{"title":"Operation of smart distribution networks by considering the spatial–temporal flexibility of data centers and battery energy storage systems","authors":"","doi":"10.1016/j.scs.2024.105746","DOIUrl":null,"url":null,"abstract":"<div><p>This paper proposes a new framework for Smart Distribution Networks (SDN) operation by leveraging data centers' spatial–temporal flexibility. Combining this flexibility with Battery Energy Storage Systems (BES) capabilities can create a more robust and practical solution for real-world grid management challenges. Reducing the power exchange with the upstream network during peak hours is critical to reduce total losses. The proposed framework shows a 24.61 % reduction in power exchange with the upstream network during peak hours, resulting in a 39.71 % reduction in total loss compared to normal operation. In addition, managing the uncertainty of renewable energy resource generation and load demand using the robust optimization method has been one of the main goals of this work. Finally, the study utilizes sensitivity analysis to identify the most optimal placement of data centers and BES units within the power grid, maximizing the benefits of this integrated approach. Sensitivity analysis on data centers and BES locations identified optimal locations on buses 15, 25, 33 and 2, 8, 23, 28, respectively. The results show that this strategic placement will reduce total losses by 12 % more than the proposed framework.</p></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":null,"pages":null},"PeriodicalIF":10.5000,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sustainable Cities and Society","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2210670724005717","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CONSTRUCTION & BUILDING TECHNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
This paper proposes a new framework for Smart Distribution Networks (SDN) operation by leveraging data centers' spatial–temporal flexibility. Combining this flexibility with Battery Energy Storage Systems (BES) capabilities can create a more robust and practical solution for real-world grid management challenges. Reducing the power exchange with the upstream network during peak hours is critical to reduce total losses. The proposed framework shows a 24.61 % reduction in power exchange with the upstream network during peak hours, resulting in a 39.71 % reduction in total loss compared to normal operation. In addition, managing the uncertainty of renewable energy resource generation and load demand using the robust optimization method has been one of the main goals of this work. Finally, the study utilizes sensitivity analysis to identify the most optimal placement of data centers and BES units within the power grid, maximizing the benefits of this integrated approach. Sensitivity analysis on data centers and BES locations identified optimal locations on buses 15, 25, 33 and 2, 8, 23, 28, respectively. The results show that this strategic placement will reduce total losses by 12 % more than the proposed framework.
期刊介绍:
Sustainable Cities and Society (SCS) is an international journal that focuses on fundamental and applied research to promote environmentally sustainable and socially resilient cities. The journal welcomes cross-cutting, multi-disciplinary research in various areas, including:
1. Smart cities and resilient environments;
2. Alternative/clean energy sources, energy distribution, distributed energy generation, and energy demand reduction/management;
3. Monitoring and improving air quality in built environment and cities (e.g., healthy built environment and air quality management);
4. Energy efficient, low/zero carbon, and green buildings/communities;
5. Climate change mitigation and adaptation in urban environments;
6. Green infrastructure and BMPs;
7. Environmental Footprint accounting and management;
8. Urban agriculture and forestry;
9. ICT, smart grid and intelligent infrastructure;
10. Urban design/planning, regulations, legislation, certification, economics, and policy;
11. Social aspects, impacts and resiliency of cities;
12. Behavior monitoring, analysis and change within urban communities;
13. Health monitoring and improvement;
14. Nexus issues related to sustainable cities and societies;
15. Smart city governance;
16. Decision Support Systems for trade-off and uncertainty analysis for improved management of cities and society;
17. Big data, machine learning, and artificial intelligence applications and case studies;
18. Critical infrastructure protection, including security, privacy, forensics, and reliability issues of cyber-physical systems.
19. Water footprint reduction and urban water distribution, harvesting, treatment, reuse and management;
20. Waste reduction and recycling;
21. Wastewater collection, treatment and recycling;
22. Smart, clean and healthy transportation systems and infrastructure;