Reliability and Resiliency Evaluation of Smart and Environmentally Friendly Power Systems

智能环保电力系统的可靠性和弹性评估

• 批准号: RGPIN-2020-04477
• 负责人: KARKI, RAJESH
• 金额: $ 2.04万
• 依托单位: University of Saskatchewan
• 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=751603
• 关键词: Reliability; Resiliency; Evaluation; Smart; Environmentally

Electric power systems throughout the world are undergoing significant changes in system structure, market models and regulatory measures due to rapid increase of intermittent renewable energy and emergence of electric vehicles. These changes cause increasing challenges in efficiently planning and operating power systems while maintaining acceptable service reliability. Application of smart-grid technologies and energy storage systems are perceived as potential solutions to address system reliability issues, and to enhance environment-friendly renewable energy utilization. Future power systems are expected to deploy increased automation and smart technologies, but will still be vulnerable to malfunction of such interlinked smart components/processes leading to widespread outages. Many communities are also concerned about ongoing environmental changes and frequent recurrence of extreme weather conditions that can lead to widespread power outages resulting in huge financial and societal losses. There are growing concerns not only on the ability of future power systems to economically deliver reliable power supply to electricity consumers while meeting environmental commitments, but also on the resilience of power systems to withstand or recover from widespread outages. The proposed program will develop new methodologies to evaluate the reliability and resiliency of active distribution systems integrated with renewable energy sources considering smart-grid initiatives and distributed resources, such as energy storage. The project will investigate established and new metrics to quantify, differentiate and inter-relate the reliability and resilience of urban and rural power distribution systems. A consumer survey will be carried out to develop a technique to assess value-based reliability investment in appropriate distributed resources to support the growth in renewable resources in isolated and grid-connected distribution systems. Suitable adequacy models will be developed for appropriate investment in system infrastructure to assure a reliable and resilient system. Evaluation models will also be developed to quantify system operational reliability and resilience and assess the influence of market mechanism, smart operational initiatives, growth of electric vehicles and deployment of support resources such as energy storage. The proposed program will investigate a range of system studies to recommend appropriate system design, resource allocations, technology deployment, operational strategies and market policies to ensure that future power distribution systems are adequately resilient and reliable to satisfy consumer needs with environmental compliance. The developed methods should also be useful to energy policy makers and to system regulators to develop and implement appropriate reliability and resilience standards and market mechanisms in the changing energy scenario.

由于间歇性可再生能源的快速增长和电动汽车的出现，世界各地的电力系统正在经历系统结构、市场模式和监管措施的重大变化。这些变化给高效规划和运营电力系统同时保持可接受的服务可靠性带来了越来越大的挑战。智能电网技术和储能系统的应用被认为是解决系统可靠性问题和提高环境友好型可再生能源利用的潜在解决方案。未来的电力系统预计将部署更多的自动化和智能技术，但仍容易受到这种相互关联的智能组件/过程的故障的影响，从而导致大范围的停电。许多社区还对持续的环境变化和频繁出现的极端天气状况感到关切，这些情况可能导致大范围停电，造成巨大的经济和社会损失。人们不仅越来越关注未来电力系统在满足环境承诺的同时经济地向电力消费者提供可靠电力供应的能力，而且还关注电力系统承受大范围停电或从大范围停电中恢复的弹性。该计划将开发新的方法来评估与可再生能源集成的主动配电系统的可靠性和弹性，同时考虑智能电网计划和分布式资源，如储能。该项目将调查现有的和新的指标，以量化，区分和相互关联的可靠性和城市和农村配电系统的弹性。将进行一项消费者调查，以开发一种技术，评估对适当的分布式资源进行基于价值的可靠性投资，以支持孤立和并网配电系统中可再生资源的增长。将开发合适的充足性模型，以对系统基础设施进行适当投资，以确保系统可靠且具有弹性。我们亦将开发评估模型，以量化系统的营运可靠性及弹性，并评估市场机制、智能营运措施、电动汽车增长及储能等支援资源部署的影响。该计划将调查一系列系统研究，以推荐适当的系统设计，资源分配，技术部署，运营策略和市场政策，以确保未来的配电系统具有足够的弹性和可靠性，以满足消费者对环境的需求。所制定的方法还应有助于能源政策制定者和系统监管者在不断变化的能源情景中制定和实施适当的可靠性和复原力标准以及市场机制。