Wind Farm Controller Setpoint Buffering for Communication Failures
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Solution Overview
Problem
Existing power generation systems, particularly wind farms, face challenges in maintaining flexibility and network support during communication failures between control centers and generators, as they are often limited to using standard values, which can lead to disruptions in power adjustments and network stability.
Innovation Solution
A method and device that receive data packets containing both current and future setpoints, where future setpoints are stored and used as controller setpoints after communication failures, allowing for continued adjustment of power generation based on forecasted energy requirements, ensuring network support and stability even during data transmission disruptions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If standard values are used for controller setpoints during communication failures, then system reliability is maintained, but adaptability to varying energy requirements deteriorates
Solution Approach 1:
The system performs preliminary actions by storing multiple future setpoints in advance before communication failures occur. When communication is lost, these pre-stored setpoints are used sequentially to maintain adaptive control without relying on standard values, thus preserving both reliability and adaptability during failures.
2Reliability
If communication lines are continuously monitored for failures, then system reliability is improved, but device complexity increases
Solution Approach 1:
The system implements self-service through automatic communication monitoring and autonomous switching to stored setpoints. The controller automatically detects communication failures and transitions to using pre-stored future setpoints without requiring complex external monitoring systems or manual intervention, balancing reliability improvement with acceptable complexity.
3Adaptability or versatility
If future setpoints are stored in memory for use during communication failures, then adaptability is maintained, but loss of information increases due to larger data transmission requirements
Solution Approach 1:
The system extracts and stores only the essential future setpoint data in memory, separating this critical information from other communication data. This selective extraction allows the system to maintain adaptability during failures while minimizing the impact on data transmission requirements, as only specific future setpoints are stored rather than all possible data.
Data Source
AI summary
Provided is a method, device and system for outputting a controller setpoint for at least one power generator that is at least one wind power installation, at least one windfarm, or a cluster controller. The method includes receiving, over a data input, a data packet including a current setpoint and a plurality of future setpoints, storing the future setpoints of the received data packet in a memory, and outputting, over a data output, the current setpoint as the controller setpoint. If after the expiration of a predefined time period from the reception of the data packet, no further data packet is received, a first setpoint of the stored plurality of future setpoints is output over the data output as a next controller setpoint.