Conference article

Multi-market optimization of a data center without storage systems

Yangyang Fu
Department of Civil, Architectural and Environmental Engineering, University of Colorado Boulder, USA

Wangda Zuo
Department of Civil, Architectural and Environmental Engineering, University of Colorado Boulder, USA and National Renewable Energy Laboratory, USA

Kyri Baker
Department of Civil, Architectural and Environmental Engineering, University of Colorado Boulder, USA and National Renewable Energy Laboratory, USA

Download articlehttps://doi.org/10.3384/ecp201699

Published in: Proceedings of the American Modelica Conference 2020, Boulder, Colorado, USA, March 23-25, 2020

Linköping Electronic Conference Proceedings 169:1, s. 9-17

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Published: 2020-11-03

ISBN: 978-91-7929-900-2

ISSN: 1650-3686 (print), 1650-3740 (online)

Abstract

Data centers have numerous opportunities to participate in demand response programs considering their large capacities, flexible working environments and work loads, redundant design and operation, etc. Frequency regulation, as one service provided in demand response programs, can also benefits the data centers. This paper aims to develop a real-time multi-market optimization framework for a data center without storage systems to maximize their benefits from participating in both the energy market and the regulation market. Then a case study is conducted to numerically investigate the optimal bids at each hour by considering the energy cost, demand costs, and regulation revenues using a virtual data center located in PJM. Simulation results show that the proposed multi-market optimization framework an help data centers maintain minimum costs by getting maximum regulation revenues while satisfying energy and demand goals.

Keywords

frequency regulation, data center, multi-market optimization

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