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An optimization framework for data centers to minimize electric bill under day-ahead dynamic energy prices while providing regulation services

Majid Ghasemi-Gol, Yanzhi Wang, Massoud Pedram
2014 International Green Computing Conference  
This paper considers a problem whereby the smart grid employs both day-ahead dynamic energy prices and regulation signals to incentivize (cloud) data centers to simultaneously reduce their energy consumptions  ...  A data center controller schedules task dispatch and performs resource allocation in order to minimize the overall cost, which is the total electricity cost based on time-of-use energy prices minus any  ...  The data center participates in a power regulation program in which it receives day-ahead energy prices and a regulation signal which dynamically sets regulation target and constraints for power consumption  ... 
doi:10.1109/igcc.2014.7039179 dblp:conf/green/Ghasemi-GolWP14 fatcat:bgo4adnxobc2fmjevgprn646ka

Using Battery Storage for Peak Shaving and Frequency Regulation: Joint Optimization for Superlinear Gains [article]

Yuanyuan Shi and Bolun Xu and Di Wang and Baosen Zhang
2017 arXiv   pre-print
Under this framework, using real data we show the electricity bill of users can be reduced by up to 15\%.  ...  jointly provide multiple services.  ...  DATA CENTER UNDER FOUR SCENARIOS: ORIGINAL BILL, BILLS AFTER PROVIDING FREQUENCY REGULATION SERVICE, PEAK SHAVING, AND JOINT OPTIMIZATION.  ... 
arXiv:1702.08065v3 fatcat:o4qj2nlrxrgplavqyanbvdbu2y

A Comprehensive Review of Recent Advances in Smart Grids: A Sustainable Future with Renewable Energy Resources

Ibrahim Alotaibi, Mohammed A. Abido, Muhammad Khalid, Andrey V. Savkin
2020 Energies  
The main intent of the study is to provide an application-focused survey where every category and sub-category herein are thoroughly and independently investigated.  ...  The smart grid is an unprecedented opportunity to shift the current energy industry into a new era of a modernized network where the power generation, transmission, and distribution are intelligently,  ...  Khalid would like to acknowledge the funding support provided by the King Abdullah City for Atomic and Renewable Energy (K.A. CARE) and I.  ... 
doi:10.3390/en13236269 fatcat:xghjfavo45epdn6oq62bdnzgw4

Recent Challenges and Methodologies in Smart Grid Demand Side Management: State-of-the-Art Literature Review

Tehreem Nasir, Syed Sabir Hussain Bukhari, Safdar Raza, Hafiz Mudassir Munir, Muhammad Abrar, Hafiz Abd ul Muqeet, Kamran Liaquat Bhatti, Jong-Suk Ro, Rooha Masroor, Qiuye Sun
2021 Mathematical Problems in Engineering  
Demand side management (DSM) is one of the crucial aspects of smart grid that provides users with the opportunity to optimize their load usage pattern to fill the gap between energy supply and demand and  ...  Utilities can implement DSM programs to improve the system power quality, power reliability, system efficiency, and energy efficiency, while consumers can experience energy savings, reduction in peak demand  ...  based on day-ahead dynamic pricing and renewable generation forecasting.  ... 
doi:10.1155/2021/5821301 fatcat:fybqx2uvvrfrfmsizc3p5bg5jq

Multi-stage Power Scheduling Framework for Data Center with Chilled Water Storage in Energy and Regulation Markets [article]

Yangyang Fu, Xu Han, Jessica Stershic, Wangda Zuo, Kyri Baker, Jianming Lian
2020 arXiv   pre-print
Then, a three-stage multi-market scheduling framework based on a model predictive control scheme is developed to minimize operational costs of data centers participating in both energy and regulation markets  ...  This paper proposes a synergistic control strategy for the data center with a chilled water storage providing frequency regulation service by adjusting the chiller capacity, storage charging rate, and  ...  This allows data centers to provide demand response for the power grid while meeting the electrical demand of the data center.  ... 
arXiv:2007.09770v1 fatcat:whqq5nmp2zaw3pzkiqjx65dyiu

On Coordination of Smart Grid and Cooperative Cloud Providers [article]

Monireh Mohebbi Moghaddam, Mohammad Hossein Manshaei, Mehdi Naderi Soorkiy, Walid Saadz, Maziar Goudarzi, Dusit Niyato
2020 arXiv   pre-print
Given the dynamic of cloud providers in the federation formation process, an optimization model based on a constrained Markov decision process (CMDP) has been used by the smart grid to achieve the optimal  ...  In the second stage, cloud providers cooperatively manage their workload to minimize their electricity costs.  ...  prices [16] Joint inter-and intra-data center workload management NA Minimizing energy cost NA Constrained nonlinear optimization NA [65] Dynamic pricing negotiation Dynamic pricing  ... 
arXiv:2003.13675v1 fatcat:yq4rm77kczd6nhu4fhc57r6tye

Cutting the electric bill for internet-scale systems

Asfandyar Qureshi, Rick Weber, Hari Balakrishnan, John Guttag, Bruce Maggs
2009 Proceedings of the ACM SIGCOMM 2009 conference on Data communication - SIGCOMM '09  
Energy expenses are becoming an increasingly important fraction of data center operating costs.  ...  Starting with historical electricity prices, for twenty nine locations in the US, and network traffic data collected on Akamai's CDN, we use simulation to quantify the possible economic gains for a realistic  ...  This work was supported in part by Nokia, and by the National Science Foundation under grant CNF-0435382.  ... 
doi:10.1145/1592568.1592584 dblp:conf/sigcomm/QureshiWBGM09 fatcat:sikxxyzvvff6be2g4w2spl53ci

