
You have already added 0 works in your ORCID record related to the merged Research product.
You have already added 0 works in your ORCID record related to the merged Research product.
<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>
Flexible Ramping Product Procurement in Day-Ahead Markets

Flexible Ramping Product Procurement in Day-Ahead Markets
This article puts forward a methodology for procuring flexible ramping products (FRPs) in the day-ahead market (DAM). The proposed methodology comprises two market passes, the first of which employs a stochastic unit commitment (SUC) model that explicitly evaluates the uncertainty and the intra-hourly and inter-hourly variability of net load so as to minimize the expected total operating cost. The second pass clears the DAM while imposing FRP requirements. The cornerstone of our work is to set the FRP requirements at levels that drive the DAM decisions toward the optimal SUC decisions. Our methodology provides an economic underpinning for the stipulated FRP requirements, and it brings forth DAM awards that reduce the costs toward the expected total cost under SUC, while conforming to the chief DAM design principles. By preemptively considering the dispatch costs before awarding FRPs, it can further avert unexpectedly high costs that could result with the deployment of procured FRPs. We conduct numerical studies and lay out the relative merits of the proposed methodology vis-à-vis selected benchmarks based on various evaluation metrics.
29 pages
- Electric Power Research Institute China (People's Republic of)
- Department of Electrical Engineering and Computer Science University of Michigan United States
- Electric Power Research Institute China (People's Republic of)
- Electric Power Research Institute United States
- University of Oxford United Kingdom
Optimization and Control (math.OC), FOS: Mathematics, FOS: Electrical engineering, electronic engineering, information engineering, Systems and Control (eess.SY), Mathematics - Optimization and Control, Electrical Engineering and Systems Science - Systems and Control
Optimization and Control (math.OC), FOS: Mathematics, FOS: Electrical engineering, electronic engineering, information engineering, Systems and Control (eess.SY), Mathematics - Optimization and Control, Electrical Engineering and Systems Science - Systems and Control
1 Research products, page 1 of 1
- IsRelatedTo
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
