Grid Model Phase Value Propagation During Cross-Phasing
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Solution Overview
Problem
Dynamic cross-phasing in power distribution networks often changes the phase value of faulty branches, but these changes are not accurately propagated to computer-based models used by energy management systems, leading to incomplete or inaccurate representations of the grid's operational state.
Innovation Solution
A method is introduced to generate a connectivity model of the power distribution network that includes power directing elements with nodes coupled to branches, allowing for the assignment and propagation of actual phase values, ensuring that the model reflects current phase values across the grid, even during fault conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If dynamic cross-phasing is implemented to restore power delivery during fault conditions, then power distribution reliability is improved, but the accuracy of computer-based grid models deteriorates because phase value changes are not propagated to the models
Solution Approach 1:
The patent implements a feedback mechanism where the energy management system continuously monitors actual phase values during dynamic cross-phasing operations and automatically updates the computer-based grid models with these current phase values. This closed-loop feedback ensures that model accuracy is maintained despite ongoing fault recovery operations and phase changes.
Solution Approach 2:
The patent establishes predetermined rules and protocols for phase value propagation that are configured in advance within the energy management system. When dynamic cross-phasing is detected or initiated, the system is pre-configured to automatically capture and propagate phase value changes to the appropriate grid models, eliminating delays and ensuring timely model updates.
2Measurement precision
If the grid model is updated to reflect real-time phase changes during dynamic cross-phasing, then model accuracy is improved, but system complexity increases due to additional monitoring and update mechanisms
Solution Approach 1:
The patent integrates phase value monitoring and model update functions into existing energy management system components that already perform other grid monitoring tasks. By making these existing components multi-functional - capable of both their original tasks and phase value propagation - the system achieves accurate model updates without adding separate dedicated systems, thereby limiting complexity growth.
Solution Approach 2:
The patent combines the phase value monitoring, change detection, and model update operations into a unified process within the energy management system. Rather than implementing separate systems for each function, the patent merges these operations into a single integrated workflow that leverages existing system infrastructure and data flow paths.
3Loss of time
If phase value propagation is implemented automatically during dynamic cross-phasing, then response time is improved, but the difficulty of detecting and measuring phase changes increases
Solution Approach 1:
The patent introduces intermediary measurement points and sensors strategically positioned within the grid infrastructure that directly monitor phase values at critical locations during dynamic cross-phasing. These intermediaries capture phase change data at the source and facilitate immediate propagation to models, reducing detection difficulty and enabling faster response times by bridging the gap between physical phase changes and digital model updates.
Data Source
AI summary
This disclosure describes methods for use with energy management systems that electric utilities use to manage power distribution networks. The methods can account for changes in phase value that dynamic cross-phasing causes in the power distribution network. In one embodiment, the methods facilitate computer-based modeling of the power distribution network to include such changes in phase value into a connectivity model, which provides a schematic representation of the power distribution network.


