Distributed Power Control Nodes for Rapid Fault Isolation
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Solution Overview
Problem
Current electric power distribution systems face challenges in minimizing service interruptions and efficiently managing resources, particularly in isolating faults and reconfiguring circuits to prevent overloading, which can lead to lengthy and costly outages.
Innovation Solution
The implementation of a distributed intelligence system with Netlist-enabled devices that maintain real-time databases of system resources and status, allowing for autonomous decision-making and optimal reconfiguration of power distribution networks, including load balancing, fault interruption, and resource management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If nodes respond individually to system abnormalities without coordinating with other nodes, then the loss of commodity is reduced, but the number of users experiencing service interruption increases
Solution Approach 1:
The distribution system is divided into multiple autonomous nodes that can independently detect and respond to abnormalities. Each node is equipped with intelligence to make local decisions about isolating faults, allowing the system to segment the impact of abnormalities and prevent cascading failures while maintaining overall system reliability.
Solution Approach 2:
Nodes exchange information about system conditions and abnormality detections through a communication network. This feedback mechanism enables coordinated response where nodes can share fault location data and adjust their isolation actions accordingly, minimizing both energy loss and service interruptions by making informed collective decisions.
2Device complexity
If manual operation is used to isolate faults in distribution feeders, then device complexity is reduced, but productivity and response time deteriorate
Solution Approach 1:
The distribution system implements self-healing capabilities where autonomous nodes automatically detect faults, determine isolation strategies, and execute switching operations without human intervention. This self-service approach dramatically improves fault isolation speed while keeping individual node devices relatively simple, as the intelligence is distributed across multiple nodes rather than centralized in complex control systems.
Solution Approach 2:
Manual mechanical switching operations are replaced with automated electronic control systems. Nodes use sensors to detect abnormalities and electronic switches to isolate faults, replacing the need for manual crew dispatch and physical switch operations. This substitution maintains simplicity at the device level while achieving high productivity through automation.
3Reliability
If centralized control is used to coordinate node responses, then service continuity is improved, but device complexity and system cost increase
Solution Approach 1:
Control functionality is segmented and distributed across multiple autonomous nodes rather than centralized in a single control center. Each node contains the intelligence needed to make local decisions about fault isolation and service restoration, eliminating the need for complex centralized control systems while maintaining coordinated response through peer-to-peer communication.
Solution Approach 2:
Nodes autonomously manage their own control functions and make independent decisions about system operations based on local conditions and information from neighboring nodes. This self-service approach distributes the control burden across many simple nodes rather than requiring one complex centralized controller, achieving both reliability and simplicity.
4Reliability
If reclosing relays are used to restore service after faults, then service continuity is improved, but the risk of repeated outages increases
Solution Approach 1:
Before attempting to restore service through reclosing, nodes perform preliminary assessments of system conditions and fault characteristics. The autonomous control system evaluates whether reclosing is appropriate based on real-time data from sensors and neighboring nodes, preventing unnecessary reclosing attempts that could cause repeated outages while enabling safe reclosing when conditions warrant it.
Data Source
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AI summary
A system for automated reconfiguration of a power distribution system, comprising a plurality of nodes being located in the distribution system; a plurality of node controllers controlling respective nodes in the plurality of nodes and including resources which monitor the distribution system, which source, permit or inhibit flow of power in the distribution system in response to detection of a condition requiring reconfiguration of the distribution system, which communicate information with at least one other node controller in the plurality of node controllers to transmit and receive communicated information; which affect the state of the associated node to source, permit or inhibit flow of commodity in accordance with one of a first operating mode and a second operating mode. The first operating mode being a primary operating mode and comprising a rapid restoration mode wherein a first node is operable to query the communicated information to identify at least one resource that is operable to affect optimal service restoration based on a minimal switching operation.