Collaborative Research: The Next-Generation Electricity Capacity and Transmission Expansion Model with Large-Scale Energy Storage and Renewable Resources
合作研究:大规模储能和可再生资源的下一代电力容量和输电扩展模型
基本信息
- 批准号:1234057
- 负责人:
- 金额:$ 20.85万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2012
- 资助国家:美国
- 起止时间:2012-08-15 至 2016-07-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The objective of this project is to use a multistage and multiscale stochastic programming approach to provide optimal solutions for long-term electricity infrastructure expansion under future uncertainties, incorporating fine temporal and spatial resolution of electricity market operations. This work will address the challenges of integrating large-scale renewable energy and energy storage resources into the electricity grid, to minimize costs and simultaneously ensure system reliability. Using a hybrid of here-and-now and wait-and-see types of modeling approaches, the proposed framework will incorporate engineering and operational details of electricity systems into long-term expansion models that would otherwise be computationally impractical. The resulting model is a multistage stochastic mixed-integer program. The model's multiscale feature makes it highly structured and decomposable. Algorithms proposed to solve the model will be based on strong reformulation and nested Dantzig-Wolfe decomposition, which are expected to greatly enhance computing speed, and consequently, advance the state-of-the-art of decomposition methods for solving large-scale problems with similar structures. If the project is successful, it will provide planning authorities the most advanced electricity system modeling tools. Through established industrial collaboration, the proposed work holds great potential to transform the current planning practice in the electricity sector, resulting in substantial savings to consumers, improved system reliability, and sustainable power systems. Such systems are expected to have a high penetration of renewable energy, energy storage, and demand-side resources. The modeling and computational framework will also provide an efficient methodology for a broad class of strategic planning problems beyond the electricity sector that exhibit multiscale characteristics. The research findings will be integrated into curriculum development and be disseminated widely to encourage testing and collaboration over the broad scientific community. The project also includes detailed plans to involve underrepresented groups in all aspects of this research through established institutional diversification and outreach programs.
本项目的目标是使用一个多阶段和多尺度随机规划的方法,以提供最佳的解决方案,为长期的电力基础设施的扩展,在未来的不确定性,结合精细的时间和空间分辨率的电力市场运营。 这项工作将解决将大规模可再生能源和储能资源整合到电网中的挑战,以最大限度地降低成本,同时确保系统的可靠性。使用混合的现在和等待和观望类型的建模方法,拟议的框架将纳入电力系统的工程和运营细节的长期扩展模型,否则将计算不切实际。由此产生的模型是一个多阶段随机混合整数规划。该模型的多尺度特性使其具有高度的结构性和可分解性。提出的算法来解决模型将基于强重构和嵌套Dantzig-Wolfe分解,这有望大大提高计算速度,从而推进最先进的分解方法来解决具有类似结构的大规模问题。如果该项目成功,将为规划部门提供最先进的电力系统建模工具。通过已建立的工业合作,拟议的工作具有巨大的潜力,可以改变电力部门目前的规划做法,从而为消费者节省大量资金,提高系统可靠性和可持续的电力系统。预计这种系统将具有可再生能源、能源储存和需求方资源的高渗透率。建模和计算框架还将提供一个有效的方法,广泛的一类战略规划问题,超越电力部门表现出多尺度特性。研究结果将纳入课程编制,并广泛传播,以鼓励广大科学界进行测试和合作。该项目还包括详细的计划,通过既定的机构多样化和外联方案,让代表性不足的群体参与这项研究的各个方面。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Andrew Liu其他文献
Prehospital Naloxone Administration Patterns During the Era of Synthetic Opioids.
合成阿片类药物时代的院前纳洛酮给药模式。
- DOI:
10.1080/10903127.2023.2184886 - 发表时间:
2023 - 期刊:
- 影响因子:2.4
- 作者:
Andrew Liu;Alexander R Nelson;Matthew Shapiro;Jeffrey Boyd;Geneva Whitmore;Daniel Joseph;D. Cone;Katherine C. Couturier - 通讯作者:
Katherine C. Couturier
Protracted ‘Pro-Addictive’ Phenotype Produced in Mice by Pre-Adolescent Phenylpropanolamine
青春期前的苯丙醇胺在小鼠中产生持久的“促成瘾”表型
- DOI:
- 发表时间:
2007 - 期刊:
- 影响因子:7.6
- 作者:
K. Szumlinski;Andrew Liu;J. Penzner;K. D. Lominac - 通讯作者:
K. D. Lominac
Tachycardia with a left bundle branch block morphology in a patient with arrhythmogenic right ventricular cardiomyopathy: What is the mechanism?
