Collaborative Research: Integrating Random Energy Into the Smart Grid

合作研究：将随机能源集成到智能电网中

• 批准号: 1723849
• 负责人: Pramod Khargonekar
• 金额: $ 9.14万
• 依托单位: University of California-Irvine
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-07-01 至 2017-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1723849&HistoricalAwards=false
• 关键词: Collaborative; Research; Integrating; Random; Energy

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.

知识分子优点智能电网是我们时代最重要，最雄心勃勃的工程努力之一。可再生电力发电的深度集成是智能电网视觉的关键动力。一个根本的挑战是这些能源是高度可变的吗？它们无法调度，经历大型和快速的变化，并且难以预测。电网必须通过包括改进的预测，需求塑料，电力存储，最佳电网操作和新市场工具的解决方案来吸收这种可变性。我们的目标是分析该投资组合以进行风能整合。我们将开发一个分析框架，以研究如何在深度渗透水平的竞争性电力市场中解决风变性。我们将调查基于市场的限制，聚集，可变产生和灵活负载的匹配以及新颖的合同工具。BoaderImplast我们研究的社会影响源于这样的事实，即可再生性发电对于能源安全和环境可持续性至关重要。我们的研究直接解决了必须克服的障碍，以显着增加可再生能源的渗透。我们的研究的技术影响将源于我们的新框架，以分析现有选择和设计可再生整合的新型机制。这将提供新的见解和分析方法，这些方法将指导技术组成部分和协调机制的最佳组合设计。 我们的研究的教育影响源于我们在将教育与研究与研究融合在一起的认真努力。我们将为学生提供电力系统操作，优化，控制和经济学的多学科培训，以成为使智能电网愿景成为现实的领导者。