Coordinated Energy Cost Management of Distributed Internet Data Centers in Smart Grid

Lei Rao, Xue Liu, Le Xie, Wenyu Liu
2012 IEEE Transactions on Smart Grid  
In this paper, we investigate an important and emerging problem of minimizing the total electricity cost for IDC while maintaining the quality of data center service under a multi-electricity-market environment  ...  service providers save a lot in their electricity bill.  ... 
doi:10.1109/tsg.2011.2170100 fatcat:gx76xbu74ncsrit5kkxxpef7hq

Cutting the electric bill for internet-scale systems

Asfandyar Qureshi, Rick Weber, Hari Balakrishnan, John Guttag, Bruce Maggs
2009 Computer communication review  
Energy expenses are becoming an increasingly important fraction of data center operating costs.  ...  Starting with historical electricity prices, for twenty nine locations in the US, and network traffic data collected on Akamai's CDN, we use simulation to quantify the possible economic gains for a realistic  ...  This work was supported in part by Nokia, and by the National Science Foundation under grant CNF-0435382.  ... 
doi:10.1145/1594977.1592584 fatcat:6splogrrljb2zburlpo4qho4qq

Dynamic Price Vector Formation Model-Based Automatic Demand Response Strategy for PV-Assisted EV Charging Stations

Qifang Chen, Fei Wang, Bri-Mathias Hodge, Jianhua Zhang, Zhigang Li, Miadreza Shafie-Khah, Joao P. S. Catalao
2017 IEEE Transactions on Smart Grid  
The charging process is modeled as a Dynamic Linear Program (DLP) instead of the normal day-ahead and real-time regulation strategy, to capture the advantages of both global and real-time optimization.  ...  Different from conventional price forecasting algorithms, a Dynamic Price Vector Formation Model (DPVFM) is proposed based on a clustering algorithm to form a RTP vector for a particular day.  ...  Concerning ancillary service provision, EVs may also need to work in V2G mode to provide voltage and frequency regulation services to the grid under market mechanisms.  ... 
doi:10.1109/tsg.2017.2693121 fatcat:exnr4bjbd5hjtfbk4a2xkz7wu4

A framework for home energy management and its experimental validation

Antimo Barbato, Antonio Capone, Giuliana Carello, Maurizio Delfanti, Davide Falabretti, Marco Merlo
2014 Energy Efficiency  
All the main elements of the framework are considered, and contributions are provided on the users' habits profiling, electricity generation forecast, energy load, and storage optimization.  ...  This paper proposes a framework for the development of a complete energy management system for individual residential units and small communities of domestic users, taking into account both the power system  ...  The study shows that it is possible to reduce the energy bill of residential users through the electricity optimization driven by dynamic energy prices.  ... 
doi:10.1007/s12053-014-9269-3 fatcat:z6enupeyurblbgl33pm36az4mi

On The Fundamental Energy Trade-offs of Geographical Load Balancing

Abbas Kiani Kiani, Nirwan Ansari
2017 IEEE Communications Magazine  
Geographical load balancing can optimize the utilization of green energy and the cost of electricity by taking the advantages of green and price diversities at geographical dispersed data centers.  ...  The achievable energy tradeoffs can be captured by taking into consideration of a defined service efficiency parameter for geo-dispersed data centers.  ...  For example, the day-ahead prices are usually revealed several hours up to one day in advance while the real-time prices are known only a few minutes in advance.  ... 
doi:10.1109/mcom.2017.1600787 fatcat:nxprhijrjvenrbvdpmaz7qid4a

Energy and Information Management of Electric Vehicular Network: A Survey

Nan Chen, Miao Wang, Ning Zhang, Xuemin Shen
2020 IEEE Communications Surveys and Tutorials  
We first introduce the management framework of EVN. Then, research works on the EV aggregator (AG) deployment are reviewed to provide energy and information infrastructure for the EVN.  ...  In this paper, we provide a comprehensive survey on the deployment and management of EVN considering all three aspects of energy flow, data communication, and computation.  ...  [159] considers a day-ahead pricing scheme for residential demand response to schedule EVs and renewable sources, aiming to minimize both residential electricity bill and fluctuating load profile.  ... 
doi:10.1109/comst.2020.2982118 fatcat:n2mjpgjhebetzj2rs6dfzct3fy

A Survey on Demand Response Programs in Smart Grids: Pricing Methods and Optimization Algorithms

John S. Vardakas, Nizar Zorba, Christos V. Verikoukis
2015 IEEE Communications Surveys and Tutorials  
The smart grid concept continues to evolve and various methods have been developed in order to enhance the energy efficiency of the electricity infrastructure.  ...  DR refers to a procedure that is applied to motivate changes in the customers' power consumption habits, in response to incentives regarding the electricity prices.  ...  A V2G system is able to provide energy and ancillary services from an electric vehicle to the grid.  ... 
doi:10.1109/comst.2014.2341586 fatcat:fmcjmwp3pbgvfm3j4rtky4xnnm

Time-based pricing and electricity demand response: Existing barriers and next steps

Cherrelle Eid, Elta Koliou, Mercedes Valles, Javier Reneses, Rudi Hakvoort
2016 Utilities Policy  
End-users can be incentivized to provide DR through time-based pricing in general and dynamic pricing in particular.  ...  Interest in Demand Response (DR) is increasing due to its potential to improve reliability and save costs for electricity systems.  ...  The authors would like to express their gratitude towards all partner institutions within the program as well as the European Commission for their support.  ... 
doi:10.1016/j.jup.2016.04.001 fatcat:qglfvmtdc5hrzgtb53csztfoyy
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