2016/06/21 by Navid Azizan Ruhi, Ruhi, Navid Azizan, Krishnamurthy Dvijotham +5
Computer Science · Engineering · Mathematics · Physics and Astronomy · #Computer Science and Game Theory (cs.GT) #Electric Power System Optimization #FOS: Computer and information sciences #FOS: Mathematics #FOS: Physical sciences #Optimal Power Flow Distribution #Optimization and Control (math.OC) #Physics and Society (physics.soc-ph) #Smart Grid Energy Management #cs.GT #math.OC #physics.soc-ph
paper · pdf · doi:10.48550/arxiv.1606.06510
arxiv created 2016/06/21 · openalex publication_date 2016/06/21 · arxiv updated 2016/06/22 · openalex created_date 2022/08/15 · openalex updated_date 2026/07/28
Aggregators are playing an increasingly crucial role in the integration of renewable generation in power systems. However, the intermittent nature of renewable generation makes market interactions of aggregators difficult to monitor and regulate, raising concerns about potential market manipulation by aggregators. In this paper, we study this issue by quantifying the profit an aggregator can obtain through strategic curtailment of generation in an electricity market. We show that, while the problem of maximizing the benefit from curtailment is hard in general, efficient algorithms exist when the topology of the network is radial (acyclic). Further, we highlight that significant increases in profit are possible via strategic curtailment in practical settings.