Wind Turbine Fault Reset System Using Configurable Rules
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Solution Overview
Problem
Current wind turbine management systems require significant downtime and increased maintenance costs due to the need for human intervention to assess and reset tripped turbines, which is inefficient and logistically challenging in large wind farms.
Innovation Solution
A wind turbine management system that includes a control server with a management module capable of analyzing operational data based on configurable rules to determine if a fault is resettable, allowing for automatic resetting of soft faults and generating diagnostic logs for hard faults, thereby reducing downtime and maintenance needs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual analysis and resetting of tripped wind turbines is performed by service engineers, then fault diagnosis accuracy is improved, but wind turbine downtime increases and productivity decreases
Solution Approach 1:
The wind turbine management system performs self-diagnosis and self-resetting of tripped turbines by automatically analyzing fault logs and operational data using configurable rules, eliminating the need for manual service engineer intervention for resettable faults and significantly reducing downtime
Solution Approach 2:
The system replaces manual mechanical analysis by service engineers with automated electronic data processing and rule-based analysis algorithms that continuously monitor operational information and automatically determine resettable faults
2Ease of repair
If service engineers physically inspect and reset each tripped wind turbine, then fault resolution accuracy is improved, but maintenance costs and logistical complexity increase
Solution Approach 1:
The management system acts as an intermediary between fault occurrence and service engineer intervention, automatically processing fault logs and operational data to identify resettable faults and execute resets, thereby filtering out cases requiring manual intervention and reducing overall system complexity
Solution Approach 2:
The system segments fault handling into two distinct categories: resettable faults handled automatically by the management system and non-resettable faults requiring service engineer intervention, allowing each to be processed through appropriate channels
3Measurement precision
If extensive operational data is collected and analyzed using configurable rules, then fault detection precision is improved, but system complexity increases
Solution Approach 1:
The system uses configurable rules that define specific parameter thresholds and conditions for fault detection and reset decisions, allowing precise fault detection through programmable parameters rather than complex hardware or algorithms
Data Source
AI summary
A method of wind turbine management includes receiving operational information on operational characteristics of a wind turbine. The operational information is analyzed based on a set of rules, and a determination is made as to whether a fault of the wind turbine is resettable. The set of rules may be configured based on operating configuration of the wind turbine. Advanced operational information may be received for conducting enhanced diagnostics and a determination is made as to whether a fault of the wind turbine is resettable.