摘要
能源是人类生存和发展的基础,随着全球能源问题的加剧,以风能和太阳能为主的清洁能源越来越受到人们的重视。风能和太阳能作为可再生能源,取之不尽用之不竭,但其具有间歇性和波动性的特点,风机发电主要受风速影响,光伏发电主要受温度和辐射强度影响。分布式电源的接入可以提高能源利用率,但对电力系统的安全、稳定运行带来挑战,从而在一定程度上限制了风电及光电的发展和并网利用。针对这一情况,本文首先对光纤力热复合测试仪测取的大规模数据进行了筛选,对筛选出的数据进行聚类分析;然后,在不同气象条件下进行光伏和风机出力主成分分析,得到了一个通用的分布式储能系统评价模型;最后验证了该模型对于风能及光伏发电功率的短期预测、光电风电出力的场景选取等具有重要意义。
Energy is the basis of human survival and development.With the intensification of global energy problems,more and more attention has been paid to the clean energy based on wind and solar energy.As renewable energy,wind and solar energy are inexhaustible,but they are intermittently and undulation.Wind turbine power is mainly influenced by wind speed,and the photovoltaic power is mainly affected by temperature and radiation intensity.The access of distributed power supply can raise the energy utilization rate but bring challenges to the safe and stable operation of the power system,which limits the development of wind power and photoelectric and the use of grid.In this case,this paper first selected the large scale data measured by the fiber optic thermo thermal composite tester and analyzed the selected data.Then,the PV and fan output principal component analysis was carried out under different weather conditions,and a general distributed energy storage system evaluation model was obtained.Finally,the model was verified.The model is of great significance for short-term prediction of wind energy and photovoltaic power generation and selection of opto-electronic wind power output scenarios.
作者
刘中胜
穆晓东
李露露
武跃峰
Liu Zhong-sheng;Mu Xiao-dong;Li Lu-lu;Wu Yue-feng
出处
《电力系统装备》
2018年第5期91-93,共3页
Electric Power System Equipment
关键词
风能
光伏
分布式储能
主成分分析
聚类分析
评价模型
wind energy
photovoltaic
distributed energy storage
principal component analysis
cluster analysis
evaluation model
