Automated Renewable System Configuration Detection
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Solution Overview
Problem
Monitoring and data collection for distributed renewable energy systems are challenging due to the need for precise measurements across various variables, human error in data gathering and communication, and the complexity of gathering data from multiple systems, especially as system configurations change over time.
Innovation Solution
A computer processor-based method that automates the determination of system configuration information by constructing standard performance curves and characteristic features for different system types, remotely acquiring data, and comparing it to standard curves and features to identify system types without user input, improving data quality and reducing manual errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual data gathering is used by system installers, then data collection is simple and quick, but human error occurs and data quality deteriorates
Solution Approach 1:
The system enables self-service by allowing the monitored electrical system to automatically provide its own configuration information through the data stream. The system self-identifies its type and parameters without requiring manual input from installers, thereby eliminating human error while maintaining quick data collection.
Solution Approach 2:
The patent replaces the mechanical process of manual data gathering with an automated electronic system. Instead of installers manually recording data, the system uses automated analysis of the data stream to extract configuration information, substituting human action with computational processes.
2Measurement precision
If automated detection of system parameters is implemented, then data accuracy improves and user input errors are reduced, but system complexity increases
Solution Approach 1:
The system achieves universality by using a single automated detection mechanism that can identify multiple different system types (PV, wind, solar thermal, etc.) and their various parameters. This multi-functional approach improves data accuracy across diverse systems without requiring separate complex procedures for each system type.
Solution Approach 2:
The patent utilizes parameter changes in the data stream itself as the basis for detection. By monitoring how parameters such as power output, consumption patterns, and environmental correlations change over time, the system automatically identifies system configuration without requiring complex additional hardware or procedures.
3Reliability
If comprehensive data is gathered from multiple systems, then system performance monitoring improves, but data gathering complexity and time requirements increase
Solution Approach 1:
The system implements continuous monitoring and automatic detection throughout the operational life of the renewable energy systems. Rather than requiring periodic manual data gathering, the system continuously analyzes the data stream in real-time, maintaining high reliability without time loss.
Solution Approach 2:
The patent employs feedback mechanisms where the system continuously receives data from multiple systems, automatically analyzes it to determine configuration information, and uses this information to improve future monitoring accuracy. This closed-loop feedback process enhances performance monitoring quality while minimizing time requirements through automation.
Data Source
AI summary
A computer processor implemented method of determining system configuration information of a monitored electrical system without the need for user input by constructing a data set of a standard performance curve for at least one system type; defining at least one characteristic feature for each system type; determining the required data to identify at least one system type according to at least one of the standard performance curve and characteristic feature; remotely acquiring the required data; comparing system acquired electrical system data to at least one system type and correlated standard performance curves and correlated characteristic features to provide system configuration information for at least one monitored electrical system to provide the specific type of monitored electrical system.