Optimal Distributed Control of Power Grids with Multiple Alternative Energy Distributed Generation Microgrids: Towards Reliable, Sustainable and Clean Power Generation
多种替代能源分布式发电微电网的优化分布式控制:迈向可靠、可持续和清洁发电
基本信息
- 批准号:0823865
- 负责人:
- 金额:$ 31.13万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2009
- 资助国家:美国
- 起止时间:2009-01-01 至 2013-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The objective of this project is to develop a modeling and control framework for control and information exchange of power systems with alternative energy distributed generation (AEDG)sources. The research approach is to: (1) develop hybrid models for power systems containing AEDG sources; (2) develop a systematic way to achieve optimal information exchange amongdistributed controllers; (3) design local control units and supervisory controllers that control amicrogrid or a power system with multiple microgrids in a distributed fashion; (4) implement a benchmark system with multiple AEDG sources to verify the modeling and control framework and methodology.Intellectual merits: (1) Power systems with AEDG sources are modeled as hybrid systems. (2) Overall control is achieved through the combination of local control and supervisory control. (3) A formal and systematic way to design optimal information exchanges among distributed supervisors is proposed.Broader impacts: Alternative energy sources are well-known for the capability of being used forclean electricity generation and for improving energy security. Tremendous challenges are introduced in the system operation strategy, protection, communication, stability and reliability by deploying AEDG systems at a large scale. The success of this project will help us to achieve clean and sustainable electricity generation using alternative energy sources. The results of this project will also provide a systematic approach to optimal design of control and communication among distributed systems. At least one female and under-represented minority student will be involved in this project. International collaboration will be pursued to broaden the impact.
该项目的目标是开发一个模型和控制框架,用于具有替代能源分布式发电(AEDG)来源的电力系统的控制和信息交换。研究方法为:(1)建立含AEDG源的电力系统混合模型;(2)开发一种在分布式控制器之间实现最优信息交换的系统方法;(3)设计本地控制单元和监督控制器,以分布式方式控制微电网或具有多个微电网的电力系统;(4)实现一个包含多个AEDG源的基准系统,以验证建模和控制框架和方法。智能优点:(1)采用AEDG源的电力系统建模为混合系统。(2)通过局部控制与监督控制相结合实现整体控制。(3)提出了一种形式化、系统化的方法来设计分布式管理者之间的最优信息交换。更广泛的影响:替代能源以其清洁发电和提高能源安全的能力而闻名。AEDG系统的大规模部署给系统的运行策略、保护、通信、稳定性和可靠性带来了巨大的挑战。该项目的成功将有助于我们利用替代能源实现清洁和可持续的发电。该项目的结果也将为分布式系统之间的控制和通信的优化设计提供系统的方法。至少有一名女性和少数族裔学生将参与该项目。将进行国际合作以扩大影响。
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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Caisheng Wang其他文献
Tools for Analysis and Design of Distributed Resources—Part II: Tools for Planning, Analysis and Design of Distribution Networks With Distributed Resources
分布式资源分析和设计工具第二部分:分布式资源配电网规划、分析和设计工具
- DOI:
10.1109/tpwrd.2011.2116046 - 发表时间:
2011 - 期刊:
- 影响因子:4.4
- 作者:
Jorge Martínez;F. D. Leon;A. Mehrizi‐Sani;M. H. Nehrir;Caisheng Wang;Venkata Dinavahi - 通讯作者:
Venkata Dinavahi
Modeling, Configuration, and Grid Integration Analysis of Bifacial PV Arrays
双面光伏阵列的建模、配置和并网分析
- DOI:
- 发表时间:
2021 - 期刊:
- 影响因子:8.8
- 作者:
Mahdi Rouholamini;Lei Chen;Caisheng Wang - 通讯作者:
Caisheng Wang
Deep Learning-Based Weather-Related Power Outage Prediction with Socio-Economic and Power Infrastructure Data
利用社会经济和电力基础设施数据进行基于深度学习的天气相关停电预测
- DOI:
10.48550/arxiv.2404.03115 - 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Xuesong Wang;Nina Fatehi;Caisheng Wang;Masoud H. Nazari - 通讯作者:
Masoud H. Nazari
An MAS based energy management system for a stand-alone microgrid at high altitude
基于MAS的高海拔独立微电网能量管理系统
- DOI:
10.1016/j.apenergy.2015.01.016 - 发表时间:
2015-04 - 期刊:
- 影响因子:11.2
- 作者:
Meidong Xue;Xuesong Zhang;Caisheng Wang;Junhui Zhao - 通讯作者:
Junhui Zhao
Optimizing water delivery system storage and its influence on air pollutant emission reduction
优化输水系统蓄水及其对大气污染物减排的影响
- DOI:
- 发表时间:
2013 - 期刊:
- 影响因子:0
- 作者:
Steven X. Jin;Carrie Loya;Eric Tucker;A. Qaqish;Carol J. Miller;S. McElmurry;Caisheng Wang - 通讯作者:
Caisheng Wang
Caisheng Wang的其他文献
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{{ truncateString('Caisheng Wang', 18)}}的其他基金
IUCRC Phase I Wayne State University: Center for Electric, Connected and Autonomous Technologies for Mobility (eCAT)
IUCRC 第一阶段韦恩州立大学:电动、互联和自主移动技术中心 (eCAT)
- 批准号:
2231523 - 财政年份:2023
- 资助金额:
$ 31.13万 - 项目类别:
Continuing Grant
Identifying Generation and Emission Sources for Individual Loads at Specific Locations and Times: Toward Environmentally Sensitive and Guided Electricity Usage
识别特定地点和时间单个负载的发电和排放源:实现环境敏感和引导用电
- 批准号:
1508910 - 财政年份:2015
- 资助金额:
$ 31.13万 - 项目类别:
Standard Grant
Advanced Real-Time Battery Characterization and Management: Safe, Reliable, and Optimal Operation of Battery Systems for Electric-Drive Vehicles and Grid Support
先进的实时电池表征和管理:电动汽车和电网支持的电池系统的安全、可靠和优化运行
- 批准号:
1202133 - 财政年份:2012
- 资助金额:
$ 31.13万 - 项目类别:
Continuing Grant
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