When Smart Grid Meets Cloud Computing: Theory, Algorithm Development, and Evaluation

当智能电网遇上云计算：理论、算法开发和评估

• 批准号: RGPIN-2016-05480
• 负责人: Wong, Vincent
• 金额: $ 2.62万
• 依托单位: University of British Columbia
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2016
• 资助国家: 加拿大
• 起止时间: 2016-01-01 至 2017-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=615721
• 关键词: When; Smart; Grid; Meets; Cloud

The smart grid is the next generation electric power grid. It aims to integrate with renewable sources and provide electricity in an efficient, reliable, clean and sustainable manner. Smart grid supports advanced metering infrastructure and real-time bidirectional communications between utility companies and their customers. This facilitates the use of demand side management, which allows the customers to schedule loads from on-peak to off-peak periods. The smart grid also supports the integration of microgrids, which have their own electricity generations and energy storage. For a successful deployment of smart grid, it is important for utility companies to (a) integrate large-scale distributed energy resources to the grid in a seamless manner; (b) develop efficient and reliable grid control and monitoring algorithms; (c) have sufficient computation capabilities and data storage to manage the large amounts of information from the smart meters. In the computer networking domain, cloud computing is the next generation paradigm for computing, information management, and data storage. Cloud computing involves many distributed data centers which are accessible through the Internet. On-demand computing resources can be rapidly provisioned to the customers. It is beneficial for the utility companies to offload some of the computational tasks and data storage to the cloud. However, data centers consume a significant amount of electricity to operate. It is important to develop energy-efficient algorithms to schedule the operations of servers in the data centers. In this proposed research program, we aim, in the long-term, to develop a cloud-based smart grid architecture, which (a) facilitates seamless integration of various types of distributed energy resources; and (b) supports real-time monitoring, forecasting, and control of distributed generators and distributed energy resources at the transmission and distribution level. We will focus on the following inter-related short-term objectives: (i) Design an energy-efficient cloud computing network architecture for smart grid to facilitate access, monitoring, data analytics, real-time control, load forecasting, and data storage; (ii) Develop cloud-based unit commitment, economic dispatch, and demand side management algorithms that can control various types of loads and heterogeneous distributed energy resources connected to the power grid in a scalable and reliable manner; (iii) Develop efficient cloud-based energy trading and pricing algorithms for energy systems and microgrids in different market types. We anticipate that our research will find practical novel solutions and applications for the benefit of the local and the global energy systems and telecommunications industries. They are expected to have a lasting impact in contributing towards the long-term competitiveness of Canada’s technological innovation.

智能电网是下一代电网。它旨在与可再生能源相结合，以高效，可靠，清洁和可持续的方式提供电力。智能电网支持先进的计量基础设施和公用事业公司及其客户之间的实时双向通信。这有利于使用需求侧管理，允许客户从高峰期到非高峰期调度负荷。智能电网还支持微电网的整合，微电网有自己的发电和储能系统。为了成功部署智能电网，公用事业公司必须（a）将大规模分布式能源以无缝方式集成到电网中;（B）开发高效可靠的电网控制和监控算法;（c）具有足够的计算能力和数据存储来管理来自智能电表的大量信息。在计算机网络领域，云计算是计算、信息管理和数据存储的下一代范例。云计算涉及许多可通过互联网访问的分布式数据中心。按需计算资源可以快速地供应给客户。对于公用事业公司来说，将一些计算任务和数据存储卸载到云端是有益的。然而，数据中心消耗大量的电力来运行。重要的是开发节能算法来调度数据中心中的服务器的操作。 在这项拟议的研究计划中，我们的目标是，在长期内，开发一个基于云的智能电网架构，（a）促进无缝集成的各种类型的分布式能源;和（B）支持实时监测，预测和控制分布式发电机和分布式能源在传输和分配的水平。（i）为智能电网设计一个具能源效益的云端计算网络架构，以方便接达、监察、数据分析、实时控制、负荷预测及数据储存;（ii）开发基于云的机组承诺、经济调度，以及需求侧管理算法，其可以以可扩展和可扩展的方式控制连接到电网的各种类型的负载和异构分布式能量资源，可靠的方式; ㈢为不同市场类型的能源系统和微电网开发高效的基于云的能源交易和定价算法。我们预计，我们的研究将为当地和全球能源系统和电信行业的利益找到实用的新解决方案和应用。预计它们将对加拿大技术创新的长期竞争力产生持久的影响。