Evaluation Method for Voltage Stability of Power Grid Based on Adaptive Network
In order to improve the evaluation ability of power grid voltage stability and build a healthy and safe adaptive network,a power grid node model was first constructed.The IEEE 30 node model was used to analyze the mechanism of power grid stability and explore the impact of different parameters on voltage stability.Starting from both static and dynamic aspects of the power grid,three indicators were designed:voltage and power sensitivity,active power margin,and node energy accumulation.At the same time,the above indicators were combined as the multi-parameter node stability indicators of the power grid.The adaptive neural network was used to calculate and analyze the relationship between multi-parameter node stability indicators and power grid voltage stability,and process the power grid node model through the adaptive network to obtain the impact and prediction of different node indicators on voltage stability.The experiments have shown that the voltage evaluation method for power grids is stable and adaptable,and can effectively optimize power grid operation compared to traditional neural networks.
power grid voltage stabilityIEEE node modelMATLAB simulationmulti-parameter indexadaptive network
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