Planning curtailment of renewable generation in power grids

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Abstract

The increasing penetration of renewable sources like solar energy add new dimensions in planning power grid operations. We study the problem of curtailing a subset of prosumers generating solar power with the twin goals of being close to a target collection and maintaining fairness across prosumers. The problem is complicated by the uncertainty in the amount of energy fed-in by each prosumer and the large problem size in terms of number of prosumers. To meet these challenges, we propose an algorithm based on the Combinatorial Multi-Armed Bandit problem with an approximate Knapsack based oracle. With real-data on solar panel output across multiple prosumers, we are able to demonstrate the effectiveness of the proposed algorithm.

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APA

Bandyopadhyay, S., Kumar, P., & Arya, V. (2016). Planning curtailment of renewable generation in power grids. In Proceedings International Conference on Automated Planning and Scheduling, ICAPS (Vol. 2016-January, pp. 353–357). Association for the Advancement of Artificial Intelligence. https://doi.org/10.1609/icaps.v26i1.13779

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