摘要
提出了一种基于模型预测控制(MPC)和低通滤波(LPF)原理的实时平抑长短期风电功率波动的风储协调运行方法。首先,该方法利用风电场发电功率预测曲线,综合考虑优化时域内实际并网功率的平滑效果、储能荷电状态(SOC)、储能出力以及相关约束,通过每15min的滚动计算来实现对储能系统的优化控制。然后,建立了MPC与LPF两种原理的联系,推导了对常规LPF原理进行补偿的计算公式,使得储能SOC变化能够跟踪MPC设定的优化轨迹。算例分析表明,新方法既能够有效平抑1min和10min的短期风电功率波动,又能在15min^4h的时间尺度上,有效控制储能SOC的变化范围。
To smooth the long-term and short-term wind power fluctuations,a new coordination operation method of wind power and energy storage hybrid system based on the model predictive control (MPC) and low pass filter(LPF) is proposed. Based on the wind power forecasting results,the receding optimization is utilized to control the energy storage system every 1 5 min while a number of constraints are considered,such as the smoothing effects of grid-connected power,the state-of-charge (SOC) of the energy storage system and so on.Furthermore,the connection of MPC and LPF is established by compensating for the traditional LPF to ensure that the SOC catches up with the optimization track set by MPC.Finally, simulation studies demonstrate that the new method can not only smooth the 1 min and 10 min short-term fluctuations,but also control the SOC range in the 1 5 min to 4 h long-term time scales.
出处
《电力系统自动化》
EI
CSCD
北大核心
2015年第8期12-18,共7页
Automation of Electric Power Systems
基金
国家科技支撑计划资助项目(2013BAA01B04)~~
关键词
风力发电
电池储能系统
功率波动
模型预测控制
低通滤波
wind power generation
battery energy storage system(BESS)
power fluctuation
model predictive control(MPC)
low pass filter(LPF)
