Title :
Stochastic resource auctions for renewable energy integration
Author :
Tang, Wenyuan ; Jain, Rahul
Author_Institution :
Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA, USA
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.
Keywords :
power generation economics; power grids; power markets; renewable energy sources; stochastic processes; wind power plants; VCG mechanism; Vickrey-Clarke-Groves mechanism; contracted-payment-plus-penalty payoff structure; electricity market; power grid; power systems economy; renewable energy generator; renewable energy source integration; stochastic resource auction mechanism; wind power generator; Contracts; Electricity; Electricity supply industry; Generators; Renewable energy resources; Stochastic processes; Wind power generation; Renewable energy integration; mechanism design; smart grid; stochastic resource auctions;
Conference_Titel :
Communication, Control, and Computing (Allerton), 2011 49th Annual Allerton Conference on
Conference_Location :
Monticello, IL
Print_ISBN :
978-1-4577-1817-5
DOI :
10.1109/Allerton.2011.6120188