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EAGER: Renewables: Fundamental allometric scalings for distribution networks with renewables

EAGER：可再生能源：可再生能源配电网络的基本异速生长缩放

基本信息

批准号：
1549883
负责人：
Ian Dobson
金额：
$ 9.25万
依托单位：
Iowa State University
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2015
资助国家：
美国
起止时间：
2015-09-01 至 2019-08-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1549883&HistoricalAwards=false
关键词：
EAGER Renewables Fundamental allometric scalings

项目摘要

In the study of many large systems that evolve through choices made by many individuals over time, mathematical relationships have found to appear that are very similar even in different applications. These relationships are often in the form of so-called scaling laws, giving an algebraic relationship between quantities that involves an exponent of one of the quantities that may measure the size of the system. As the system size grows, another system measure will change based on the scaling law. Such phenomena can be viewed as allometric scalings, since allometry has to do with the relationship between growth of parts of an organism and the growth of the organism itself. This project will study scaling laws in electric power distribution networks, and seek to determine whether such laws could be used to design more reliable power distribution systems. The design variables that could be considered include system parameters such as cable properties and structural aspects of the overall distribution network.Allometric scalings are nonlinear, power-law relationships that govern system parameters and performance. Inspired by the remarkable allometric scalings in biology, initial work by the PI in collaboration with a colleague at Oxford University has resulted in evidence of allometric scaling in observed data for blackouts in distribution networks. Moreover, the initial work suggests physics and engineering design principles that could explain these scalings and relate distribution network parameters to its reliability in terms of the possibility that customers will be disconnected from the grid. Distribution networks must be redesigned and upgraded to accommodate renewable sources and new loads. The project seeks to establish and apply the new scaling theory to help ensure the reliability of the redesigned distribution networks.

在对许多大型系统的研究中，这些系统是通过许多个体的选择而进化的，研究发现，即使在不同的应用中，数学关系也非常相似。这些关系通常以所谓的标度律的形式出现，给出了量之间的代数关系，其中涉及可以测量系统大小的量之一的指数。随着系统规模的增长，另一个系统度量将根据标度律而变化。这种现象可以被看作是异速生长，因为异速生长与生物体各部分的生长和生物体本身的生长之间的关系有关。该项目将研究电力分配网络中的比例律，并试图确定这些法律是否可以用来设计更可靠的电力分配系统。可以考虑的设计变量包括系统参数，如电缆特性和整个配电网的结构方面。异速生长标度是控制系统参数和性能的非线性幂律关系。受生物学中显着的异速生长缩放的启发，PI与牛津大学的一位同事合作的初步工作已经在配电网络停电的观测数据中发现了异速生长缩放的证据。此外，初步的工作提出了物理和工程设计原则，可以解释这些缩放和相关的配电网络参数的可靠性方面的可能性，客户将从电网断开。配电网络必须重新设计和升级，以适应可再生能源和新的负荷。该项目旨在建立和应用新的缩放理论，以帮助确保重新设计的配电网络的可靠性。