微型电脑应用2025，Vol.41Issue(4)：158-161,4.
分布式光伏并网电能质量控制的FBD优化方法
FBD Optimization Method for Power Quality Control of Distributed Photovoltaic Grid Connection
摘要
Abstract
This paper proposes a power quality analysis method of distributed photovoltaic grid connection based on artificial in-telligence algorithms to overcome the shortcomings of poor real-time performance and strong lag of the basic Fryze-Buchholz-Depenbrak(FBD)harmonic detection model.The proposed method uses an improved empirical mode decomposition(EMD)al-gorithm to decompose the three-phase signals input by FBD into multi-mode signals to enhance the system's feature recognition ability.At the same time,the bidirectional long-and short-term memory(LSTM)network is used to learn the signal features,learn the fault library signal features,and judge the actual signal status.Experimental results show that the algorithm accurate-ly decomposes complex disturbance signals into sub-signals,and the accuracy of signal feature recognition reaches 93.48％,which is the best among the compared algorithms.Compared with other algorithms,the proposed algorithm has better per-formance and generalization ability,and can effectively analyze and process the power quality of distributed photovoltaic grid connection.关键词
长短时记忆网络/分布式电网/FBD算法/经验模态分解/光伏并网/电能质量控制Key words
long-and short-term memory network/distributed grid/FBD algorithm/empirical mode decomposition/photovol-taic grid connection/power quality control分类
信息技术与安全科学引用本文复制引用
朱英杰..分布式光伏并网电能质量控制的FBD优化方法[J].微型电脑应用,2025,41(4):158-161,4.基金项目
国网江苏公司管理咨询项目(B710K0223J4S) （B710K0223J4S）
