Grid Topology Graph Conversion for Non-Standard Network Data
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Solution Overview
Problem
Current methods for analyzing network information in electrical low-voltage and medium-voltage grids face challenges due to the lack of standardized data formats, leading to inefficiencies in data exchange and manual processing requirements, which are time-consuming and prone to errors, especially in predicting system states and controlling grids with distributed power generation.
Innovation Solution
A computer-implemented method that deserializes and transforms network information into a standardized format, using a communication device, deserialization device, and assignment devices to provide a network topology as a graph, enabling automated data exchange and reducing manual work by recognizing component types and properties, and utilizing machine learning for improved accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual processing methods are used to transform network information into standardized formats, then data exchange between different grid operators can be achieved, but the process becomes time-consuming and prone to errors
Solution Approach 1:
The patent replaces manual mechanical processing with automated computer-implemented methods. The system automatically receives serialized network information, deserializes it, assigns component types and properties, and outputs standardized network topology data, eliminating manual intervention and its associated errors and time consumption.
Solution Approach 2:
The system enables self-service automation where the computer arrangement autonomously performs the entire data transformation process from receiving serialized network information to generating standardized topology output without requiring manual operation, thereby improving both speed and reliability.
2Adaptability or versatility
If non-standardized data formats are used in different grid operators, then each operator can maintain its own data structure, but standardized processing and data exchange between operators become difficult
Solution Approach 1:
The patent introduces an intermediary standardized format (CIM - Common Information Model) that acts as a mediator between different grid operators' proprietary data formats. The system transforms diverse input formats into this standardized intermediate representation, enabling seamless data exchange while preserving the adaptability of individual operator formats.
Solution Approach 2:
The system creates a universal data transformation capability that can handle multiple different input formats from various grid operators and convert them all into a single standardized output format, making the processing system adaptable to diverse sources while maintaining standardized processing.
3Productivity
If automated deserialization and transformation methods are implemented, then processing efficiency and standardization are improved, but system complexity increases
Solution Approach 1:
The patent segments the complex data transformation process into distinct modular steps: receiving serialized network information, deserializing the data, assigning component types, assigning component properties, and outputting standardized topology. This segmentation manages complexity by making each step independent and well-defined.
Solution Approach 2:
The system manages complexity through parameter changes by transforming data from one format state to another through controlled parameter modifications during deserialization and assignment processes, rather than requiring complete system redesign.
Data Source
AI summary
A computer-implemented method for analyzing network information in an electrical energy supply grid includes the following steps: receiving serialized network information in a first application-specific data format by way of a communication device, wherein the serialized network information contains information about system components, deserializing the serialized network information by way of a deserialization device, and assigning component types based on the information about system components by way of a first assignment device, and assigning component properties based on the information about system components by way of a second assignment device, and providing a network topology that, as a graph, contains types and properties of the system components, in a second application-specific data format by way of a topology output device. There is also described a corresponding arrangement and a computer program product.