Chen Lin, Wang Jianxiao, Wu Zhaoyuan, Yu Yang, Zhou Ming, Li Gengyin
Institute for Interdisciplinary Information Sciences, Tsinghua University, Beijing 100084, China.
National Engineering Laboratory for Big Data Analysis and Applications, Peking University, Beijing 100871, China.
iScience. 2024 Feb 20;27(3):109290. doi: 10.1016/j.isci.2024.109290. eCollection 2024 Mar 15.
Our research addresses the critical intersection of communication and power systems in the era of advanced information technologies. We highlight the strategic importance of communication base station placement, as its optimization is vital for minimizing operational disruptions in energy systems. Our study introduces a communications and power coordination planning (CPCP) model that encompasses both distributed energy resources and base stations to improve communication quality of service. This model facilitates optimal resource distribution, ensuring communication reliability over 96% and downlink transmission rates above 450 Mbps, enhancing network resilience and cost-effectiveness. Through case studies, we demonstrate CPCP's potential to significantly reduce planning costs, particularly with increased renewable energy integration, supporting the transition to low-carbon energy systems. Our findings contribute to a comprehensive understanding of the symbiotic relationship between communication and power networks, emphasizing the need for coordinated planning in building future-proof energy infrastructures.
我们的研究关注先进信息技术时代通信与电力系统的关键交叉点。我们强调通信基站布局的战略重要性，因为其优化对于最大限度减少能源系统中的运营中断至关重要。我们的研究引入了一种通信与电力协调规划（CPCP）模型，该模型涵盖分布式能源资源和基站，以提高通信服务质量。此模型有助于实现最佳资源分配，确保通信可靠性超过96%，下行传输速率高于450Mbps，增强网络弹性和成本效益。通过案例研究，我们证明了CPCP在显著降低规划成本方面的潜力，特别是随着可再生能源整合的增加，支持向低碳能源系统的转型。我们的研究结果有助于全面理解通信与电力网络之间的共生关系，强调在构建面向未来的能源基础设施时进行协调规划的必要性。
