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arXiv 1302.0885math.OCstat.AP
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电网监测和Optimization:信号处理的观点

Monitoring and Optimization for Power Grids: A Signal Processing Perspective

Georgios B. Giannakis, Vassilis Kekatos, Nikolaos Gatsis, Seung-Jun Kim, Hao Zhu, Bruce F. Wollenberg

摘要:

智能电网的愿景是通过利用成熟的传感、通信、控制和机器学习技术来振兴电力网络,以解决与安全、稳定、环境影响、市场多样性和新型电力技术相关的紧迫问题。通过安装先进的计量系统和在整个电网中建立数据通信网络,已投入大量精力和投资来构建必要的基础设施。信号处理方法预计将在这方面发挥重要作用,提供智能算法,充分利用这种普遍的传感和控制能力,以实现智能电网的愿景和多种预期的好处。在这篇专题文章中,描述了信号处理工具与电力系统的分析背景和相关性,同时介绍了未来电网工程的主要挑战和机遇。从网格信息学到监控和优化工具的推理,与能源相关的问题为信号处理的发展提供了肥沃的土壤。

英文摘要:

The smart grid vision is to revitalize the electric power network by leveraging the proven sensing, communication, control, and machine learning technologies to address pressing issues related to security, stability, environmental impact, market diversity, and novel power technologies. Significant effort and investment have been committed to architect the necessary infrastructure by installing advanced metering systems and establishing data communication networks throughout the grid. Signal processing methodologies are expected to play a major role in this context by providing intelligent algorithms that fully exploit such pervasive sensing and control capabilities to realize the vision and manifold anticipated benefits of the smart grid. In this feature article, analytical background and relevance of signal processing tools to power systems are delineated, while introducing major challenges and opportunities for the future grid engineering. From grid informatics to inference for monitoring and optimization tools, energy-related issues are shown to offer a fertile ground for signal processing growth whose time has come.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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