摘要
无线监测网络技术可为分布式光伏并网发电系统的安全稳定运行提供保障。网络中的主要能耗在于数据信息传输过程中的通信能耗,文章利用压缩感知理论对采集到的光伏发电系统数据信息进行压缩,可节约监测网络的通信能耗,为解决压缩感知理论中的含有噪声的稀疏信号重构问题,提出了基于连续正则因子的梯度投影稀疏重构算法,对算法改进前后的电压信号重构效果进行了仿真分析,仿真结果表明,文章提出的算法具有运行精度高、效率高的优点。
The wireless sensor monitoring network technology can provide a solution for secure and stable operation of distributed photovoltaic generation systems, but wireless network communication consumes most energy. To solve this problem, the compressed sensing theory is adopted to compress the generation system data for saving communication energy in a network. To reconstruct signals with noises,a gradient projection sparse reconstruction （GPSR） algorithm based on continuous regular factor is proposed. Simulations of the improved algorithm show that the proposed algorithm has advantage of high operation precision and high operation efficiency.
出处
《可再生能源》
CAS
北大核心
2014年第8期1099-1104,共6页
Renewable Energy Resources
基金
国家自然科学基金项目(51307044)
江苏省自然科学基金项目(BK2012409)
关键词
分布式光伏发电系统
无线传感器网络
梯度投影稀疏重构
均方误差
distributed photovoltaic generation system
wireless sensor network
gradient projection sparse reconstruction
mean square error
