Vehicle-to-Grid Dispatch for Power Outage Prediction and Response

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Solution Overview

Problem

Existing systems fail to effectively predict and respond to resource delivery issues affecting electricity providers, leading to potential disruptions in electrical service areas, and lack efficient mechanisms for vehicles to provide emergency electricity support.

Innovation Solution

A system utilizing vehicle-to-grid technology, where vehicles are dispatched to areas affected by resource delivery issues to provide electricity, leveraging blockchain technology for decentralized data management and smart contracts for authorization and compensation.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If traditional power grid systems are used without vehicle-to-grid integration, then infrastructure complexity is reduced, but reliability of electricity supply during resource delivery issues deteriorates

Engineering Contradiction:
Improveelectricity supply reliabilityVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

Vehicles serve as mobile intermediary energy storage units between the power grid and affected areas. When resource delivery issues occur, vehicles with available energy can dispatch to provide electricity to locations within the affected area, acting as a mediator that bridges the gap between the power provider and end users during disruptions

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The system dynamically identifies and responds to resource delivery issues in real-time. The processor continuously monitors for issues, determines electric impact and affected areas, and dynamically dispatches vehicles based on current conditions rather than following static predetermined routes or schedules

Inventive Principle:
Principle #15Dynamics

2Productivity

If vehicles are dispatched to provide electricity during resource delivery issues, then productivity of energy distribution is improved, but loss of time for detection and response increases

Engineering Contradiction:
Improveenergy distribution efficiencyVSAvoiddetection and response time
Core Design Contradiction:
ProductivityVSLoss of time

Solution Approach 1:

Vehicles are pre-positioned and ready for deployment with available energy reserves. The system maintains a fleet of vehicles that can be quickly activated and dispatched without requiring time-consuming setup or preparation when resource delivery issues are detected

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system implements continuous monitoring and feedback loops to detect resource delivery issues promptly. The processor receives information about resource delivery status, determines electric impact, and triggers vehicle dispatch based on real-time feedback from the grid system

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS12609035B2Grid-related event prediction
Publication Date: 2026.04.21 TOYOTA MOTOR NORTH AMERICA INC
  • US12609035B2 patent drawing
  • US12609035B2 patent drawing
  • US12609035B2 patent drawing

AI summary

An example operation includes one or more of determining an issue exists with a resource delivery to an electricity provider, determining an electric impact, based on the issue, determining an area that will be affected by the electric impact, and dispatching vehicles to provide electricity to locations within the area.