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: 1608722
• 负责人: Timothy Hansen
• 金额: $ 15.37万
• 依托单位: South Dakota 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 2020-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1608722&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.

该研究项目涉及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，例如在炎热的夏天，增加的电力由称为调峰机组的低效和污染发电机提供。如果需求可以从这个高峰时间转移或消除，那么电力就可以以可持续的，节能的方式产生和消耗。在这个项目中，我们介绍了一个协调的多电压水平的能源管理系统，以减少高峰电力需求，这有助于可持续能源的未来为美国该项目的范围预计将显着和积极影响的几个领域至关重要的未来电力系统，包括集成，协调和部署的分布式资源在终端用户领域的新方法;整个电力系统的端到端交互;电力市场和控制中心的完全放松管制;以及工程人员的发展。此外，该研究将鼓励，促进和加速新技术在电网中的部署，并帮助实现能源独立，低碳足迹，降低峰值负荷和全面放松电力管制。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，如天然气和石油输送系统、运输、水电大坝（和相关的灌溉合同）、放松管制的市场和电信。该研究将通过有针对性的K-12 STEM教育传播给特定和广泛的受众。为了实现研究项目的技术目标，提出了一个独特的基础设施框架，用于协调多电压等级多聚合规模的能源管理系统，从个人最终用户资产延伸到大规模输电网，目标是优化环境和经济的可持续性。这种转换的新方法利用聚合器实体来经由最终用户资产（例如，电动车）。介绍了与零售电价和散装电价并存的一种独特的时变需求响应电价方法--客户激励电价，并在不同的市场和系统条件下对其有效性进行了评估。为了实现新的整体聚合器为基础的需求响应能源管理系统，新的协调随机控制算法将被设计和现有的散装和零售电力市场的适用性进行评估。这些算法将使用高保真建模和联合仿真进行评估，包括新开发的可持续性指标，市场和电力系统效率，以及算法在独特测试平台上对现实规模电力系统的可扩展性。