Strategies for Datacenters Participating in Demand Response by Two-Stage Decisions
Modern smart grids have proposed a series of demand response (DR) programs and encourage users to participate in them with the purpose of maintaining reliability and efficiency so as to respond to the sustainable development of demand-side management. As a large load of the smart grid, a datacenter...
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| Veröffentlicht in: | Mathematical problems in engineering 2020, Vol.2020 (2020), p.1-15 |
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| container_title | Mathematical problems in engineering |
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| creator | Li, Yuling Luo, Peicong Wang, Xiaoying |
| description | Modern smart grids have proposed a series of demand response (DR) programs and encourage users to participate in them with the purpose of maintaining reliability and efficiency so as to respond to the sustainable development of demand-side management. As a large load of the smart grid, a datacenter could be regarded as a potential demand response participant. Encouraging datacenters to participate in demand response programs can help the grid to achieve better load balancing effect, while the datacenter can also reduce its own power consumption so as to save electricity costs. In this paper, we designed a demand response participation strategy based on two-stage decisions to reduce the total cost of the datacenter while considering the DR requirements of the grid. The first stage determines whether to participate in demand response by predicting real-time electricity prices of the power grid and incentive information will be sent to encourage users to participate in the program to help shave the peak load. In the second stage, the datacenter interacts with its users by allowing users to submit bid information by reverse auction. Then, the datacenter selects the tasks of the winning users to postpone processing them with awards. Experimental results show that the proposed strategy could help the datacenter to reduce its cost and effectively meet the demand response requirements of the smart grid at the same time. |
| doi_str_mv | 10.1155/2020/5206082 |
| format | Article |
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As a large load of the smart grid, a datacenter could be regarded as a potential demand response participant. Encouraging datacenters to participate in demand response programs can help the grid to achieve better load balancing effect, while the datacenter can also reduce its own power consumption so as to save electricity costs. In this paper, we designed a demand response participation strategy based on two-stage decisions to reduce the total cost of the datacenter while considering the DR requirements of the grid. The first stage determines whether to participate in demand response by predicting real-time electricity prices of the power grid and incentive information will be sent to encourage users to participate in the program to help shave the peak load. In the second stage, the datacenter interacts with its users by allowing users to submit bid information by reverse auction. Then, the datacenter selects the tasks of the winning users to postpone processing them with awards. Experimental results show that the proposed strategy could help the datacenter to reduce its cost and effectively meet the demand response requirements of the smart grid at the same time.</description><identifier>ISSN: 1024-123X</identifier><identifier>EISSN: 1563-5147</identifier><identifier>DOI: 10.1155/2020/5206082</identifier><language>eng</language><publisher>Cairo, Egypt: Hindawi Publishing Corporation</publisher><subject>Consumption ; Data centers ; Decisions ; Design ; Electric power grids ; Electrical loads ; Electricity ; Electricity consumption ; Electricity distribution ; Electricity pricing ; Energy costs ; Energy industry ; Energy management ; Environmental protection ; Linear programming ; Load ; Mathematical problems ; Participation ; Peak load ; Power consumption ; Prices ; Pricing policies ; Renewable resources ; Researchers ; Smart grid ; Supply & demand ; Sustainable development ; Workloads</subject><ispartof>Mathematical problems in engineering, 2020, Vol.2020 (2020), p.1-15</ispartof><rights>Copyright © 2020 Yuling Li et al.</rights><rights>Copyright © 2020 Yuling Li et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 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| subjects | Consumption Data centers Decisions Design Electric power grids Electrical loads Electricity Electricity consumption Electricity distribution Electricity pricing Energy costs Energy industry Energy management Environmental protection Linear programming Load Mathematical problems Participation Peak load Power consumption Prices Pricing policies Renewable resources Researchers Smart grid Supply & demand Sustainable development Workloads |
| title | Strategies for Datacenters Participating in Demand Response by Two-Stage Decisions |
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