Adaptive Wind Park Control Algorithm for Grid Voltage Regulation

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Solution Overview

Problem

Existing wind park control systems employ static control algorithms based on assumed short circuit strength, which can lead to suboptimal performance and oscillatory behavior when applied to varying grid conditions, particularly in weak or strong systems, resulting in inefficient voltage regulation and prolonged recovery times during faults.

Innovation Solution

An adaptive control algorithm that determines the short circuit ratio (SCR) of the grid and adjusts control algorithm parameters dynamically to optimize response time and voltage regulation, using reactive power injections or absorptions to measure system impedance and select appropriate parameter recipes for proportional and integral gains, and power recovery rates.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Device complexity

If static control algorithms based on assumed short circuit strength are used, then device complexity is reduced, but voltage regulation performance deteriorates under varying grid conditions

Engineering Contradiction:

Improvecontrol algorithm complexityVSAvoidvoltage regulation performance

Core Design Contradiction:

Device complexityVSReliability

Solution Approach 1:

The control algorithm transitions from static to dynamic by continuously determining the short circuit ratio (SCR) of the grid and adapting control parameters in real-time. The system dynamically adjusts proportional and integral gains based on measured grid conditions, ensuring optimal voltage regulation performance across varying grid strengths without requiring complex manual reconfiguration.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system implements feedback by measuring the grid's short circuit ratio and using this information to adjust control parameters. The control algorithm continuously monitors grid conditions and modifies its behavior based on the determined SCR value, creating a closed-loop system that adapts to changing grid conditions while maintaining manageable complexity through automated adaptation.

Inventive Principle:

Principle #23Feedback

2Ease of operation

If static control parameters are used in weak grid systems, then control simplicity is maintained, but oscillatory behavior increases

Engineering Contradiction:

Improvecontrol parameter managementVSAvoidvoltage stability

Core Design Contradiction:

Ease of operationVSStability of the object's composition

Solution Approach 1:

The control algorithm automatically changes parameters based on the determined short circuit ratio. When operating in weak grid conditions (low SCR), the system adjusts proportional and integral gains to prevent oscillatory behavior. This dynamic parameter adaptation maintains voltage stability without requiring manual intervention or complex operator decisions about appropriate parameter settings.

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The control system performs self-adjustment by automatically determining the grid's short circuit ratio and selecting appropriate control parameters without external input. The algorithm serves itself by adapting to grid conditions, eliminating the need for operators to manually manage parameter changes while maintaining stability across varying grid strengths.

Inventive Principle:

Principle #25Self-service

3Device complexity

If fixed control algorithms are applied to both weak and strong grid systems, then device complexity is minimized, but recovery time during faults is prolonged

Engineering Contradiction:

Improvecontrol system architectureVSAvoidrecovery time

Core Design Contradiction:

Device complexityVSLoss of time

Solution Approach 1:

The control algorithm dynamically adapts recovery strategies based on the determined short circuit ratio. In strong grid systems (high SCR), the algorithm enables faster recovery by adjusting control parameters to allow more aggressive voltage restoration. This dynamic adaptation reduces recovery time without requiring separate control systems for different grid types, maintaining architectural simplicity while improving performance.

Inventive Principle:

Principle #15Dynamics

4Reliability

If adaptive control algorithms that determine SCR are implemented, then voltage regulation performance is improved, but device complexity increases

Engineering Contradiction:

Improvevoltage regulation performanceVSAvoidcontrol algorithm structure

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The system uses feedback from grid measurements to determine the short circuit ratio and automatically adjusts control parameters accordingly. This feedback mechanism improves voltage regulation performance by adapting to actual grid conditions rather than relying on assumptions, while the automated nature of the adaptation keeps the increase in complexity manageable through algorithmic self-adjustment rather than manual configuration.

Inventive Principle:

Principle #23Feedback

Data Source

PatentEP2688172B1Method and apparatus for adaptively controlling wind park turbines

Publication Date: 2018.01.31 SIEMENS AG

Figure 1~2
Figure 3~4

AI summary

A wind turbine park (242) connected to a transmission system (234). The wind turbine park includes a component (230) for determining a short circuit ratio and based thereon for determining a parameter adjustment recipe, and a controller (238) for controlling an output of the wind turbine park, the controller (238) executing a control algorithm using a determined parameter adjustment recipe, the determined parameter adjustment recipe responsive to the short circuit ratio and determined within the component (230) or within the controller (238).