Power System Reliability Evaluation Incorporating Renewable Energy and Smart Grid Initiatives

结合可再生能源和智能电网计划的电力系统可靠性评估

• 批准号: RGPIN-2015-06327
• 负责人: Karki, Rajesh
• 金额: $ 1.6万
• 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: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=637125
• 关键词: Power; System; Reliability; Evaluation; Incorporating

The proposed research will develop short-term reliability models for renewable resources with smart grid technology application for electric power systems. The models will be embedded in new methodologies that will be developed to evaluate operating performance for efficient utilization of energy resources while maintaining acceptable level of system reliability. Widespread support for renewable energy has led to rapid increase in large-scale wind power integration in power systems. Significant growth in intermittent generation, increased transmission congestion with highly fluctuating severity levels, and the relative growth in distributed generation with potential wind and solar power are considerable changes in modern power systems. Increasing use of electric vehicles can bring about significant changes to energy use and management in future power systems. These changes have and will create new challenges to system operation in order to provide reliable and efficient use of electrical energy. Smart grid technology is receiving significant attention as potential means of mitigating these problems. The application of smart grid technology in various forms can significantly influence the energy demand profiles, response characteristics to system conditions, and operating philosophy. These transitions further dictate a need to deviate from the conventional practices of system operation, and research and develop new and suitable techniques considering the applications of emerging technologies and potential operational measures. The proposed research will develop methodologies, considering the ongoing system structural changes and initiatives, to increase energy efficiency, maximize renewable energy utilization and maintain acceptable reliability of the overall system. The objective is to provide useful indicators and valuable information to power system operators in order to maximize the benefits from different types of energy sources considering storage opportunities from electric vehicles and demand response initiatives in the changing environment. The developed methods should also be useful to energy policy makers and to system regulators to develop and implement appropriate reliability standards in the changing energy scenario.

拟议的研究将开发可再生资源的短期可靠性模型，并将智能电网技术应用于电力系统。这些模型将嵌入新的方法中，以评估在保持可接受的系统可靠性水平的同时有效利用能源的运营绩效。对可再生能源的广泛支持导致了电力系统中大规模风电集成的快速增长。间歇性发电的显著增长、严重程度波动较大的输电阻塞增加以及具有潜在风能和太阳能的分布式发电的相对增长是现代电力系统的重大变化。电动汽车的使用越来越多，可能会给未来电力系统的能源使用和管理带来重大变化。这些变化已经并将对系统操作产生新的挑战，以便提供可靠和有效的电能使用。智能电网技术作为缓解这些问题的潜在手段正受到极大关注。各种形式的智能电网技术的应用可以显着影响能源需求曲线，系统条件的响应特性和运行理念。这些转变进一步表明，需要偏离系统运行的传统做法，并研究和开发新的和适当的技术，考虑到新兴技术和潜在的业务措施的应用。拟议的研究将制定方法，考虑到正在进行的系统结构变化和举措，以提高能源效率，最大限度地利用可再生能源，并保持整个系统的可接受的可靠性。其目的是为电力系统运营商提供有用的指标和有价值的信息，以最大限度地提高不同类型能源的效益，同时考虑到电动汽车的存储机会和不断变化的环境中的需求响应举措。所开发的方法也应该是有用的能源政策制定者和系统监管机构制定和实施适当的可靠性标准，在不断变化的能源方案。