电力系统及其自动化学报2019，Vol.31Issue(3)：35-41,49,8.DOI:10.19635/j.cnki.csu-epsa.000025
基于小波分析的光伏电站储能容量优化方法
Optimization Method for Energy Storage Capacity of Photovoltaic Power Station Based on Wavelet Analysis
摘要
Abstract
The inherent randomness and intermittency of photovoltaic(PV)power generation seriously affect the safe and stable operation of power system. To improve the system stability,an optimization method for the energy storage ca?pacity of a PV power station based on wavelet analysis is proposed in this paper. According to different impacts of PV power output fluctuations on the system,this method uses wavelet analysis to decompose and reconstruct the output power deviation of the PV power station on multiple scales,and the low-frequency signal with mild fluctuations in multi?ple layers and the high-frequency signal with strong fluctuations are obtained,thus the signal’s frequency band is pre?cisely subdivided;the time-frequency conversion of reconstructed signals is performed using fast Fourier transform (FFT),and the control requirements of the PV power station for different time responses are obtained. According to the frequency spectrum analysis,the energy storage configuration of the PV power station is determined to smooth the out?put power fluctuations. Simulation results show that the proposed method can smooth the power fluctuations of the PV power station with a smaller energy storage capacity,and make the actual output power agree with the plan. This meth?od greatly improves the controllability of the PV power generation and makes the large-scale PV grid connection possi?ble in the future.关键词
光伏发电/小波分析/功率平滑/储能配置Key words
photovoltaic(PV)power generation/wavelet analysis/power smoothing/energy storage configuration分类
信息技术与安全科学引用本文复制引用
李滨,高崇杰,吴思缘..基于小波分析的光伏电站储能容量优化方法[J].电力系统及其自动化学报,2019,31(3):35-41,49,8.基金项目
国家自然科学基金资助项目(51507098) （51507098）
上海市电站自动化技术重点实验室项目(13DZ2273800) （13DZ2273800）
