SOC and power deviation control strategy for hybrid generation systems of wind power and energy storage

被引：1

作者：

机构：

[1] Wind Power Research Center, Shanghai Jiao Tong University, Shanghai

[2] Technology Center of Shanghai Electric Power Transmission & Distribution Group, Shanghai

来源：

She, Shensi | 1600年 / Automation of Electric Power Systems Press卷 / 38期

关键词：

Deviation control; Energy storage system (ESS); Power prediction; State of charge (SOC); Time scale; Wind power generation;

D O I：

10.7500/AEPS20131116003

中图分类号：

学科分类号：

摘要：

A new control strategy of energy storage systems (ESSs) based on wind power prediction deviation and battery state of charge (SOC) feedback is proposed. The deviation of wind power variation is calculated through prediction results to get the charge-discharge power of ESSs needed by totally compensating fluctuation. The charge-discharge power orders are then obtained by introducing the compensation factor in the joint solution. Moreover, a dynamic optimizing model of the compensation factor is developed, including the standard compensation factor optimizing model based on output power fluctuation and battery capacity changing value and the compensation factor fast-modification model based on battery SOC and charge-discharge status under short-time scale. The optimal solution and SOC value used in the proposed algorithm have a high adaptation level, which can generalize ESSs of different capacities in the application of wind power smoothing and give consideration to the lifetime of battery and smoothness of wind power. Finally, a case study is made that describes simulations with the historical power data on wind farm and ESSs configuration taken into account. The results have proved that the control strategy is able to develop the capacity of ESSs to the full and reduce the fluctuation of wind farm power on the premise that the energy capacity of battery is maintained stable. © 2014 State Grid Electric Power Research Institute Press

引用

页码：9 / 17

页数：8

共 19 条

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