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Rolling coordination control of the wind-storage hybrid system based on the ultra-short term wind forecast

机译:基于超短短期风预报的卷流混合动力系统轧制配合控制

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To make full use of the battery storage, this paper proposes a rolling coordination control scheme of the wind-storage hybrid system based on the ultra-short term wind forecast. The whole aim is to alleviate the wind power fluctuation and to compensate the forecast error simultaneously. The scheme starts with optimizing the filter coefficient (FC) applied for wind power smoothing with particle swarm optimization (PSO) algorithm. The ultra-short wind power forecast and the battery state of charge (SOC) are employed to generate the optimization model. Further amendment of the forecast error is performed based on the optimal smoothed wind power. A coordination control scheme with active energy feedback to rectify battery output power is put forward. The simulation results indicate that the proposed method is capable of mitigating wind power fluctuation. Meanwhile the performance of the hybrid system in tracking the forecast power is enhanced. Besides, by means of pre-charge and pre-discharge, the SOC of the battery can be well dynamically regulated, which promotes its long term in-service capability.
机译:为了充分利用电池储存,本文提出了基于超短短期风预测的卷入混合动力系统轧制配合控制方案。整个目标是缓解风力波动并同时补偿预测误差。该方案开始于优化施加有粒子群优化(PSO)算法的风电平滑的滤波器系数(FC)。采用超短风力预测和电池充电状态(SOC)来产生优化模型。基于最佳平滑的风力,执行预测误差的进一步修正。提出了一种具有激活能量反馈来整流电池输出电源的协调控制方案。仿真结果表明该方法能够减轻风力波动。同时,增强了混合系统在跟踪预测电力时的性能。此外,通过预充电和预放电,电池的SOC可以很好地调节,这促进了其长期的服务能力。

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