Multi-rotor Wind Turbine Anomaly Detection and Load Control
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Solution Overview
Problem
Conventional wind power generator systems, especially multi-rotor types, face challenges in quickly and precisely detecting anomalies across multiple wind turbine sections, leading to potential imbalances and excessive loads during emergency shutdowns, which can cause damage.
Innovation Solution
A wind power generator system with a detection unit and anomaly determination unit that assesses operational states based on instantaneous and integrated parameters like pressure, temperature, and rotational speed, allowing for precise and rapid anomaly detection without the need for extensive data accumulation, and includes a load prediction and control mechanism to manage emergency shutdowns effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional anomaly detection methods using accumulated operational data and normal models are used, then measurement precision may be improved, but loss of time increases and device complexity increases
Solution Approach 1:
The patent pre-establishes the relationship between operational parameters and anomaly states during the design phase. Instead of accumulating data during operation to create models, the system has pre-defined normal and abnormal state thresholds for parameters like rotational speed, temperature, and pressure, enabling immediate anomaly detection without data accumulation delays
Solution Approach 2:
The patent extracts only the essential operational parameters (rotational speed, temperature, pressure) needed for anomaly detection rather than accumulating and analyzing all possible operational data. This selective extraction of critical parameters enables faster detection while maintaining precision by focusing on the most indicative variables
2Reliability
If emergency shutdown control is performed on one wind turbine section in a multi-rotor system, then reliability is improved for that section, but imbalance occurs in the system generating excessive load
Solution Approach 1:
The control device continuously monitors the operational state of all wind turbine sections and dynamically adjusts the operation of healthy sections based on real-time feedback. When an anomaly is detected, the system provides feedback control signals to other sections to reduce their output, thereby balancing the load on the tower section and preventing excessive forces while maintaining overall system safety
Solution Approach 2:
The patent implements dynamic control where the operational parameters of wind turbine sections are continuously adjusted based on system conditions. Instead of static emergency shutdown, the system dynamically modulates the operation of healthy sections to compensate for the anomalous section, maintaining balance and reducing excessive loads while preserving reliability
3Productivity
If multiple wind turbine sections are installed on one tower section to increase power generation, then productivity is improved, but difficulty of detecting and measuring anomalies increases
Solution Approach 1:
The patent applies segmentation by independently monitoring each wind turbine section's operational parameters (rotational speed, temperature, pressure) separately. This segmented approach to data collection and analysis simplifies anomaly detection in multi-rotor systems by treating each section as an independent monitoring unit, reducing the overall complexity despite multiple sections operating on one tower
Data Source
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AI summary
An object of the present invention is to provide a wind power generator system and a method and a program for controlling the wind power generator system that are capable of precisely and quickly determining whether an anomaly is present by a simple process. The wind power generator system (1) includes: a tower section (3); a plurality of wind turbine sections (5), each of which include a rotor, a blade provided on the rotor, and an electric generator configured to generate electric power by rotational force of the rotor; support members (4) joined to the tower section (3) and supporting the respective wind turbine sections (5); a detection unit (6) configured to detect a value of a predetermined parameter indicating an operational state of each of the wind turbine sections (5); and an anomaly determination unit (7) configured to determine whether an anomaly is present in each of the wind turbine sections (5) on the basis of the operational state of each of the wind turbine sections detected by the detection unit (6).