Mechanism Designs for Stochastic Resources for Renewable Energy Integration
Wenyuan Tang, Rahul Jain

TL;DR
This paper develops auction mechanisms for integrating stochastic renewable energy resources into power markets, focusing on truthful information elicitation and risk management for aggregators dealing with uncertain wind power generation.
Contribution
It introduces a variant of the VCG mechanism and a non-VCG mechanism tailored for stochastic renewable resources, addressing private information and market risk challenges.
Findings
Proposed auction mechanisms ensure truthful reporting of stochastic resource distributions.
Demonstrated the complexity of auction design with multiple player classes.
Analyzed alternative market architectures involving spot market procurement.
Abstract
Among the many challenges of integrating renewable energy sources into the existing power grid, is the challenge of integrating renewable energy generators into the power systems economy. Electricity 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…
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Taxonomy
TopicsSmart Grid Energy Management · Electric Power System Optimization · Auction Theory and Applications
