Open-Loop Power Grid Load Transfer Overload Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional methods for detecting overloading in open-loop power grids are inefficient and do not effectively isolate devices during load transfer, lacking specific scenarios for power flow calculation involving voltages in wide area topology models.
Innovation Solution
A method that involves constructing a power supply tree graph, determining target devices and standby power supplies, and performing overload detection through power superposition to identify impacted devices and prioritize transfer schemes, thereby enabling efficient load transfer and device isolation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional power flow convergence methods are used for overload detection, then detection accuracy is maintained, but dispatching efficiency is low and labor intensity is high
Solution Approach 1:
The patent segments the power grid into a tree-graph structure with hierarchical levels, dividing the overload detection task into manageable subsets. By identifying target devices and their associated target sets, the method partitions the detection scope from the entire grid to specific regions, significantly reducing computational burden while maintaining detection accuracy.
Solution Approach 2:
The patent extracts only the necessary subset of devices (target set) related to the abnormal target device for overload detection, rather than analyzing the entire power grid. This extraction principle focuses computational resources on the relevant portion of the system, improving efficiency without sacrificing detection completeness.
2Reliability
If overload detection is performed on all devices in the power grid, then comprehensive detection is achieved, but computational complexity increases and efficiency decreases
Solution Approach 1:
The patent applies local quality by performing detailed overload analysis only on the target set of devices directly related to the abnormal target device, while using simplified assessment for other regions. This localized approach concentrates computational effort where it is most needed, maintaining detection reliability while reducing overall complexity.
Solution Approach 2:
The patent performs preliminary identification of the target device and target set before conducting detailed overload detection. By pre-defining the detection scope based on the abnormality location and tree-graph relationships, the method avoids unnecessary computations on unaffected devices, reducing computational complexity while ensuring comprehensive detection of relevant devices.
3Extent of automation
If manual path analysis is used for load transfer, then flexibility is maintained, but automation level is low and labor intensity is high
Solution Approach 1:
The patent enables the power grid system to automatically perform path analysis and overload detection through the tree-graph methodology. The system self-identifies target devices, determines target sets, and conducts detection without manual intervention, achieving high automation while maintaining operational flexibility through the structured analytical framework.
4Measurement precision
If detailed overload detection is performed on all devices, then detection precision is high, but time consumption increases
Solution Approach 1:
The patent applies partial action by performing detailed overload detection only on the target set of devices related to the abnormal target device, rather than conducting exhaustive analysis on all devices. This partial detection approach achieves sufficient precision for the affected region while significantly reducing time consumption compared to full-grid analysis.
Data Source
AI summary
Provided is a method for detecting overloading of devices for load transfer in an open-loop power grid, including: constructing a power supply tree graph; determining a target device and a standby power supply; determining a target node, a target set, and one or more target subsets; for each of the target subsets, determining nodes in said target subset between which the parent-child relationship is reversed due to the load transfer, and performing overload detection on each device corresponding to one of the nodes or an edge on a path connecting the nodes; and determining two nodes between which a direct parent-child relationship is generated from nonexistence due to the load transfer, and performing overload detection on each device corresponding to a node or an edge on a path connecting a parent node of the two nodes and a common parent node.


