication network. This feedback enables automated decision-making for power sharing, load balancing, and coordination, reducing the need for complex manual control while maintaining system efficiency

Inventive Principle:
Principle #23Feedback

3Reliability

If microgrids operate autonomously, then energy security is improved, but coordination and power sharing between microgrids becomes more difficult

Engineering Contradiction:
Improveenergy securityVSAvoidcoordination difficulty
Core Design Contradiction:
ReliabilityVSEase of operation

Solution Approach 1:

The patent introduces a standardized communication protocol and data exchange framework that acts as an intermediary between autonomous microgrids. This intermediary layer enables seamless information sharing and coordination without compromising individual microgrid autonomy, allowing them to function independently while easily collaborating for power sharing and system-wide optimization

Inventive Principle:
Principle #24Intermediary (Mediator)

Data Source

PatentUS12170443B2Establishing communication and power sharing links between components of a distributed energy system
Publication Date: 2024.12.17 FORTRESS POWER LLC
  • US12170443B2 patent drawing
  • US12170443B2 patent drawing
  • US12170443B2 patent drawing

AI summary

Disclosed herein is a method and system for sharing power or energy across various power supply and control modules. More specifically, disclosed herein are systems and methods for distributing energy. As explained herein, the method discloses receiving, at a microgrid, data from a plurality of data sources. The data is then analyzed to forecast power needs associated with the microgrid. Using the data, the microgrid may determine whether and when to share power with the requesting module.