Grid Edge CVR Factor Estimation for Service Transformer Load Control
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Solution Overview
Problem
Existing methodologies fail to effectively estimate the local conservative voltage reduction (CVR) factor for power systems, particularly at the service transformer level, and do not adequately address issues related to CVR factor estimation for energy.
Innovation Solution
A computer-implemented method using grid edge devices (GEDs) to determine a local CVR factor by receiving voltage change and power change values, identifying voltage events, calculating CVR values, and generating a local CVR factor based on these values.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing methodologies are used to estimate CVR factor, then the estimation process is simple, but the accuracy and reliability of local CVR factor estimation at service transformer level is insufficient
Solution Approach 1:
The patent segments the power distribution system into multiple control zones with service transformers, and further segments data collection to grid edge devices (GEDs) at individual premises. Each GED independently measures local voltage and power changes, then these segmented local measurements are aggregated to determine the overall CVR factor. This segmentation enables accurate local-level estimation without requiring a monolithic complex system.
Solution Approach 2:
The patent implements self-service by enabling grid edge devices at customer premises to autonomously measure and report their own voltage and power consumption data. Each GED independently identifies voltage events and calculates local CVR contributions without requiring external intervention. This self-service approach simplifies the overall system architecture while improving measurement accuracy through distributed intelligence.
2Measurement precision
If distributed grid edge devices are deployed for local CVR factor determination, then measurement accuracy improves, but system complexity and data processing requirements increase
Solution Approach 1:
The patent creates a universal data processing framework that handles multiple functions: collecting voltage and power data from diverse GEDs, identifying various types of voltage events, calculating individual CVR contributions, and aggregating results. This multi-functional approach consolidates complex operations into a unified process, reducing the difficulty of detecting and measuring CVR factors across distributed locations.
Solution Approach 2:
The patent introduces an intermediary processing layer that receives data from multiple independent GEDs and mediates the aggregation process. This intermediary systematically correlates voltage events with power changes across all GEDs, filters relevant data, and computes the final CVR factor. The intermediary simplifies the complexity by providing a structured mediation process between distributed measurements and the final CVR determination.
3Reliability
If voltage events are identified based on multiple event parameters, then reliability of CVR estimation improves, but the complexity of event identification increases
Solution Approach 1:
The patent implements dynamic event identification by establishing multiple adjustable parameters for voltage events (voltage change thresholds, duration criteria, rate of change limits). These parameters can be dynamically configured based on system conditions and adjusted to optimize reliability. The dynamic nature of these parameters allows the system to adapt to varying operational conditions while maintaining reliable CVR estimation without requiring overly complex fixed-rule systems.
Data Source
AI summary
A system and method for determining a local CVR factor using grid edge devices (GEDs) comprises: receiving, from each of the GEDs, respective voltage change values and power change values; identifying, using the processor, voltage events within at least one control zone, each of the GEDs being associated with a zone of the at least one control zone, the voltage events being identified based on the GEDs in the groups meeting one or more event parameters; identifying a plurality of CVR values for each GED, each CVR value being based on one of the voltage change values and one of the power change values associated with each identified voltage event; generating, using the processor and based on the plurality of CVR values, a local CVR factor for each GED; and, controlling one or more devices based on the local CVR factor.