Process Bus Engineering with Automated GOOSE and SMV Mapping
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Solution Overview
Problem
The engineering of process bus systems in substations is complex, time-consuming, and prone to errors due to the need for extensive manual configuration of Intelligent Electronic Devices (IEDs), requiring significant human skill and effort, which can lead to inefficiencies and mistakes.
Innovation Solution
A computer-implemented method and toolset that automatically configures process bus systems by generating publisher-subscriber data and mapping GOOSE and SMV connections based on engineering data from IEDs, using IED Capability Description and Instantiated IED files, and storing this data in an engineering database for efficient substation automation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual configuration of IEDs is performed for process bus system engineering, then configuration accuracy can be ensured through human expertise, but configuration time and complexity increase significantly
Solution Approach 1:
The system enables self-service configuration by automatically generating IED configurations, GOOSE connections, and SMV mappings based on substation single-line diagrams and device specifications. The automated configuration engine eliminates manual engineering steps, reducing configuration time from hundreds of hours to minutes while maintaining accuracy through rule-based validation.
Solution Approach 2:
The patent replaces manual mechanical configuration processes with automated software-based configuration. The system uses computer algorithms to generate connection mappings, configure IED parameters, and validate system architecture, substituting human manual operations with automated digital processes that are both faster and more accurate.
2Adaptability or versatility
If manual engineering of process bus system is performed, then human expertise can handle complex configurations, but the process becomes prone to errors and requires significant skill
Solution Approach 1:
The system incorporates validation mechanisms that provide feedback during configuration generation. The automated engine validates generated configurations against system requirements, checks for consistency in GOOSE and SMV mappings, and identifies potential errors before deployment, thereby reducing error-proneness while maintaining ability to handle complex configurations.
Solution Approach 2:
The automated configuration system performs self-validation and self-correction, eliminating reliance on human expertise for error prevention. The system automatically detects configuration conflicts, validates connection mappings, and ensures compliance with IEC 61850 standards, making the process more reliable without requiring skilled manual intervention.
3Ease of operation
If extensive manual configuration is performed for process bus engineering, then detailed control over each parameter is achieved, but device complexity and effort required increase
Solution Approach 1:
The system merges multiple configuration tasks into a single automated process. Instead of manually configuring IED parameters, GOOSE connections, and SMV mappings as separate complex tasks, the automated engine generates all configurations simultaneously from unified substation data models, reducing engineering complexity while maintaining detailed parameter control.
Solution Approach 2:
The automated configuration system provides universal functionality that handles various configuration types (IED parameters, GOOSE connections, SMV mappings, single-line diagram integration) through a single unified platform. This multi-functional approach simplifies the engineering process by eliminating the need for multiple specialized configuration tools and procedures.
Data Source
AI summary
A computer implemented method for engineering a process bus system, a substation engineering tool, and a substation communication configuration tool are provided. The computer implemented method obtains, from the substation engineering tool, engineering data associated intelligent electronic device(s) deployable in a substation, using an SCD file, generates publisher-subscriber data by determining a publisher logical device and a subscriber logical device from the IEDs and the connections therebetween, based on the engineering data, stores into the engineering data the publisher-subscriber data, transfers the engineering data to the substation communication configuration tool via the SCD file, and automatically maps, in the substation communication configuration tool, the publisher logical device and the subscriber logical device with the GOOSE and SMV information based on the engineering data and the publisher-subscriber data.