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引用次数: 0

摘要

为了应对可再生能源的随机性带来的挑战,一些活动已经开始:FERC第755号命令要求iso向频率调节提供商引入里程支付,以获得更可靠和高质量的服务。这笔费用目前正在从iso处收取,尽管事实上并不是iso造成了这笔额外的费用。因此,我们认为现在是重新考虑公平分摊费用的时候了。特别是,我们研究了引入相应的“里程成本”对可再生能源造成系统波动的影响。我们首先用对无限视界的完美预测来表述这个问题。然后,我们通过将我们的知识限制在一个窗口内来研究信息的作用,即模型预测控制(MPC)方法。我们证明了MPC方法可以达到接近最优的性能,并进一步表征了性能保证。最后,我们提出了一种分层控制方法来启动关于共享、协调和隐私的讨论。
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Who Should Pay for the Mileage Payment?
To tackle the challenges brought by the renewable’s stochastic nature, activities have been picked up: FERC order 755 requires ISOs to introduce mileage payment to frequency regulation providers for more reliable and high quality services. This payment is currently being collected from the ISOs despite the fact that it is not ISOs who cause this extra payment. Therefore, we submit that it is time to reconsider a fair cost allocation. In particular, we study the impact of introducing the corresponding ‘mileage cost’ to the renewables for causing fluctuations in the system. We start by formulating the problem with perfect forecasting for an infinite horizon. Then, we investigate the role of information by restricting our knowledge within a window, i.e., the Model Predictive Control (MPC) approach. We prove that the MPC approach can achieve near optimal performance and further characterize the performance guarantee. Finally, we propose a hierarchical control approach to initiate the discussion on sharing, coordination, and privacy.
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