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: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=709378
• 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.

能源与各级社会发展紧密相关：住宅，工业，运输，公共服务和军事基础设施。具有分布式能源技术的智能能源网格基础架构将确保廉价，清洁，可靠和高效的能源系统，同时实现节能。引入了微电网概念，以促进可再生能源技术的整合，并作为网格连接和岛屿模式运行，这应该涵盖当地的能源需求。但是，由于可再生技术的整合，绩效挑战。引入了微电网（MEG）的概念，以将能源热，电力，燃料与水和运输以及其他能源生产和供应链整合在一起，以最大程度地提高整体性能。这包括使用不同燃料，天然气等不同燃料策略的热量和动力（CHP）系统，使用燃料电池和燃气轮机以及不同的集成场景。由于不同本地地区/区域的能源资源可用性的变化，重要的是支持与本地和全球性能优化的互连的MEG之间的能源交换。 这项研究的目的是研究高级计划，设计，控制，保护和操作方法以及工程技术和实践，以实现高性能相互联系的MEGS。此外，拟议的研究将通过研究危险和绩效退化情景的弹性相互联系以满足当地需求 /负载和能源资源来解决风险和危机方案。静态和动态的能量语义网络（ESN）用于建模智能能源网格基础架构。将研究MEG的设计和控制，以根据内部和外部因素和要求（例如安全性，完整性，安全性，质量，环境和成本）来满足当地能源需求。将根据设计配置替代方案，控制策略和操作方案对MEG网格进行评估和优化，以满足本地和全球能源需求，配置文件，弹性，在正常情况下，或者在潜在的浪费或安全漏洞中。相互联系的MEGS的设计和控制将支持运输基础设施和技术，包括铁路，火车，运输，车辆和其他运输系统。鉴于使用故障语义网络（FSN）的故障传播分析，将分析互连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的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。