Wind Power Plant Dynamic Model Parameter Testing Method
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Solution Overview
Problem
Current methods lack the capability to provide precise measured data for dynamic model parameters of wind power plants, leading to instability in power grids due to fluctuating wind power output, which complicates grid stability analysis and dispatching.
Innovation Solution
A testing method involving stable grid access conditions, recording of power and voltage curves, removal of wind turbine generators, power signal testing, reactive-load compensation, switching to alternative power sources, and simulating faults to gather precise data for dynamic model parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If wind power plants operate with fluctuating wind resources, then wind power output varies significantly, but this leads to charging power fluctuation and grid stability problems
Solution Approach 1:
The patent applies preliminary action by conducting pre-testing of wind power plants under controlled conditions before actual grid operation. The testing method includes pre-establishing test conditions (stable running, stable wind speed between cut-in and rated speed, output less than rated output), pre-recording baseline data, and pre-simulating various disturbance scenarios. This allows the system to prepare and optimize its response characteristics before facing actual grid stability challenges, thereby improving grid stability without sacrificing wind power output potential.
2Measurement precision
If no testing method is available for dynamic model parameters, then grid stability analysis lacks precise data, but developing a comprehensive testing method requires complex test procedures
Solution Approach 1:
The patent applies segmentation by dividing the comprehensive testing method into distinct, manageable steps. Each step focuses on a specific aspect: Step 1 records baseline data under stable conditions, Step 2 tests response to generator removal, Step 3 performs power signal step tests, Step 4 tests reactive-load compensation, Step 5 switches to alternative power sources, and Step 6 simulates faults. This segmentation allows complex testing to be performed systematically without overwhelming complexity, providing precise measurement data through structured procedures.
Solution Approach 2:
The patent applies parameter changes by systematically varying test conditions to extract dynamic model parameters. The method changes parameters such as power output levels (less than rated output), wind speed ranges (between cut-in and rated speed), and operational states (stable running, disturbance conditions). By changing these parameters across different test scenarios, the method obtains comprehensive data for accurate dynamic modeling without requiring an overly complex single-test procedure.
3Measurement precision
If wind power plants are tested under various disturbance conditions, then precise measured data is obtained, but the testing process requires multiple steps and controlled conditions
Solution Approach 1:
The patent applies preliminary action by establishing stable baseline conditions before testing begins. The method requires stable running of wind turbine generators and reactive-load compensation equipment, stable wind speed between cut-in and rated speed, and wind power plant output less than rated output. This preliminary stabilization ensures that any measurements taken during subsequent disturbance testing are accurate and attributable to the disturbances rather than pre-existing instability, thereby improving measurement precision while providing a clear, repeatable testing procedure.
Data Source
AI summary
The present invention discloses a testing method for dynamic model parameters of a wind power plant, wherein under testing conditions including stable running of wind turbine generators and reactive-load compensation equipment, stable wind speed between a cut-in wind speed and a rated wind speed, and the wind power plant output smaller than a rated output, finishes a wind speed transient disturbance test, a wind power plant unit tripping and inputting disturbance test, a wind power plant power change test, a disturbance test for reactive-load compensation equipment of the wind power plant, a tripping disturbance test for hydroelectric power plant and thermal power plant near the wind power plant and a manual single-phase ground short circuit test at the outgoing line part of the wind power plant, and records running curves of the wind power plant under each condition to finish the parameter test. The present invention realizes the advantage of providing precise measurement data for the stability analysis of an electric power system and the production dispatching of a power grid.