- DOI:
10.1016/j.hrthm.2007.08.009 - 发表时间:
2008-06-01 - 期刊:
- 影响因子:
- 作者:
Andrew Liu;Martin J. Gardner;Magdy N. Basta;John L. Sapp - 通讯作者:
John L. Sapp
Genome-wide association study of diabetic kidney disease highlights biology involved in renal basement membrane collagen
糖尿病肾病的全基因组关联研究强调了肾基底膜胶原蛋白的生物学作用
- DOI:
10.1101/499616 - 发表时间:
2018 - 期刊:
- 影响因子:0
- 作者:
R. Salem;Jennifer N. Todd;N. Sandholm;J. Cole;Wei;D. Andrews;M. Pezzolesi;P. McKeigue;L. Hiraki;Chengxiang Qiu;V. Nair;C. Liao;Jingjing Cao;E. Valo;S. Onengut;A. Smiles;S. McGurnaghan;Jani K. Haukka;V. Harjutsalo;E. Brennan;N. V. van Zuydam;E. Ahlqvist;Ross Doyle;T. Ahluwalia;M. Lajer;M. Hughes;Jihwan Park;J. Skupień;A. Spiliopoulou;Andrew Liu;R. Menon;Carine M. Boustany;H. Kang;R. Nelson;R. Klein;B. Klein;Kristine E. Lee;Xiaoyu Gao;M. Mauer;Silvia Maeastroni;M. L. Caramori;I. D. de Boer;Rachel G. Miller;J. Guo;A. Boright;D. Tregouet;B. Gyorgy;J. Snell;D. Maahs;S. Bull;Angelo J. Canty;C. Palmer;L. Stechemesser;B. Paulweber;R. Weitgasser;J. Sokolovska;V. Rovite;V. Pirags;E. Prakapienė;L. Radzevičienė;R. Verkauskienė;N. Panduru;L. Groop;M. McCarthy;H. Gu;A. Möllsten;H. Falhammar;K. Brismar;F. Martin;P. Rossing;T. Costacou;G. Zerbini;M. Marre;S. Hadjadj;A. McKnight;C. Forsblom;G. Mckay;C. Godson;A. Peter Maxwell;M. Kretzler;K. Suszták;H. Colhoun;A. Krolewski;A. Paterson;P. Groop;S. Rich;J. Hirschhorn;J. Florez - 通讯作者:
J. Florez
Indoor Dust Bacterial and Fungal Microbiome in Homes of Asthmatic Children from 5 US Cities
来自美国 5 个城市的哮喘儿童家庭中的室内灰尘细菌和真菌微生物组
- DOI:
10.1016/j.jaci.2021.12.297 - 发表时间:
2022-02-01 - 期刊:
- 影响因子:11.200
- 作者:
Dong-Binh Tran;Kathleen Lee-Sarwar;Erica Sodegren;Andrew Liu;Stanley Szefler;Scott Weiss;Steven Gill;George Weinstock;Augusto Litonjua - 通讯作者:
Augusto Litonjua
Andrew Liu的其他文献
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{{ truncateString('Andrew Liu', 18)}}的其他基金
EAGER: Design of Distribution-Level Electricity Markets: Demarginalization and Decentralized Learning
EAGER:配电级电力市场的设计:去边缘化和去中心化学习
- 批准号:
2129631 - 财政年份:2021
- 资助金额:
$ 20.85万 - 项目类别:
Standard Grant
CRISP 2.0 Type 1: Collaborative Research: Distributed Edge Computing to Improve Resilience of Interdependent Systems
CRISP 2.0 类型 1:协作研究:分布式边缘计算以提高相互依赖系统的弹性
- 批准号:
1832688 - 财政年份:2019
- 资助金额:
$ 20.85万 - 项目类别:
Standard Grant
Collaborative Research: Biochemical Basis of Cellular Circadian Behavior
合作研究:细胞昼夜节律行为的生化基础
- 批准号:
1854392 - 财政年份:2018
- 资助金额:
$ 20.85万 - 项目类别:
Standard Grant
Collaborative Research: Biochemical Basis of Cellular Circadian Behavior
合作研究:细胞昼夜节律行为的生化基础
- 批准号:
1656647 - 财政年份:2017
- 资助金额:
$ 20.85万 - 项目类别:
Standard Grant
CyberSEES: Type 1: Collaborative Research: Sustainability-aware Management of Interdependent Power and Water Systems
CyberSEES:类型 1:协作研究:相互依赖的电力和水系统的可持续性意识管理
- 批准号:
1539462 - 财政年份:2016
- 资助金额:
$ 20.85万 - 项目类别:
Standard Grant
Biochemical and Molecular Basis of Circadian Behavior
昼夜节律行为的生化和分子基础
- 批准号:
0920417 - 财政年份:2009
- 资助金额:
$ 20.85万 - 项目类别:
Standard Grant
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