摘要
提出了基于模糊逻辑的微电网孤岛探测算法,建立了微电网模型,对不同运行状态下微电网络系统的参数进行采集分析,提取出微电网在孤岛和并网2种运行模式下的11个特征参数.通过使用k-均值聚类算法建立了三角形模糊隶属函数中心值和底宽参数,确定了适用于孤岛探测的模糊规则库,从解模糊输出中优化了孤岛探测的模糊可信度值.该算法在不同信噪比情况下进行实验仿真,结果表明,孤岛探测率达到100%,在微电网系统孤岛探测中具有较强的鲁棒性.
Micro-grid islanding detection algorithm based on fuzzy logic is proposed.A study model of the micro-grid system is established,the parameters of different operating states are gathered and analyzed,and the eleven characteristic parameters are extracted in tw o operation modes of the island and grid-connected.By using the k-means algorithm,the centre value and the base w idth parameter of the triangle membership function are obtained.The fuzzy rule bases applied to island detection are defined,and the reliability measure value is optimized from unfuzzy output.This algorithm is tested w ith different noise ratios,and the results show that the islanding detection ratio is 100%,indicating the high robustness for islanding detection in the micro-grid system.
出处
《东南大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2013年第A01期67-71,共5页
Journal of Southeast University：Natural Science Edition
基金
国家电网公司资助项目(SGKJKJ2011523)
郑州市科技攻关资助项目(10DTGS507-5)
关键词
微电网
模糊逻辑
孤岛探测
可信度
micro-grid
fuzzy logic
islanding detection
reliability measure
