Logistician Module for Adaptive Grid Fault Response
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Solution Overview
Problem
Geographically distributed complex device networks, such as power grids, face challenges in identifying, troubleshooting, and rectifying service interruptions caused by various external and internal factors like weather, sabotage, device aging, and malfunction in a timely manner due to their complexity.
Innovation Solution
An adaptive power grid management system that utilizes a network of devices with a processor, machine learning algorithms, and scout applications to detect alert conditions, form adaptive formation plans, and execute tasks autonomously, leveraging a self-acting grid architecture with AI-driven decision support and distributed control to maintain stability and resilience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If geographically distributed complex device networks are used to expand power grid coverage and capacity, then the power grid can serve more areas and handle higher loads, but the system becomes more susceptible to service interruptions and harder to troubleshoot and rectify in a timely manner
Solution Approach 1:
The patent segments the geographically distributed power grid into multiple operating cells, each capable of autonomous operation. This segmentation allows the system to maintain service in unaffected areas when disruptions occur in specific cells, thereby improving overall reliability while preserving expansion capability.
Solution Approach 2:
The patent implements a feedback mechanism where each operating cell continuously monitors its own status and communicates with other cells. This real-time feedback enables rapid detection of service interruptions and automated coordination for troubleshooting and rectification, addressing the reliability issue in complex distributed networks.
2Area of stationary object
If the number of components in the network increases to expand coverage, then more areas can be served, but external and internal causes of service interruptions become more difficult to identify and rectify in a timely manner
Solution Approach 1:
The patent enables each operating cell to perform self-diagnosis and self-rectification through autonomous decision-making capabilities. This self-service approach allows individual cells to identify and resolve their own issues without requiring manual intervention from central control, significantly reducing troubleshooting difficulty in large-scale networks.
Solution Approach 2:
The patent implements preliminary action by pre-configuring each operating cell with the authority and capability to make autonomous decisions and execute rectification actions. This preliminary empowerment ensures that when service interruptions occur, cells can immediately begin troubleshooting and resolution without waiting for external commands, accelerating response time.
3Speed
If autonomous operation of operating cells is enabled to improve response time, then faster local decision-making is achieved, but the extent of automation increases system complexity
Solution Approach 1:
The patent applies universality by designing a standardized operating cell architecture that can be replicated across the entire power grid. Each cell possesses the same autonomous capabilities and follows uniform decision-making protocols, which simplifies the overall system complexity despite the high level of automation. The standardized design allows for easier management and maintenance compared to customized autonomous systems.
Data Source
AI summary
A system for adaptive power grid management includes a logistician module configured to determine a federation command template for a formation plan comprising a plurality of tasks and class requirements associated with the tasks, select at least one asset class from the asset database for each task based on comparing asset class attributes associated with a plurality of asset classes and the class requirements associated with the tasks, select at least one asset for each asset class based on asset statuses, assign a task of the formation plan to the at least one asset, and generate a provisional logistics list comprising selected assets for the plurality of tasks of the formation plan.