基于超短期风电预测和混合储能的风电爬坡优化控制  

Optimal Control of Wind Ramp Based on Very Short-Term Wind Forecast and Hybrid ESS

作　　者：何川[1] 刘天琪[1] 胡晓通 李茜[1] 李兴源[1] 

机构地区：[1]四川大学电气信息学院,四川省成都市610065

出　　处：《电网技术》2017年第3期782-790,共9页Power System Technology

基　　金：四川省科技支撑计划项目(2016GZ0143)~~

摘　　要：风电爬坡对电力系统运行的经济性和可靠性有较大的影响,也是对电网造成冲击的重要因素之一,如何减小风电爬坡时的功率波动对电网的冲击成为国内外研究热点。为风电场配备储能系统能够有效抑制风电爬坡时的功率波动。为此,提出一种基于风电功率超短期预测和混合储能系统实现平抑功率在电池和超级电容器之间有效分配方法。首先通过奇异值分解理论风电爬坡事件,提出混合储能系统的动态最佳荷电状态,以使储能设备更好地平抑下一时段风电功率波动。考虑未来风电功率及其预测误差,根据超前充放电控制策略对储能设备当前充放电进行修正,并给出了提前充放电修正公式。仿真结果表明,该方法及其控制策略能有效抑制风电爬坡的功率波动,从而减小风电爬坡事件对电网的冲击,并且能够充分提高混合储能设备的利用效率。Wind ramp event（WRE） influences economy and reliability of power system and is a factor causing impact on power grid. Reducing WRE impact on power system becomes a research focus worldwide. Energy storage system（ESS） can mitigate WRE caused power fluctuation. The paper proposes a look-ahead optimal WRE control based on very short-term wind power forecast and hybrid ESS. Effective distribution of mitigating power between battery and super capacitor is achieved with singular value decomposition theory. Dynamic optimal ESS state of charge is proposed specifically for WRE. Considering wind power forecast and its error, present ESS charge or discharge is revised by look-ahead charge or discharge control strategy. Equation calculating look-ahead charge or discharge power is given. Simulation results show that the proposed strategy can mitigate WRE caused fluctuation, thus reducing WRE impact on power system and improving hybrid ESS efficiency.

关 键 词：风电爬坡事件 功率波动 超短期预测 混合储能系统 荷电状态 超前控制策略 

分 类 号：TM715[电气工程—电力系统及自动化]