Real-Time Power Grid Reconfiguration via Heuristic Node Tracing
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Solution Overview
Problem
Current power grid distribution networks lack real-time situational awareness, leading to high risks of power outages due to undetected abnormal loading conditions caused by excessive real power, which can result in equipment failure and reduced reliability.
Innovation Solution
A system for real-time power grid distribution network control that monitors power parameters, detects abnormal loading conditions, and performs reconfiguration analysis using a heuristic logic method combining depth first trace and breadth first division to generate a reconfiguration plan, thereby alleviating or eliminating abnormal loading conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If real-time monitoring and reconfiguration analysis are implemented, then reliability is improved, but device complexity increases
Solution Approach 1:
The distribution network is divided into multiple feeder circuits, each monitored independently by phasor measurement units. The reconfiguration analysis is segmented into discrete steps (identifying overloaded feeders, finding alternative paths, switching operations) that can be executed systematically without requiring complex centralized control of the entire network at once.
Solution Approach 2:
A communication network acts as an intermediary between the phasor measurement units distributed across the network and the central control system. This intermediary enables real-time data collection and control signal transmission without requiring direct complex connections between all components, simplifying the overall system architecture while maintaining real-time monitoring capability.
2Measurement precision
If comprehensive power parameter collection is implemented, then measurement precision is improved, but loss of information increases due to data volume
Solution Approach 1:
The system extracts only the essential real-time power parameters (voltage, current, power factor) needed for overload detection from the comprehensive data available at phasor measurement units. By focusing on these specific parameters rather than collecting and processing all possible electrical measurements, the system achieves sufficient measurement precision for safety while reducing data management burden.
Solution Approach 2:
Phasor measurement units create digital copies of electrical parameters at strategic locations throughout the distribution network. These digital representations enable remote monitoring and analysis without requiring physical access to all equipment, providing comprehensive measurement capability while managing data through centralized digital modeling rather than physical data handling.
3Productivity
If rapid detection and reconfiguration is implemented, then productivity is improved, but device complexity increases
Solution Approach 1:
The system performs preliminary identification of alternative power paths and switching options before actual overload conditions occur. By pre-analyzing the network topology and identifying possible reconfiguration routes in advance, the system can rapidly respond to overloads by executing pre-planned switching sequences rather than calculating new solutions in real-time, improving response speed without requiring complex real-time computation.
Solution Approach 2:
The reconfiguration process is made dynamic and adaptive, allowing the system to adjust switching operations based on real-time conditions. The control system can modify reconfiguration plans as new information becomes available or conditions change, enabling rapid response while maintaining manageable complexity through flexible, condition-based decision-making rather than rigid predetermined sequences.
Data Source
AI summary
A system for power grid distribution network control can monitor a power grid distribution network in real-time, detect an abnormal loading condition based on real-time measurements on the distribution network, and perform in real time, in response to the detected abnormal loading condition, a reconfiguration analysis of the distribution network. The reconfiguration analysis can be performed based on heuristic logic that combines real time depth first trace and breadth first division of nodes within the distribution system. Through the reconfiguration analysis process, the system can generate and implement a practical and optimized reconfiguration plan in real time so as to alleviate or eliminate an abnormal loading condition in time to prevent possible pre-matured failures of equipment and consequently save cost of equipment replacement and/or related power outages. Accordingly, the distribution network may operate with improved stability and reliability, and a cost of operation can be reduced.