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An Iterative On-Line Auction Mechanism for Aggregated Demand-Side Participation
This paper considers a demand-side aggregation scheme specifically for large numbers of small-loads, such as households and small- and medium-sized businesses. We introduce a novel auction format, called a staggered clock-proxy auction (SCPA), for on-line scheduling of these loads. This is a two pha...
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Published in: | IEEE transactions on smart grid 2017-01, Vol.8 (1), p.158-168 |
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Main Authors: | , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | This paper considers a demand-side aggregation scheme specifically for large numbers of small-loads, such as households and small- and medium-sized businesses. We introduce a novel auction format, called a staggered clock-proxy auction (SCPA), for on-line scheduling of these loads. This is a two phase format, consisting of a sequence of overlapping iterative ascending price clock auctions, one for each time-slot over a finite decision horizon, and a set of proxy auctions that begin at the termination of each individual clock auction, and which determine the final price and allocation for each time-slot. The overlapping design of the clock phases grant bidders the ability to effectively bid on intertemporal bundles of electricity use, thereby focusing on the most-relevant parts of the price-quantity space. Since electricity is a divisible good, the proxy auction uses demand-schedule bids, which the aggregator uses to compute a uniform-price competitive equilibrium for each time-slot. We show that, under mild assumptions on the bidders' utilities functions, the proxy phase implements the Vickrey-Clarke-Groves allocation, which makes straightforward bidding in the proxy phase a Bayes-Nash equilibrium. Furthermore, we demonstrate the SCPA in a scenario comprised of household agents with three different utility function types, and show how the mechanism improves the efficiency of on-line energy use scheduling. |
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ISSN: | 1949-3053 1949-3061 |
DOI: | 10.1109/TSG.2015.2457905 |