Generator Set Stability Detection Using PMU Oscillation Curves
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Solution Overview
Problem
The existing process for determining the stability of a 'double-big' power system is complicated, leading to inaccurate judgments due to high computational and communication burdens, especially with the integration of renewable energy and power electronics, which increases the number of dynamic elements and heterogeneity in generator sets.
Innovation Solution
A method using Liapunov's direct method to determine the stability of a generator set in a power system by analyzing PMU data, involving the calculation of a target matrix, state deviation, oscillation curve, and extreme point values to evaluate the working state, thereby simplifying the stability assessment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional stability analysis methods are used in double-big power systems, then comprehensive stability assessment can be performed, but computational burden and communication burden increase significantly
Solution Approach 1:
The patent segments the complex power system into individual generator sets, each equipped with a local processing unit that independently analyzes its own PMU data. This decomposition transforms a single complex computational problem into multiple simpler parallel problems, reducing overall computational burden while maintaining comprehensive stability assessment coverage across the entire power system.
Solution Approach 2:
The patent introduces a stability judgment module as an intermediary that processes PMU data locally at each generator set. This intermediary performs preliminary stability analysis and filters critical information before transmission to central control, reducing communication burden and enabling faster local response while maintaining accurate system-wide stability assessment.
2Reliability
If traditional stability analysis methods are used in double-big power systems, then comprehensive stability assessment can be performed, but communication burden increases significantly
Solution Approach 1:
The patent extracts only the essential stability-related features from raw PMU data at each generator set using local processing. By extracting key stability indicators locally rather than transmitting all raw data, the system maintains accurate stability assessment while significantly reducing the volume of communication data required for system-wide monitoring.
Solution Approach 2:
The patent performs preliminary stability analysis and data processing at each generator set before transmission to central control. This preliminary action pre-processes the data locally, identifying and transmitting only critical stability information, thereby reducing communication burden while ensuring accurate system-wide stability assessment is maintained.
3Measurement precision
If detailed stability analysis is performed for all generator sets, then accurate stability judgment can be achieved, but processing time increases due to large number of dynamic elements
Solution Approach 1:
The patent implements dynamic parallel processing where each generator set's stability analysis is performed independently and simultaneously. This dynamic parallelization allows the system to maintain high measurement precision for each generator while reducing total processing time, as all analyses proceed concurrently rather than sequentially through the large number of dynamic elements.
Data Source
AI summary
Provided are a method, a device and electronic equipment for detecting a stability of a generator set in a power system. The method includes following steps: determining a target matrix by using Liapunov's direct method based on a state space matrix corresponding to power management unit (PMU) data; obtaining a state deviation corresponding to the PMU data and an oscillation curve corresponding to the state deviation in a case of determining the power system being in a stable state according to the target matrix; determining extreme point values corresponding to the oscillation curve at each oscillation; and evaluating a working state of the generator set in the power system according to the extreme point values.