Collaborative Research: Effective Management of Smart Grids and Smart Meters for Creating a Sustainable Energy Future
合作研究:有效管理智能电网和智能电表,创造可持续能源未来
基本信息
- 批准号:1068075
- 负责人:
- 金额:$ 14.7万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2011
- 资助国家:美国
- 起止时间:2011-07-01 至 2011-10-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The objective of this collaborative research project is to design an effective system for managing smart grids and smart meters for electricity production and consumption, with the eventual goal of helping creating a sustainable energy future. The scope of this research plan encompasses the robust management of smart grids, adaptive usage controls based on real-time information provided by smart meters, and the development of an effective mechanism for coordinating supply and demands. Smart grids refer to a new and intelligent network of electricity production facilities, transmission grids, equipped with automation software and control systems for delivering and monitoring electricity to meet the demands. Smart meters are a vital part of the smart grids technology. These meters are equipped with intelligent sensors that track the real-time consumption of energy, enabling users to monitor their electrical usage during peak versus off-peak hours. Algorithms and systems for making the smart grids more robust, and are able to withstand shocks within the systems will be developed. There will also be a focus on developing a policy for controlling energy consumption in real-time based on the information provided by the smart meters. If successful, the project will facilitate the realization of smart grid's potential by developing the necessary optimization methods, control policies, and data analysis techniques for the management of smart grids and smart meters. The results of the research will be included in the curriculum of the Master of Engineering Program in Energy Markets and Risk by the IEOR Department at UC Berkeley. The research will be translated into teaching modules that can be used for Master's students in this program. Establishment of close collaborative relationships with companies in the energy industry and DOE national labs are planned.
这个合作研究项目的目标是设计一个有效的系统来管理电力生产和消费的智能电网和智能电表,最终目标是帮助创造一个可持续的能源未来。该研究计划的范围包括智能电网的稳健管理,基于智能电表提供的实时信息的自适应使用控制,以及协调供需的有效机制的发展。智能电网是指一种新型的、智能的电力生产设施网络、输电网,配备自动化软件和控制系统,以满足电力的输送和监控需求。智能电表是智能电网技术的重要组成部分。这些电表配备了智能传感器,可以实时跟踪能源消耗,使用户能够在高峰时段和非高峰时段监控他们的用电量。算法和系统使智能电网更强大,并能够承受系统内的冲击将被开发。会议还将重点制定一项政策,根据智能电表提供的信息实时控制能源消耗。如果成功,该项目将通过开发必要的优化方法、控制政策和数据分析技术来管理智能电网和智能电表,从而促进智能电网潜力的实现。研究结果将被纳入加州大学伯克利分校IEOR系能源市场与风险工程硕士课程。研究成果将转化为教学模块,供硕士研究生使用。计划与能源行业公司和美国能源部国家实验室建立密切的合作关系。
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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Paat Rusmevichientong其他文献
UCLA Recent Work Title The Assortment Packing Problem : Multiperiod Assortment Planning for Short-Lived Products Permalink
加州大学洛杉矶分校最近的工作标题分类包装问题:短期产品的多周期分类规划永久链接
- DOI:
- 发表时间:
2012 - 期刊:
- 影响因子:0
- 作者:
Felipe Caro;Víctor Martínez;Paat Rusmevichientong - 通讯作者:
Paat Rusmevichientong
Solitaire: Man Versus Machine
纸牌:人与机器
- DOI:
- 发表时间:
2004 - 期刊:
- 影响因子:0
- 作者:
X. Yan;P. Diaconis;Paat Rusmevichientong;Benjamin Van Roy - 通讯作者:
Benjamin Van Roy
Technical Note : A Simple Greedy Algorithm for Assortment Optimization in the Two-Level Nested Logit Model
技术说明:两级嵌套 Logit 模型中分类优化的简单贪婪算法
- DOI:
- 发表时间:
2012 - 期刊:
- 影响因子:0
- 作者:
Guang Li;Paat Rusmevichientong - 通讯作者:
Paat Rusmevichientong
Revenue Management Under a Mixture of Independent Demand and Multinomial Logit Models
独立需求与多项 Logit 模型混合下的收入管理
- DOI:
10.1287/opre.2022.2333 - 发表时间:
2022 - 期刊:
- 影响因子:2.7
- 作者:
Yufeng Cao;Paat Rusmevichientong;Huseyin Topaloglu - 通讯作者:
Huseyin Topaloglu
Decentralized decision-making in a large team with local information
大型团队利用本地信息进行分散决策
- DOI:
- 发表时间:
2003 - 期刊:
- 影响因子:0
- 作者:
Paat Rusmevichientong;Benjamin Van Roy - 通讯作者:
Benjamin Van Roy
Paat Rusmevichientong的其他文献
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{{ truncateString('Paat Rusmevichientong', 18)}}的其他基金
Collaborative Research: Coordinating Offline Resource Allocation Decisions and Real-Time Operational Policies in Online Retail with Performance Guarantees
协作研究:在绩效保证下协调在线零售中的线下资源分配决策和实时运营策略
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2226901 - 财政年份:2023
- 资助金额:
$ 14.7万 - 项目类别:
Standard Grant
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$ 14.7万 - 项目类别:
Standard Grant
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协作研究:将复杂的选择行为整合到分类、库存和定价决策中
- 批准号:
1433396 - 财政年份:2014
- 资助金额:
$ 14.7万 - 项目类别:
Standard Grant
Collaborative Research: Effective Management of Smart Grids and Smart Meters for Creating a Sustainable Energy Future
合作研究:有效管理智能电网和智能电表,创造可持续能源未来
- 批准号:
1157569 - 财政年份:2011
- 资助金额:
$ 14.7万 - 项目类别:
Standard Grant
CAREER: Real-Time Stochastic Optimization with Large Structured Strategy Sets and High-Volume Data Streams
职业:具有大型结构化策略集和大容量数据流的实时随机优化
- 批准号:
1158659 - 财政年份:2011
- 资助金额:
$ 14.7万 - 项目类别:
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- 批准号:
1158658 - 财政年份:2011
- 资助金额:
$ 14.7万 - 项目类别:
Standard Grant
Collaborative Research: Adaptive Allocation Rules in High-Dimensional Settings, with Applications
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- 批准号:
0855928 - 财政年份:2009
- 资助金额:
$ 14.7万 - 项目类别:
Standard Grant
CAREER: Real-Time Stochastic Optimization with Large Structured Strategy Sets and High-Volume Data Streams
职业:具有大型结构化策略集和大容量数据流的实时随机优化
- 批准号:
0746844 - 财政年份:2008
- 资助金额:
$ 14.7万 - 项目类别:
Continuing Grant
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MSPA-MCS:协作研究:不确定性下近乎最优的多阶段决策算法:历史样本在线学习
- 批准号:
0732196 - 财政年份:2007
- 资助金额:
$ 14.7万 - 项目类别:
Standard Grant
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