通过物联网集成的数字双胞胎来最大限度地提高能源交易操作的效率
Faiza Qayyum1, Reem Alkanhel2, Ammar Muthanna3
1Department of Computer Engineering, Jeju National University, Jeju-si 63243, Republic of Korea.
Sensors (Basel, Switzerland)
|December 23, 2023
概括
本研究介绍了一个数字双胞胎框架,用于优化能源存储系统 (ESS) 在点对点 (P2P) 纳米电网交易中. 该方法通过智能电源管理和物联网任务编排来提高能源利用率并降低成本.
科学领域:
- 能源系统工程 能源系统工程
- 计算机科学 计算机科学
- 人工智能的人工智能
背景情况:
- 能源行业正在探索物联网 (IoT) 在传统行业之外的应用.
- 分布式能源系统需要先进的框架,如数字双胞胎,以提高性能.
- 储能系统 (ESS) 对纳米电网至关重要,以提高可持续性和弹性.
研究的目的:
- 为支持物联网的纳米电网能源交易提出一个新的概念框架.
- 优化ESS在点对点 (P2P) 交易环境中的电力管理.
- 通过基于数字双胞胎的物联网任务编排来提高P2P能源交易效率.
主要方法:
- 粒子集群优化 (PSO) 用于优化ESS的功率.
- 数字生技术用于物联网任务编排 (生成,虚拟化,映射,调度,分配,部署).
- 物联网传感器和Raspberry Pi边缘技术用于虚拟纳米电网操作.
主要成果:
- 拟议的框架有效地管理了剩余的ESS能源,并满足了纳米电网的需求.
- 公用事业机关技术在降低能源交易成本方面表现出有效性.
- 基于数字双胞胎的编排在模拟纳米电网中提高了电力利用率和整体系统效率.
结论:
- 数字双胞胎和物联网的整合对于高效的纳米电网能源交易至关重要.
- 优化的ESS电源管理显著降低了运营成本.
- 该框架为提高分布式能源系统性能提供了一个可扩展的解决方案.
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