Real-time optimal power flow under wind energy penetration-Part II: Implementation

E. Mohagheghi, A. Gabash, Pu Li
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引用次数: 12

Abstract

In this paper (Part II) we implement the prediction-updating approach developed in Part I to address fast changes in wind power generation when solving a complex realtime optimal power flow (RT-OPF) problem. The approach considers essential scenarios around forecasted wind power values in a moving prediction horizon (120 seconds). The individual optimal power flow problems corresponding to these scenarios are solved in parallel using a multi-processor server. Then the operation strategy is updated in a short sampling time (every 20 seconds) considering real wind power values. The RT-OPF problem is formulated considering both technical and economic aspects simultaneously. The RT-OPF is implemented on a 41-bus medium-voltage distribution network with two wind stations. The results show the benefits of the proposed approach and highlight further challenges of RT-OPF.
风能穿透下的实时最优潮流——第二部分:实现
在本文(第二部分)中,我们实现了第一部分中开发的预测更新方法,以解决复杂的实时最优潮流(RT-OPF)问题时风力发电的快速变化。该方法考虑了在移动预测范围(120秒)内预测风电值的基本情况。使用多处理器服务器并行解决了与这些场景相对应的单个最优潮流问题。然后考虑实际风电值,在较短的采样时间内(每20秒)更新运行策略。RT-OPF问题的制定同时考虑了技术和经济两个方面。RT-OPF是在一个带有两个风站的41总线中压配电网上实现的。结果显示了所提出方法的好处,并强调了RT-OPF的进一步挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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