Collaborative Research: A Scalable Sustainability-Based Approach to a Novel Demand Response Paradigm in the Emerging Smart Grid

协作研究：新兴智能电网中新型需求响应范式的基于可扩展可持续性的方法

• 批准号: 1608898
• 负责人: Siddharth Suryanarayanan
• 金额: $ 27.13万
• 依托单位: Colorado State University
• 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: 2016-08-15 至 2020-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1608898&HistoricalAwards=false
• 关键词: Collaborative; Research; Scalable; Sustainability; Based

The research project addresses energy efficiency and sustainability issues of electricity production and consumption in the United States. When the demand on the electric power system peaks, such as on hot summer days, the increased electricity is supplied by inefficient and polluting generators called peaking units. If the demand can be shifted or removed from this peak time, then electricity can be generated and consumed in a sustainable, energy-efficient manner. In this project, we introduce new methods for a coordinated multi-voltage-level energy management system to reduce peak electricity demand, which contributes to a sustainable energy future for the U.S. The project's scope is expected to significantly and positively impact several areas of vital importance to the future electric power system, including the integration, coordination, and deployment of distributed resources in the end-user realm; end-to-end interaction across the electric power system; full deregulation of electricity markets and control centers; and development of the engineering workforce. Additionally, the research will encourage, facilitate, and accelerate the deployment of new technologies in the electric grid and help achieve energy independence, low carbon footprint, reduced peak loads, and full-scale electric deregulation. The proposed intelligent energy management systems and new sustainability metrics may impact other critical energy delivery infrastructures, such as gas and oil delivery systems, transportation, hydroelectric dams (and associated irrigation contracts), deregulated markets, and telecommunications. The research will be disseminated to specific as well as broad audiences and through targeted K-12 STEM education. The success of the project outreach efforts will be evaluated by an independent educator.To achieve the technical goals of the research project, a unique infrastructural framework is proposed for a coordinated multi-voltage-level multi-aggregation-scale energy management system, extending from the individual end-user asset to the bulk transmission grid, with the goal of optimizing environmental and economic sustainability. This transformational new method utilizes aggregator entities to perform demand response via the aggregation and control of end-user assets (e.g., electric vehicles). Customer incentive pricing, a unique time-varying pricing method for demand response that coexists with bulk power pricing and retail electricity pricing, is introduced and its effectiveness is evaluated under different market and system conditions. To realize the new holistic aggregator-based demand response energy management system, new coordinated stochastic control algorithms will be designed and their applicability for the existing bulk and retail power markets will be evaluated. These algorithms will be assessed using high-fidelity modeling and co-simulation, with respect to newly developed sustainability metrics, market and power system efficiency, and algorithm scalability to a realistic-size power system on a unique test bed.

该研究项目解决了美国电力生产和消费的能源效率和可持续性问题。当对电力系统的需求达到峰值时，例如在炎热的夏季时，增加的电力是由称为峰值单元效率低下和污染发电机提供的。如果需求可以从这个高峰时间转移或取消，则可以以可持续的节能方式产生和消耗电力。在该项目中，我们为协调的多压能源管理系统介绍了新方法，以减少电力需求，这有助于美国的可持续能源未来，预计该项目的范围将显着和对未来电力系统至关重要的几个领域，包括整合，协调，共同资源，在最终工具中的分配资源，并将其产生;电力系统之间的端到端相互作用；电力市场和控制中心的完全放松管制；和工程劳动力的发展。此外，这项研究将鼓励，促进和加速电网中新技术的部署，并有助于实现能源独立性，低碳足迹，减少峰值载荷和全面的电气放松管制。拟议的智能能源管理系统和新的可持续性指标可能会影响其他关键的能源输送基础设施，例如天然气和石油输送系统，运输，水力发电大坝（以及相关的灌溉合同），放松管制的市场和电信。这项研究将被传播到特定的和广泛的受众群体，并通过有针对性的K-12 STEM教育。为了实现研究项目的技术目标，将对项目推广工作的成功进行评估，为协调的多压级多级多级能源管理系统提出了一个独特的基础设施框架，从单个最终用户资产扩展到整体传输格栅，以达到整体传输刻痕，以实现批量传播刻痕，并具有最佳的环境和经济可持续性和经济可持续性。这种转化的新方法利用聚合器实体通过最终用户资产的汇总和控制（例如电动汽车）来执行需求响应。引入了客户激励定价，这是一种独特的随时间变化的定价方法，用于响应，并在不同的市场和系统条件下评估了其批量电力定价和零售电力定价的共存，并评估其有效性。为了实现新的基于整体聚合器的需求响应能源管理系统，将设计新的协调随机控制算法，并将评估其对现有大量和零售电力市场的适用性。这些算法将在新开发的可持续性指标，市场和电力系统效率以及算法可扩展性上使用高保真建模和共同模拟来评估这些算法，并对独特的测试床上的逼真尺寸的电源系统进行算法可伸缩性。