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首页> 外文期刊>Renewable Power Generation, IET >Two-stage optimal MPC for hybrid energy storage operation to enable smooth wind power integration
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Two-stage optimal MPC for hybrid energy storage operation to enable smooth wind power integration

机译：用于混合能量存储操作的两阶段最优MPC，使风力流畅集成

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摘要

The large-scale penetration of wind generation imposes challenges on the security of power system operation due to the intermittency and stochastic volatility. Hybrid energy storage system (HESS), which combines battery banks and super-capacitors, is applied in this study to smooth wind fluctuations to facilitate the grid-friendly integration. To optimally schedule HESS charge/discharge in an online receding horizon, a novel two-stage model predictive control (MPC) scheme is proposed. The first stage determines the initial charge/discharge profiles for battery banks at a large time scale, while the second stage quantifies the optimal amendment to update them and determines the operation strategies for super-capacitors at a smaller time scale. According to the rolling update of wind forecasting, the two-stage model is successively solved in a receding horizon to generate the most appropriate operation strategies. The proposed method also optimises the state of charge of HESS, yielding sufficient margin to cope with wind uncertainties, making HESS operation more reliable and robust. The case study demonstrates that the proposed model can enable an effective smoothing effect on wind generation volatility by fully utilising energy storage systems of various distinct characteristics, providing a powerful tool to facilitate the smooth integration in a large scale in practice.
机译：由于间歇性波动性，风发电的大规模渗透对电力系统运行的安全性造成挑战。将电池组和超级电容器结合的混合能储能系统（HESS）应用于本研究以平稳风波动，以方便友好的集成。为了在在线后退地平线中最佳地安排Hess充电/放电，提出了一种新型的两级模型预测控制（MPC）方案。第一阶段以大的时间尺度确定电池组的初始充电/放电轮廓，而第二级定量了最佳修正以更新它们，并以较小的时间尺度确定超级电容器的操作策略。根据风预测的轧制更新，两级模型在后退地平线中连续解决，以产生最适合的操作策略。该方法还优化了HESS的充电状态，产生足够的边距来应对风不确定性，使HESS运行更可靠和稳健。案例研究表明，所提出的模型可以通过充分利用各种不同特性的能量存储系统来实现有效的平滑效果，提供了一种强大的工具，以便在实践中以大规模的平滑集成。

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