A Static Security Region Analysis of New Power Systems Based on Improved Stochastic–Batch Gradient Pile Descent

The uncertainty in the new power system has increased, leading to limitations in traditional stability analysis methods. Therefore, considering the perspective of the three-dimensional static security region (SSR), we propose a novel approach for system static stability analysis. To address the slow...

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Bibliographic Details
Published in:Applied sciences Vol. 14; no. 9; p. 3730
Main Authors: Wu, Jiahui, Zhou, Yide, Wang, Haiyun, Wang, Weiqing
Format: Journal Article
Language:English
Published: Basel MDPI AG 01.05.2024
Subjects:
Accuracy
Algorithms
Alternative energy sources
Data mining
Datasets
Efficiency
Electric power systems
Energy resources
hyperplane
improved stochastic–batch gradient pile descent
Lagrange multiplier
Methods
Renewable resources
Safety and security measures
static security region of power systems
Systems stability
wind power penetration rate
ISSN:2076-3417, 2076-3417
Online Access:Get full text
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Summary:The uncertainty in the new power system has increased, leading to limitations in traditional stability analysis methods. Therefore, considering the perspective of the three-dimensional static security region (SSR), we propose a novel approach for system static stability analysis. To address the slow training speed of traditional deep learning algorithms using batch gradient descent (BGD), we introduce an improved stochastic–batch gradient descent (S-BGD) search method that combines the advantages of stochastic gradient descent (SGD) in fast training. This method ensures both speed and precision in parameter training. Moreover, to tackle the problem of getting trapped in local optima and saddle points during parameter training, we draw inspiration from kinematic theory and propose a gradient pile (GP) training method. By utilizing accumulated gradients as parameter corrections, this method effectively avoids getting stuck in local optima and saddle points, thereby enhancing precision. Finally, we apply the proposed methods to construct the static security region for the IEEE-118 new power system using its data as samples, demonstrating the effectiveness of our approach.
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content type line 14
ISSN:2076-3417
2076-3417
DOI:10.3390/app14093730