基于风电场集中储能的风储柔性控制策略研究
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(1.山西大学自动化系, 山西 太原030013;2.大唐山西新能源有限公司, 山西 太原030032; 3.山西省电力公司,山西 太原030001)

作者简介:

贾成真(1989—),男,硕士,通信作者,主要研究方向为风储协调并网控制;E-mail:1059199241@qq.com
王灵梅(1964—),女,博士,教授,主要研究方向为新能源优化控制、电网智能调度;E-mail:wanglingmei08@ 163.com
孟恩隆(1965—),男,学士,工程师,主要研究方向为智能电网。E-mail:tymj52@163.com

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基金项目:

山西省煤基重点科技攻关项目(MD2014-06); 山西省大规模储能技术及产业化研究课题(201603D112004)


Research on flexible control strategy based on the centralized storage joint with wind farm
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(1.Department of Automation Engineering, Shanxi University, Taiyuan 030013, China;2. Datang Shanxi New Energy Co., Ltd, Taiyuan 030032, China;3. Shanxi Electric Power Company, Taiyuan 030001, China)

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    摘要:

    为了平抑风电波动并且保证储能荷电状态(SOC)跟踪给定目标值,针对风储协调优化控制,给出了一种风储多时间尺度的柔性控制策略。首先,采用正态分布的方法分析了风储的容量配比。其次,采用带死区的滑动平均值滤波算法对风电场分钟级运行数据进行平滑,利用模型预测控制(MPC)原理,结合风电场超短期风功率预测数据,实现了储能小时级充放电功率的滚动优化。最后,在Matlab中搭建了钒液流电池模型和柔性控制策略模型,采用风电场的实际运行数据对模型进行了仿真验证。仿真结果表明,风储柔性控制策略是正确和有效的,在降低风电波动的同时又能保证储能SOC不偏离目标值。

    Abstract:

    In order to stabilize the fluctuation of wind power and guarantee the energy storage state (SOC) to track a given target value, a multiple time-scale flexible control strategy is proposed for the coordinated optimization control. Firstly, the normal distribution method is used to analyze the capacity ratio of wind farm and energy storage; secondly, the moving average filter algorithm with dead zone is used to smooth the wind farm real-time data, the short-term power forecasting data of wind farm is used to achieve rolling optimization of energy storage charge-discharge power based on the principle of Model Predictive Control (MPC); finally, a vanadium redox flow battery model and flexible control strategy model are built in Matlab, the wind farm operation data is used to verify the model. The simulation results verify the correctness and effectiveness of this method which can not only avoid the fluctuation of wind power, but also ensure the energy storage SOC does not deviate from the target value. This work is supported by Coal-based Key Scientific and Technological Projects of Shanxi Province (No. MD2014-06) and the Large-scale Energy Storage Technology and Industrialization Research Subject in Shanxi Province (No. 201603D112004).

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贾成真,王灵梅,孟恩隆,等.基于风电场集中储能的风储柔性控制策略研究[J].电力系统保护与控制,2018,46(6):30-37.[JIA Chengzhen, WANG Lingmei, MENG Enlong, et al. Research on flexible control strategy based on the centralized storage joint with wind farm[J]. Power System Protection and Control,2018,V46(6):30-37]

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  • 收稿日期:2017-03-07
  • 最后修改日期:2017-06-26
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  • 在线发布日期: 2018-03-16
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