作者: Le Xie , Jhi-Young Joo , Marija D. Ilic
DOI: 10.1109/NAPS.2009.5483997
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摘要: This paper concerns the near-real time supply and demand balancing problem in changing electric energy industry. In particular, potential dispatch problems presence of hard-to-control wind solar power have emerged as key industry concern. Our work evolves around idea that more predictive information about output is known carefully this included dynamically, effective integration intermittent will be. we recognize a combination predicted ahead-of-time knowledge customers' willingness to adjust their consumption at price could result even system-wide balancing. We generalize our recent which based on look-ahead model-predictive control approach integration. A Markov model for predicting used determine optimal amount be sent grid order balance while accounting limiting ramping rates other plants. As expected, utilizing full sub-optimal different technologies needed utilize clean resource fully it made available. Different storage well adaptive demand-side response are such candidates. recently proposed integrate price-responsive demand. show using IEEE 14 bus example benefits from simultaneous both conventional plants characterized by inherently its function. comparison without active adaptation.