Guo, Caishan, Luo, Fengji, Yang, Jiajia, and Cai, Zexiang (2023) Transactive Operational Framework for Internet Data Centers in Geo-Distributed Local Energy Markets. IEEE Transactions on Cloud Computing, 11 (2). pp. 1133-1143.

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Abstract

Internet data centers (IDCs), which can regulate the spatial and temporal load distribution, and manage on-site energy resources, are promising candidates to enhance the connected distribution network's operation. The recent emergence of local energy trading provides a new opportunity for IDCs to trade energy with end energy customers in low-voltage distribution networks and enhance their operational energy efficiency, and this has not been well investigated in the literature. Motivated by this, this paper proposes a two-stage transactive operation framework for a group of geo-distributed IDCs to engage in local energy markets. In the first stage, an ex-ante bidding model is proposed, which optimally schedules the IDCs’ cyber-energy resources (computing requests and on-site battery energy storage system) and determines energy trading prices in the local energy markets. The bidding model aims to minimize the cloud service provider (CSP)’s total cost. In the second stage, a real-time energy balancing model is proposed to adjust the IDCs’ energy volumes and faciliate them to offer energy balancing services to the power distribution networks in terms of alleviating energy supply-demand imbalances. The coupling relationship among the IDCs’ operation strategies, energy trading prices, and energy balancing signals are modeled in the framework. Extensive numerical case studies are implemented to demonstrate the effectiveness of the proposed framework. The simulation results show that the framework can reduce a considerable proportion of total operation cost for networked IDCs and can facilitate the CSP to effectively assist power distribution networks in balancing the energy supply and demand in real-time operation.

Item ID:	78128
Item Type:	Article (Research - C1)
ISSN:	2168-7161
Keywords:	Cloud computing, Costs, Renewable energy sources, Data centers, Computational modeling, Real-time systems, Distribution networks
Copyright Information:	© Copyright 2023 IEEE - All rights reserved.
Funders:	Australian Research Council (ARC)
Projects and Grants:	ARC DP220103881
Date Deposited:	18 Apr 2023 02:26
FoR Codes:	49 MATHEMATICAL SCIENCES > 4903 Numerical and computational mathematics > 490304 Optimisation @ 40% 46 INFORMATION AND COMPUTING SCIENCES > 4606 Distributed computing and systems software > 460603 Cyberphysical systems and internet of things @ 30% 38 ECONOMICS > 3802 Econometrics > 380203 Economic models and forecasting @ 30%
SEO Codes:	22 INFORMATION AND COMMUNICATION SERVICES > 2201 Communication technologies, systems and services > 220105 Network systems and services @ 30% 22 INFORMATION AND COMMUNICATION SERVICES > 2204 Information systems, technologies and services > 220402 Applied computing @ 30% 22 INFORMATION AND COMMUNICATION SERVICES > 2204 Information systems, technologies and services > 220408 Information systems @ 40%
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