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• W4384695854 abstract "Grid balancing is an essential requirement for power grid systems. This requirement has traditionally been fulfilled by existing flexibility mechanisms that provide voltage and frequency regulation. However, the recent interest in greening the energy supply by using more renewable energy sources presents new grid balancing challenges. To that end, we propose in this thesis new market-based approaches that allow cloud datacenters to be used as managed loads to provide the needed system flexibility. The work presented in this thesis introduces new demand-side management approaches that can provide upward flexibility (to combat the rising frequency of overgeneration events associated with the use of renewable sources) and is compatible with public cloud datacenters (to allow a wider range of datacenters to participate in grid balancing). The proposed systems rely on the idea of migrating the cloud workloads of large-scale cloud customers (cloud brokers, that aggregate the workloads of end-customers) between datacenters to correct energy imbalances. We start with systems that target the overgeneration problem by selling the excess energy at a reduced cost (sold as ``energy credits to differentiate it from energy sold at the regular price) to allow for its quick consumption. The proposed systems start by selling the energy credits at a fixed reduced cost, then using an auction to determine the sale price, and later using a combined auctioning-scheduling optimization formulation to ensure available capacity for the migrated cloud workloads. We then generalize the workload migration idea to provide bidirectional grid flexibility by selling monetary rebates (in an auction) as a reward for migrating cloud workloads. This allows the cloud brokers to compute the value of the reward that they require to migrate their workloads. The rebate (money) is then issued when the migration is completed. Finally, since grid balancing is time-dependent, we propose a method for enhancing the auction revenue for the seller (the grid with energy imbalance) to minimize the amount of rebate used to correct the imbalance within a given timeframe. The proposed systems were shown using simulations to be effective in incentivizing the needed cloud workload migrations and provides positive utility to all system participants." @default.
• W4384695854 created "2023-07-20" @default.
• W4384695854 creator A5052090103 @default.
• W4384695854 date "2023-07-18" @default.
• W4384695854 modified "2023-09-23" @default.
• W4384695854 title "Auction-Based Mechanisms for Power Grid Balancing using Cloud Datacenters" @default.
• W4384695854 doi "https://doi.org/10.22215/etd/2023-15622" @default.
• W4384695854 hasPublicationYear "2023" @default.
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