Stochastic Energy Management in Smart Grid with Cyber-Physical Resilience Enhancement

智能电网中的随机能源管理与网络物理弹性增强

• 批准号: RGPIN-2021-03844
• 负责人: Liang, Hao
• 金额: $ 2.04万
• 依托单位: University of Alberta
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=752174
• 关键词: Stochastic; Energy; Management; Smart; Grid

As the traditional electrical grid evolves towards future smart grid, distributed energy resources including distributed generation (DG) units such as photovoltaic (PV) panels and wind turbines, and distributed storage (DS) units such as batteries, flywheels, and electric vehicles (EVs) or electric buses (EBs) with vehicle-to-grid (V2G) capabilities, have attracted a great amount of attention from researchers in both academia and industry. Due to the flexible control and fast response of these devices, they can support a wide range of applications for both demand-side and grid-scale services. In addition to the constant progress in DG, DS, EV/EB technologies and power electronics, the development of reliable and intelligent energy management schemes has been in an urgent need in recent years. One of the greatest challenges in energy management is the randomness caused by the power generation and/or demand of distributed energy resources. Also, along with the integration of DS units including EVs/EBs at high penetration level, the charging and discharging behaviour can introduce great uncertainties into the smart grid, which can affect the reliability and stability of system operation. In addition, natural disasters such as ice storms, hurricanes, and earthquakes can cause damages to a large number of components in power distribution systems, while the data transmissions in smart grid may be prone to severe cyber attacks. Therefore, developing innovative stochastic energy management schemes with cyber-physical resilience is technically challenging but of paramount importance for the future smart grid. The long-term goal of the proposed research is to establish an architecture of intelligent energy system and build up an advanced information and communication system as a "glue" to interconnect all the energy systems (including not only electrical grid, but also other types of energy systems such as oil and natural gas systems), such that the energy can flow in industrial, commercial, residential, and transportation sectors in an efficient, reliable, secure, and sustainable way. The short-term objectives are to address the above-mentioned technical challenges and develop stochastic energy management schemes for smart grid with cyber-physical resilience in four thrusts including data-driven stochastic modeling for distributed energy resources and cyber-physical threats, stochastic energy management of sustainable buildings with distributed energy resources, stochastic energy management in smart distribution systems, and cyber-physical resilience enhancement of stochastic energy management in smart grid. The interdisciplinary nature of the proposed research will identify new opportunities for overall system optimization that are otherwise impossible in isolated approaches. The proposed research will generate new knowledge and train HQP for both power/energy and information/communication industries.

随着传统的电网朝着未来的智能电网发展，分布式能源（包括分布式生成（DG）单位），例如光伏（PV）和风力涡轮机，以及分布式存储（DS）单元，例如电池，飞行器和电动汽车和电动汽车（EVS）或电动总线（EBS）或电动汽车（EBS（EBS），以及来自汽车到网络（V2G）的范围，都吸引了一名Compantia，并吸引了一名量。由于这些设备的灵活控制和快速响应，它们可以为需求端和网格尺度服务提供广泛的应用程序。除了DG，DS，EV/EB技术和电力电子方面的持续进展外，近年来，可靠且智能的能源管理方案的开发也急需。能源管理中最大的挑战之一是由分布式能源的发电和/或需求引起的随机性。同样，除了在高渗透水平下电动汽车/EB在内的DS单元的集成，充电和放电行为可以将极大的不确定性引入智能电网，这可能会影响系统操作的可靠性和稳定性。此外，诸如冰暴，飓风和地震等自然灾害可能会损害电源分配系统中的大量组件，而智能电网中的数据传输可能容易受到严重的网络攻击。因此，使用网络物理弹性开发创新的随机能源管理方案在技术上具有挑战性，但对未来的智能电网至关重要。拟议研究的长期目标是建立智能能源系统的体系结构，并建立先进的信息和通信系统作为“胶水”，以互连所有能源系统（不仅包括电网，还包括其他类型的能源系统，例如石油和天然气系统），例如，能源在工业，商业，居住，居住，居住和运输方面都可以在有效的，可靠的，可靠的，可靠，可靠，可靠，可靠，可靠，可靠。 The short-term objectives are to address the above-mentioned technical challenges and develop stochastic energy management schemes for smart grid with cyber-physical resilience in four thrusts including data-driven stochastic modeling for distributed energy resources and cyber-physical threats, stochastic energy management of sustainable buildings with distributed energy resources, stochastic energy management in smart distribution systems, and cyber-physical resilience enhancement of stochastic energy management in聪明的网格。拟议的研究的跨学科性质将确定整体系统优化的新机会，否则在孤立的方法中是不可能的。拟议的研究将产生新的知识，并培训HQP，以实现电力/能源和信息/通信行业。