PLC Grid Topology Detection Using CIR Variation and Token Checks
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Solution Overview
Problem
Existing power grid topology detection methods struggle to efficiently identify changes in the electrical grid topology due to high noise levels, asymmetrical channel responses, and signal attenuation, especially in low-voltage networks, which complicates the detection of added or removed nodes.
Innovation Solution
A distributed and fully channel impulse response (CIR) based algorithm is employed to detect topology changes in an electrical grid by observing signal variations between nodes, generating lists of CIRs, identifying nodes with the highest variation, and sending tokens to confirm topology changes, while ignoring nodes with low signal strength and reducing channel estimation errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If PLC-based smart grids are deployed to enable two-way communication between utility assets, then communication efficiency and cost-effectiveness are improved, but noise levels and signal attenuation increase making topology change detection difficult
Solution Approach 1:
The system performs preliminary actions by continuously monitoring and storing channel impulse responses at multiple time points before a topology change occurs. When a change is detected, the system already has historical CIR data that enables immediate comparison and identification of the changed node, eliminating the need for real-time complex analysis during the change event.
Solution Approach 2:
The system implements feedback mechanisms by continuously comparing current CIR measurements with historical stored CIRs to detect topology changes. The feedback loop involves: measuring current CIR, comparing with stored historical CIRs, identifying nodes with highest variation, and generating alerts when changes are detected, thereby enabling continuous monitoring and adaptive response.
2Measurement precision
If distributed CIR-based algorithm is used to detect topology changes, then detection accuracy is improved, but computational complexity and processing time increase
Solution Approach 1:
The algorithm segments the detection process into distinct manageable steps: (1) observing signals at multiple time points, (2) generating CIR lists for each node, (3) comparing CIRs between time points, (4) identifying nodes with highest variation, and (5) generating alerts. This segmentation allows each step to be processed independently and simplifies the overall computational burden.
Solution Approach 2:
The system applies partial action by focusing computational resources only on nodes that show the highest variation in CIR between time points, rather than analyzing all nodes equally. By first filtering nodes based on CIR variation thresholds, the system reduces the effective search space and computational complexity while maintaining high detection accuracy.
3Reliability
If all nodes are considered in topology change detection, then detection completeness is improved, but processing time increases due to quiet nodes with low signal strength
Solution Approach 1:
The system applies local quality by differentiating nodes based on their signal characteristics. Nodes are categorized as 'active' (above RSSI threshold) or 'quiet' (below threshold), and the detection algorithm focuses computational efforts on active nodes that are more likely to exhibit meaningful topology changes. This localized approach maintains detection completeness for relevant changes while reducing processing time by excluding noisy quiet nodes.
Data Source
AI summary
Power grid surveillance via topology detection system using power line communications (PLC) is provided by observing, at first and second times, first and second signals, respectively, sent via PLC between a plurality of nodes in an electrical grid; generating first and second lists for a given node of the plurality of nodes of channel impulses responses (CIRs) for the given node to communicate with other nodes in the plurality of nodes respectively based on the first and second signals as observed; identifying from the first list and the second list a certain node with a highest variation in CIR between the first time and the second time; sending a first token for the given node from the given node to the certain node via PLC; and in response receiving a second token from the certain node at the given node, generating a topology change alert.