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CAREER: Redesign of Ancillary Services via Aggregation and Disaggregation of Information, Flexibility, and Capability

职业：通过信息、灵活性和能力的聚合和分解重新设计辅助服务

基本信息

批准号：
2238414
负责人：
Liang Du
金额：
$ 50.18万
依托单位：
Temple University
依托单位国家：
美国
项目类别：
Continuing Grant
财政年份：
2023
资助国家：
美国
起止时间：
2023-03-01 至 2028-02-29
项目状态：
未结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2238414&HistoricalAwards=false
关键词：
CAREER Redesign Ancillary Services via

项目摘要

This NSF CAREER project aims to provide the theoretical foundation of aggregating and disaggregating nodal generation capacity, flexibility, and information, which will allow exploiting the full potential of distributed energy resources and electrified transportation in future decarbonized power grids. The project will transform the conventional energy and ancillary service co-optimization-based power grid operation scheme into a novel capacity-flexibility dispatch and redispatch control framework. This will be achieved by converting existing resource planning problems with system-wide requirements into granular control problems with multi-scale, multi-domain nodal requirements. The intellectual merits of the project include developing nodal demand, capacity, flexibility composite models and computationally efficient aggregation algorithms with guaranteed characteristics under uncertainty. The broader impacts of the project include promoting the integration of research and education for students with diverse backgrounds. Pre-college and undergraduate students, especially from underrepresented groups, will benefit from resulted summer research programs, workshops, capstone projects, and open-access curriculum materials. If successful, this project will also provide power system operators with technology advancements to integrating large-scale renewable energy and enhancing grid resilience.Uncertainties by fast-growing penetration of distributed energy resources, proliferation of electrified transportation, and climate change intertwine and amplify challenges posed on power system reliability. Consequently, widespread and prolonged power outages have been occurring increasingly more frequently and severely in recent years, which illustrates the inadequacy of existing ancillary services provided by reserving unloaded capacity on generation resources. The proposed project will redesign conventional resource planning-based ancillary services into a novel capacity-flexibility dispatch/redispatch control problem through three major technical innovations: (1) Mathematical models and effective aggregation of nodal flexibility provided by both distributed energy resources and electrified transportation through novel cost-aware, multi-period optimization techniques. (2) Computationally effective, granular control policies for the proposed nodal level co-dispatch are established as theoretical co-optimization problems converted through transformations and information aggregation, which will be solved both precisely with guaranteed performance and approximately as a data-driven problem. (3) Aggregating nodal information to determine nodal ancillary service requirements by extended Minkowski sum of polytopes, which will be further integrated into a unified theoretical framework by Difference of Convex programming.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

NSF的这一职业项目旨在为聚合和分解节点发电能力、灵活性和信息提供理论基础，使分布式能源资源和电气化运输在未来的脱碳电网中能够充分发挥潜力。该项目将把基于常规能源和辅助服务协同优化的电网运行方案转变为一种新颖的容量-灵活性调度和再调度控制框架。这将通过将具有全系统要求的现有资源规划问题转变为具有多尺度、多领域节点要求的细粒度控制问题来实现。该项目的智力优势包括开发节点需求、容量、柔性组合模型和在不确定情况下具有保证特性的计算高效的聚集算法。该项目的更广泛影响包括促进为不同背景的学生进行研究和教育的一体化。大学预科和本科生，特别是来自代表性不足的群体的学生，将受益于由此产生的暑期研究计划、研讨会、顶峰项目和开放获取的课程材料。如果成功，该项目还将为电力系统运营商提供整合大规模可再生能源和增强电网弹性的技术进步。分布式能源的快速普及、电气化交通的激增以及气候变化带来的不确定性交织在一起，放大了对电力系统可靠性的挑战。因此，近年来大范围和长期停电的发生越来越频繁和严重，这表明通过在发电资源上预留空载容量提供的现有辅助服务是不够的。该项目将通过三个主要技术创新，将传统的基于资源规划的辅助服务重新设计为一种新的能力-灵活性调度/再调度控制问题：(1)通过新的成本感知的多周期优化技术，建立数学模型，有效地聚合分布式能源和电气化交通所提供的节点灵活性。(2)针对所提出的节点级联合调度建立了计算有效的粒度控制策略，通过变换和信息聚合将其转化为理论上的协同优化问题，该问题将在保证性能的情况下得到精确求解，并近似地作为数据驱动问题来求解。(3)通过扩展的多面体Minkowski求和聚合节点信息以确定节点辅助服务需求，并通过凸规划的差异进一步整合到统一的理论框架中。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。