Collaborative Research: Integrating Random Energy into the Smart Grid

智能电网是我们这个时代最重要、最雄心勃勃的工程努力之一。可再生能源发电的深度整合是智能电网愿景的关键驱动因素。一个根本的挑战是这些能源是高度可变的。它们是不可调度的，经历巨大而迅速的变化，并且难以预测。电网必须通过一系列解决方案来吸收这种可变性，这些解决方案包括改进的预测、需求塑造、电力存储、最佳电网运营和新的市场工具。我们的目标是分析风能整合的投资组合。我们将开发一个分析框架，研究如何在深度渗透水平的竞争电力市场中解决风力变化问题。我们将研究基于市场的弃风、聚合、可变发电和灵活负荷的匹配，以及新的合同工具。更广泛的影响我们研究的社会影响来自于可再生能源发电对能源安全和环境可持续性至关重要的事实。我们的研究直接解决了必须克服的障碍，以显著提高可再生能源发电的渗透率。我们研究的技术影响将源于我们分析现有选择和设计可再生能源整合新机制的新框架。这将提供新的见解和分析方法，指导设计技术组成部分和协调机制的最佳组合。我们的研究对教育的影响源于我们将各级教育与我们的研究相结合的认真努力。我们将为学生提供电力系统运行、优化、控制和经济学方面的多学科培训，使他们成为实现智能电网愿景的领导者。

Intellectual MeritThe Smart Grid is among the most important and ambitious engineering endeavors of our time. Deep integration of renewable electricity generation is a key driver of the Smart Grid vision. A fundamental challenge is that these energy sources are highly variable ? they are not dispatchable, experience large and rapid changes, and are difficult to predict. The electricity grid must absorb this variability through a portfolio of solutions that include improved forecasts, demand shaping, electricity storage, optimal grid operations, and new market instruments. Our objective is to analyze this portfolio for wind energy integration. We will develop an analytical framework to study how wind variability can be addressed in competitive electricity markets at deep penetration levels. We will investigate market based wind curtailment, aggregation, matching of variable generation and flexible loads, and novel contract instruments.Broader ImpactThe societal impact of our research comes from the fact that renewable electricity generation is critical for energy security and environmental sustainability. Our research directly addresses the obstacles that must be overcome to significantly increase the penetration of renewable generation. The technological impact of our research will stem from our novel framework to analyze existing options and design novel mechanisms for renewable integration. This will offer new insights and analysis methods which will guide the design of optimal portfolios of technology components and coordination mechanisms. The educational impact of our research is derived from our serious efforts at integrating education at all levels with our research. We will equip our students with the multi-disciplinary training in power systems operations, optimization, control, and economics to become leaders in making the Smart Grid vision a reality.