Harnessing Flexible Resources and Wide-Area Sensing to Enable Smarter Power Grids that Automatically Combat Transmission Bottlenecks and Prevent Blackouts

利用灵活的资源和广域传感来实现智能电网，自动消除传输瓶颈并防止停电

• 批准号: RGPIN-2016-05928
• 负责人: Kamwa, Innocent
• 金额: $ 3.93万
• 依托单位: Université Laval
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2016
• 资助国家: 加拿大
• 起止时间: 2016-01-01 至 2017-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=615995
• 关键词: Harnessing; Flexible; Resources; Wide; Area

The source of national income in Canada has been transferred from the production to services sector. Such a transition is also occurring in electric industry, where the main focus is being transferred from power generation to smart networks ensuring electricity distribution and management. The resulting more complex integrated system is facing five main challenges: 1) Massive integration of renewable energies with limited predictability (e.g., a 24-hour forecast can be affected by a 10% error) and less inertia, 2) Ageing asset, operated closer to its stability limit, 3) Insertion of new, FACTS and HVdc devices for increased controllability; 4) Widespread roll-out of synchrophasors units and smart meters for wide-area observability, 5) Open-access to North-American electricity markets with its huge power flows over large distances and minute-to-minute transactions. The proposed research aims at increasing asset utilization and flexibility while containing increased blackout risks in these stressed grids by harnessing new technologies that enable smart control, wide-area situational awareness and automated dispatching. We will focus on three Thrusts: A) PMU Analytics: Development of intelligent wide-area situational awareness system using synchrophasors and operational data in a real-time streaming analytics framework. B) Power grid control for improved network utilization: Development of sparsity promoting control schemes for resilient modulation of intelligent loads, distributed storage and dynamic Var resources to increase stability limits; C) Automatic network operator: Development of an intelligent dispatcher aid providing optimal generator schedules and network switching sequences to fix security violations and restore system safety margins with minimum human intervention. Through new devices, streaming analytics and stability controls, we will contribute to the emergence of smarter grids, rich in data and renewable energy sources, and operated closer to their limits. Our findings will hence touch on five technologies that are shaping the functionality of our tomorrow's electricity system according to CEA vision 2050: Demand response; Facilitation of distributed generation and electric vehicles; Optimization of asset use; And fault detection and mitigation. The research outcomes are expected to have a profound technological and scientific impact, in providing in-depth understanding and guidelines for engineering more flexible and optimized adaptive power grids monitoring and control systems, and in helping Canada to establish and reinforce its leadership in green electricity integration. This program will also train a large pool of highly qualified personnel, providing them with valuable insights and experiences in smart grid and renewable energies integration, and enabling them to emerge as expert additions to Canadian electricity industry.

加拿大国民收入的来源已从生产部门转移到服务部门。这种过渡也在电工工业中发生，在电力行业中，主要重点是从发电到智能网络，以确保电力分配和管理。由此产生的更复杂的集成系统面临五个主要挑战：1）可再生能源有限的可再生能源的大规模整合（例如，24小时的预测可能会受到10％错误的影响）和少量的惯性，2）衰老资产，衰老资产，更接近其稳定性限制，3）插入新的，事实和HVDC的能力，以增加可控制性的能力，以增加可控制性的能力； 4）广泛推出同步主管单元和智能仪表，以供广阔的区域可观察性，5）向北美电力市场开放访问，其巨大的电力流在大距离和分钟到分钟的交易中。拟议的研究旨在通过利用可实现智能控制，广泛的情境意识和自动调度的新技术来提高资产利用和灵活性，同时包含这些压力网格中的停电风险。我们将重点关注三个推力：a）PMU Analytics：在实时流式传输分析框架中使用同步主管和操作数据来开发智能广泛的情境意识系统。 b）用于改善网络利用率的电网控制：稀疏性促进控制方案的发展，以调节智能负载，分布式存储和动态VAR资源以增加稳定性限制； c）自动网络运营商：开发智能调度器辅助工具，提供最佳的发电机计划和网络交换序列，以解决安全性违规并以最少的人为干预来恢复系统安全余量。通过新设备，流分析和稳定性控制，我们将为更智能的网格的出现做出贡献，富含数据和可再生能源，并更接近其限制。因此，根据CEA Vision 2050：需求响应，我们的发现将涉及五种构成明天电力系统功能的技术；促进分布式发电和电动汽车；优化资产使用；和故障检测和缓解。预计研究结果将产生深远的技术和科学影响，以提供深入的理解和指南，以使工程更灵活，更优化的自适应电网监测和控制系统，并帮助加拿大建立和增强其在绿色电气整合中的领导力。该计划还将培训大量高素质的人员，为他们提供智能电网和可再生能源整合的宝贵见解和经验，并使他们能够成为加拿大电力行业的专家补充。