摘要
针对有些分布式光伏业主通过不法手段获取高额补贴的现象,提供一种分布式光伏三层筛选窃电识别方法。基于最小二乘支持向量机(LSSVM)计算光伏出力模型,构建实时、短期、长期三层分布式光伏窃电筛选架构,层层筛选识别出存在窃电嫌疑的分布式光伏业主。最后,开发了反窃电应用系统验证所提出的分布式光伏窃电识别方法的合理性和可行性。
Aiming at the phenomenon of some distribution photovoltaic owners obtain high subsidy by illegal means, a photovoltaic generation three-layer electricity stealing recognition is provided.Based on the least squares support vector machine （LSSVM）, the photovohaie output model is calculated to construct the realtime, short-term and long-term th- ree-layer distributed generation electricity stealing recognition system and the layers are selected to identify the pho- tovohaic owners suspected of stealing electricity.Finally,the anti-stealing application system is developed to verify the rationality and feasibility of the distributed photovohaic stealing identification method.
出处
《电力电子技术》
CSCD
北大核心
2017年第10期30-32,45,共4页
Power Electronics
关键词
光伏发电
最小二乘支持向量机
窃电识别
photovohaic generation
least squares support vector machine
electricity stealing recognition
