Planning, Control, and Optimization of Resilient Smart Energy Grids and Interconnected Micro Energy Grids

弹性智能电网和互联微电网的规划、控制和优化

• 批准号: RGPIN-2016-04572
• 负责人: Gaber, Hossam
• 金额: $ 2.26万
• 依托单位: University of Ontario Institute of Technology
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=651302
• 关键词: Planning; Control; Optimization; Resilient; Smart

Energy is tightly linked with societal development in all levels: residential, industrial, transportation, public services, and military infrastructures. Smart energy grid infrastructures with distributed energy resources technologies will ensure cheap, clean, reliable, and high efficient energy systems, while achieving energy conservation. Microgrid concept was introduced to facilitate the integration of renewable energy technologies and operate as grid-connected and islanded modes, which should cover local energy needs. However, there are performance challenges due to the integration of renewable technologies. The concept of Micro Energy Grid (MEG) is introduced to integrate energy thermal, electricity, fuel, with water and transportation, as well as other energy production and supply chains to maximize the overall performance. This includes Combined Heat and Power (CHP) systems with different fuel strategies such as hydrogen, natural gas, with different integration scenarios using fuel cell and gas turbine. Due to the variation of energy resources availability in different local regions/zones, it is important to support energy exchange among interconnected MEGs with local and global performance optimization. ***This research is aiming at the study of advanced planning, design, control, protection, and operation methods and engineering techniques and practices to achieve high performance interconnected MEGs. In addition, the proposed research will address risks and crisis scenarios by investigating resilient interconnected MEGs to meet local demands / loads, and energy resources, in view of hazards and performance degradation scenarios. Static and dynamic energy semantic networks (ESN) is utilized to model smart energy grid infrastructures. MEG design and control will be studied to meet local energy demands based on internal and external factors and requirements such as safety, integrity, security, quality, environment, and cost. MEG grids will be evaluated and optimized based on design configuration alternatives, control strategies, and operation scenarios to satisfy local and global energy requirements, profiles, resilience, and in normal situations, or during potential disaster situations or security breaches. The design and control of interconnected MEGs will support transportation infrastructures and technologies, which includes rail, trains, transit, vehicles, and other transportation systems. Fault tolerant control strategies and safety and protection layers of interconnected MEGs will be analyzed in view of fault propagation analysis using fault semantic networks (FSN). Integration of ESN and FSN will provide novel systemic approach for resilient interconnected MEGs to meet energy demands and potential disaster scenarios. The proposed research will support requirements from utilities, regulators, technology providers, and end users.

能源与各个层面的社会发展密切相关：住宅、工业、交通、公共服务和军事基础设施。采用分布式能源技术的智能电网基础设施将确保廉价、清洁、可靠、高效的能源系统，同时实现节能。引入微电网概念是为了促进可再生能源技术的整合，并以并网和孤岛模式运行，满足当地的能源需求。然而，由于可再生技术的整合，存在性能挑战。引入微能源网格（MEG）概念，将能源热、电、燃料、水、交通以及其他能源生产和供应链整合起来，以最大限度地提高整体性能。这包括采用氢气、天然气等不同燃料策略的热电联产 (CHP) 系统，以及使用燃料电池和燃气轮机的不同集成方案。由于不同地区/区域的能源资源可用性存在差异，通过本地和全局性能优化来支持互连 MEG 之间的能源交换非常重要。 ***本研究旨在研究实现高性能互联MEG的先进规划、设计、控制、保护和运行方法以及工程技术和实践。此外，拟议的研究将通过研究弹性互连 MEG 来解决风险和危机场景，以满足当地需求/负载和能源资源，考虑到危险和性能下降场景。静态和动态能源语义网络（ESN）用于对智能能源电网基础设施进行建模。将根据安全、完整性、保障、质量、环境和成本等内外部因素和要求，研究MEG设计和控制，以满足当地能源需求。 MEG 电网将根据设计配置替代方案、控制策略和运行场景进行评估和优化，以满足当地和全球的能源需求、概况、弹性，以及在正常情况下、或在潜在灾难情况或安全漏洞期间。互联 MEG 的设计和控制将支持交通基础设施和技术，包括铁路、火车、交通、车辆和其他交通系统。将使用故障语义网络（FSN）从故障传播分析的角度分析互连 MEG 的容错控制策略以及安全和保护层。 ESN 和 FSN 的集成将为弹性互连 MEG 提供新颖的系统方法，以满足能源需求和潜在的灾难情况。拟议的研究将支持公用事业、监管机构、技术提供商和最终用户的要求。