A risk-averse optimal dispatch scheme for data centers considering carbon emission and water constraints based on enhanced ADMM
With the background of global climate change, the significance of energy utilization considering environmentally friendly is widely recognized. As a heavy load user in the power system, the role of data center (DC) in environment protection needs to be considered in the operation of the power system...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2025-10-01
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| Series: | International Journal of Electrical Power & Energy Systems |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S0142061525005241 |
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| _version_ | 1849337722771079168 |
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| author | Haotian Ma Bo Zeng Jiayu Wang Shengyi Wang Chen Liang Jiayi Zhang |
| author_facet | Haotian Ma Bo Zeng Jiayu Wang Shengyi Wang Chen Liang Jiayi Zhang |
| author_sort | Haotian Ma |
| collection | DOAJ |
| description | With the background of global climate change, the significance of energy utilization considering environmentally friendly is widely recognized. As a heavy load user in the power system, the role of data center (DC) in environment protection needs to be considered in the operation of the power system. This paper proposes a distributed risk-averse optimal dispatch scheme for DCs considering carbon emission and water restriction. Firstly, a model for the consumption of cooling water was established based on the equation of heat conduction, and the utilization of water resources in data centers was restricted by imposing an excess penalty price; Furthermore, the conditional value at risk (CVaR) method is introduced to manage the risks arising from diverse uncertainties, including workload, power of photovoltaic and temperature in the proposed scheme. To improve computational performance and protect the privacy between the DCs, the improved multiplier based alternating direction method of multipliers (M−ADMM) distributed solution method is developed to solve the dispatch model for DCs, and consider the time difference between photovoltaics and temperature caused by geographical longitude location. Numerical results illustrate the benefits for environment protection and economic, risk management ability, and computational performance of the proposed scheme. |
| format | Article |
| id | doaj-art-5937d8b827ec4567a518273b463b7fec |
| institution | Kabale University |
| issn | 0142-0615 |
| language | English |
| publishDate | 2025-10-01 |
| publisher | Elsevier |
| record_format | Article |
| series | International Journal of Electrical Power & Energy Systems |
| spelling | doaj-art-5937d8b827ec4567a518273b463b7fec2025-08-20T03:44:36ZengElsevierInternational Journal of Electrical Power & Energy Systems0142-06152025-10-0117111097610.1016/j.ijepes.2025.110976A risk-averse optimal dispatch scheme for data centers considering carbon emission and water constraints based on enhanced ADMMHaotian Ma0Bo Zeng1Jiayu Wang2Shengyi Wang3Chen Liang4Jiayi Zhang5State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources (North China Electric Power University), Beijing 102206, ChinaCorresponding author.; State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources (North China Electric Power University), Beijing 102206, ChinaState Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources (North China Electric Power University), Beijing 102206, ChinaState Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources (North China Electric Power University), Beijing 102206, ChinaState Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources (North China Electric Power University), Beijing 102206, ChinaState Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources (North China Electric Power University), Beijing 102206, ChinaWith the background of global climate change, the significance of energy utilization considering environmentally friendly is widely recognized. As a heavy load user in the power system, the role of data center (DC) in environment protection needs to be considered in the operation of the power system. This paper proposes a distributed risk-averse optimal dispatch scheme for DCs considering carbon emission and water restriction. Firstly, a model for the consumption of cooling water was established based on the equation of heat conduction, and the utilization of water resources in data centers was restricted by imposing an excess penalty price; Furthermore, the conditional value at risk (CVaR) method is introduced to manage the risks arising from diverse uncertainties, including workload, power of photovoltaic and temperature in the proposed scheme. To improve computational performance and protect the privacy between the DCs, the improved multiplier based alternating direction method of multipliers (M−ADMM) distributed solution method is developed to solve the dispatch model for DCs, and consider the time difference between photovoltaics and temperature caused by geographical longitude location. Numerical results illustrate the benefits for environment protection and economic, risk management ability, and computational performance of the proposed scheme.http://www.sciencedirect.com/science/article/pii/S0142061525005241Water footprintCarbon footprintData centerConditional value at riskAlternating direction method of multipliers |
| spellingShingle | Haotian Ma Bo Zeng Jiayu Wang Shengyi Wang Chen Liang Jiayi Zhang A risk-averse optimal dispatch scheme for data centers considering carbon emission and water constraints based on enhanced ADMM International Journal of Electrical Power & Energy Systems Water footprint Carbon footprint Data center Conditional value at risk Alternating direction method of multipliers |
| title | A risk-averse optimal dispatch scheme for data centers considering carbon emission and water constraints based on enhanced ADMM |
| title_full | A risk-averse optimal dispatch scheme for data centers considering carbon emission and water constraints based on enhanced ADMM |
| title_fullStr | A risk-averse optimal dispatch scheme for data centers considering carbon emission and water constraints based on enhanced ADMM |
| title_full_unstemmed | A risk-averse optimal dispatch scheme for data centers considering carbon emission and water constraints based on enhanced ADMM |
| title_short | A risk-averse optimal dispatch scheme for data centers considering carbon emission and water constraints based on enhanced ADMM |
| title_sort | risk averse optimal dispatch scheme for data centers considering carbon emission and water constraints based on enhanced admm |
| topic | Water footprint Carbon footprint Data center Conditional value at risk Alternating direction method of multipliers |
| url | http://www.sciencedirect.com/science/article/pii/S0142061525005241 |
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