基于超短期风预报的蓄风混合系统滚动协调控制

Yanhong Wang, N. Tai, Wentao Huang, Shuo Liang
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引用次数: 4

摘要

为充分利用蓄电池储能,提出了一种基于超短期风力预报的蓄风混合系统滚动协调控制方案。其总体目的是在缓解风电波动的同时补偿预报误差。该方案首先利用粒子群优化算法对风电平滑中的滤波系数进行优化。利用超短风电功率预测和电池荷电状态(SOC)建立优化模型。基于最优平滑风电功率对预测误差进行了进一步修正。提出了一种基于有源能量反馈的协调控制方案,对电池输出功率进行整流。仿真结果表明,该方法能够有效地缓解风力发电的波动。同时提高了混合系统对预测功率的跟踪性能。此外,通过预充预放电,可以很好地动态调节电池的荷电状态,提高电池的长期使用能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Rolling coordination control of the wind-storage hybrid system based on the ultra-short term wind forecast
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.
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