NDLI: Stochastic resource auctions for renewable energy integration

Content Provider	IEEE Xplore Digital Library
Author	Wenyuan Tang Jain, R.
Copyright Year	2011
Description	Author affiliation: Department of Electrical Engineering, University of Southern California (Wenyuan Tang) \|\| EE & ISE Departments, University of Southern California (Jain, R.)
Abstract	Among the many challenges of integrating renewable energy sources into the the existing grid, is the challenge of integrating renewable energy generators into the power systems economy. Electric markets currently are run in a way that participating generators must supply contracted amounts. And yet, renewable energy generators such as wind power generators cannot supply contracted amounts with certainty. Thus, alternative market architectures must be considered where there are “aggregator” entities who participate in the electricity market by buying power from the renewable energy generators, and assuming risk of any shortfall from contracted amounts. In this paper, we propose auction mechanisms that can be used by the aggregators for procuring stochastic resources, such as wind power. The nature of stochastic resources is different from classical resources in that such a resource is only available stochastically. The distribution of the generation is private information, and the system objective is to truthfully elicit such information. We introduce a variant of the VCG mechanism for this problem. We also propose a non-VCG mechanism with a contracted-payment-plus-penalty payoff structure. We show generalization of the mechanisms to general objective functions, as well as multiple winners. We then consider the setting where the generators need to fulfill any shortfall from the contracted amount by buying from the spot market.
Starting Page	345
Ending Page	352
File Size	553102
Page Count	8
File Format	PDF
ISBN	9781457718175
e-ISBN	9781457718182
DOI	10.1109/Allerton.2011.6120188
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-09-28
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	smart grid Electricity Renewable energy resources Stochastic processes stochastic resource auctions Wind power generation Electricity supply industry Renewable energy integration Generators mechanism design Contracts
Content Type	Text
Resource Type	Article

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