Locating Oscillation Sources in DFIG Wind Systems
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Solution Overview
Problem
Existing methods fail to accurately identify equipment-level oscillation sources within Doubly Fed Induction Generator (DFIG) systems, which is crucial for suppressing low-frequency oscillations and ensuring stable operation of wind power grid-connected systems.
Innovation Solution
A method and device that construct an energy correlation topology network, analyze dynamic energy flows, and calculate causality between components using a vector autoregressive model to build a causality diagram, determining oscillation transmission routes and locating equipment-level oscillation sources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing localization methods (hybrid simulation, waveform similarity, energy function) are used to identify oscillation sources at the generator level, then the generator or region can be identified accurately, but the specific components inside the unit where the oscillation source is located cannot be determined
Solution Approach 1:
The patent segments the DFIG system into multiple components (converter, controller, generator, etc.) and analyzes the oscillation characteristics of each component separately. By dividing the complex DFIG system into smaller subsystems and examining their individual energy flow characteristics, the method can identify which specific component is the oscillation source, rather than only identifying the generator level.
Solution Approach 2:
The patent introduces energy flow as an intermediary concept to trace the oscillation transmission path within the DFIG system. By analyzing the energy flow between different components (converter → controller → generator), the method can identify the specific component that generates or transmits the oscillation, serving as a mediator to locate the oscillation source at the component level.
2Reliability
If existing methods are used to locate oscillation sources, then the generator or region can be identified, but fast suppression of oscillation cannot be realized due to inability to determine specific components
Solution Approach 1:
The patent performs preliminary analysis of the energy flow characteristics and builds an energy flow map of the DFIG system in advance. This pre-established energy flow model allows for rapid identification of oscillation sources when oscillations occur, eliminating the need for time-consuming data collection and analysis during actual oscillation events, thus enabling fast suppression.
Solution Approach 2:
The patent replaces traditional mechanical/physical measurement methods with an energy flow analysis approach. Instead of using complex hardware interventions or time-consuming physical measurements to identify oscillation sources, the method uses computational energy flow analysis to quickly determine which component is causing the oscillation, significantly reducing the time required for oscillation suppression.
Data Source
AI summary
The application relates to a method and device for locating equipment-level oscillation sources of DFIG grid-connected system, which belongs to the technical field of wind generation, and solves the problem of stable operation of the wind power grid-connected system at the current stage. The method comprises: constructing the energy correlation topology network of the components in DFIG; analyzing the dynamic energy flows between the components during the oscillation process; calculating magnitudes of the causality between the dynamic energy flows; building a causality diagram of oscillation transmission in the DFIG; analyzing the distribution of the magnitude of the causality in the diagram, determining the oscillation transmission routes and locating the oscillation sources.