基于自适应网络的电网电压稳定评估方法
Evaluation Method for Voltage Stability of Power Grid Based on Adaptive Network
朱梁 1杨世皓 1朱立铭 1张小天1
作者信息
- 1. 国网上海市区供电公司,上海 200080
- 折叠
摘要
为了提高电网电压稳定评估能力,构建健康、安全的自适应网络,构建出电网节点模型,通过IEEE 30节点模型分析电网稳定机理,探究不同参数对电压稳定的影响.从电网静态和动态两方面出发,设计电网电压和功率灵敏度、有功功率裕度以及节点能量堆积三个指标,同时将上述指标作为电网的多参数节点稳定指标.采用自适应神经网络对多参数节点稳定指标与电网电压稳定的关系进行计算分析,通过自适应网络对电网节点模型进行处理,得出不同节点指标对电压稳定的影响和预测.试验证明,电网电压评估方法稳定、适应性强,与传统神经网络相比可以有效优化电网运行.
Abstract
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.
关键词
电网电压稳定/IEEE节点模型/MATLAB仿真/多参数指标/自适应网络Key words
power grid voltage stability/IEEE node model/MATLAB simulation/multi-parameter index/adaptive network引用本文复制引用
出版年
2024
NETL
NSTL
万方数据