CAREER: Harnessing Smart Grid Data to Enable Resilient and Efficient Electricity

这项研究的目标是利用智能电网数据(大数据)来实现更具弹性和更高效的电力。三个研究子项目有助于实现这一目标。项目1结合了一种新的？随机化学？计算算法采用复杂网络的方法来发现电力系统的脆弱性模式，并利用其结果来降低连锁故障停电风险。项目2通过查看电网传感器数据中的统计特性(结构化噪声)，将智能电网数据转换为有关电网健康状况的可操作信息。项目1和2寻求使电网对可再生能源或天气事件的波动更具弹性。项目3使用众包通过基于网络的能效社会网络来确定影响住宅能源消耗的趋势。智力价值这个项目融合了不同科学学科的研究想法，包括复杂系统、图论、数据科学、计算智能和众包。项目1和2使用抽象的复杂系统方法，同时保留有关电力系统物理的关键信息。通过使用来自真实电力系统的数据，该项目将为新兴的数据科学领域做出贡献。第三个项目将计算智能与众包相结合，可以开辟提高能源效率的新方法。广泛影响该项目测试新的教育方法，包括一个独特的基于乐高的电网模拟器，并将智能电网数据整合到新课程中。新课程和亲身实践？智能电网路演？将被用来吸引来自不同教育和人口背景的学生学习电能。

The objective of this research is to harness Smart Grid data (Big Data) to enable more resilient and efficient electricity. Three research sub-projects contribute to this goal. Project 1 combines a new ?Random Chemistry? computational algorithm with complex networks methods to find patterns of vulnerability in power systems, and uses the results to reduce cascading failure blackout risk. Project 2 transforms smart grid data into actionable information about the health of a power grid by looking at statistical properties (structured noise) in data from grid sensors. Projects 1 and 2 seeks to make power grids more resilient to fluctuations from renewable generation or weather events. Project 3 uses crowdsourcing to identify trends affecting residential energy consumption through a web-based energy efficiency social network. Intellectual MeritThis project integrates research ideas from diverse scientific disciplines, including complex systems, graph theory, data science, computational intelligence and crowdsourcing. Projects 1 and 2 use abstract complex systems approaches, while retaining critical information about the physics of power systems. By using data from real power systems the project will contribute to the emerging field of data science. The third project combines computational intelligence with crowdsourcing in a way that could open new ways to improve energy efficiency.Broader ImpactsThis project tests new educational approaches, including a unique LEGO-based grid simulator, and integrates smart grid data into new courses. New curriculum and a hands on ?smart grid road show? will be leveraged to attract students from diverse educational and demographic backgrounds to study electric energy.