Plug-in Hybrid Electric Vehicles and Electricity Markets
插电式混合动力汽车和电力市场
基本信息
- 批准号:1436749
- 负责人:
- 金额:$ 23.63万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2014
- 资助国家:美国
- 起止时间:2014-08-15 至 2019-07-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Renewable energy has been increasingly penetrating into the power grid system due to the stimulus plan from the government and its environment-friendly nature. But meanwhile the output of renewable energy (such as wind and solar) is intermittent. As a result, the increasing renewable energy penetration increases volatility for the power grid system, which is reflected as more significant electricity price fluctuations in the current deregulated electricity markets. Fortunately, the batteries of plug-in hybrid electric vehicles can serve as buffers to accommodate this by storing electricity when the renewable energy generation is high and discharging otherwise, so as to achieve power balance and flatten the electricity prices. This provides a promising win-win process of tackling renewable energy generation uncertainty and reducing fossil fuel usage, which can further achieve a sustainable integrated power-transportation system. This award supports fundamental research to efficiently integrate the plug-in hybrid electric vehicles into the power grid system at transmission and distribution levels, and show how this improves current deregulated electricity market practice. If successful, this project will help increase utilization of renewable energy and reduce greenhouse emissions for both power and transportation industry at minimum cost. By closely collaborating with Midcontinent Independent System Operator, the findings of this project can be implemented to industry faster. Finally, the underrepresented Ph.D. students will be recruited and motivated to participate in this project. Integrating plug-in hybrid electric vehicles into the power grid system is technically challenging. This research is to explore advanced stochastic optimization and game theory models to formulate problems and develop innovative solution approaches to solve the models so as to help derive optimal decisions for system operators and market participants with different objectives, such as maximizing the social welfare for the system operators and maximizing the total profit for the market participants. This study will lead to innovative trading policies for the market participants and refined market design rules to ensure fairness and cost efficiency for the electricity markets, while ensuring high utilization of renewable energy. Furthermore, the innovative solution techniques explored, including convex and monotonicity analyses for Markov decision process utilizing the problem structure, linearization and decomposition algorithms for stochastic optimization problems with equilibrium constraints, and cutting planes and branch-and-cut algorithms for multistage stochastic integer programs, will lead to methodology innovations in each corresponding field.
由于政府的刺激计划及其环保特性,可再生能源越来越多地渗透到电网系统中。但与此同时,可再生能源(如风能和太阳能)的输出却是间歇性的。结果,可再生能源渗透率的提高增加了电网系统的波动性,这表现为当前放松管制的电力市场中电价波动更加显着。幸运的是,插电式混合动力汽车的电池可以作为缓冲器来适应这种情况,在可再生能源发电量较高时储存电力,在其他情况下放电,从而实现电力平衡并压平电价。这提供了一个解决可再生能源发电不确定性和减少化石燃料使用的双赢过程,可以进一步实现可持续的综合电力运输系统。该奖项支持基础研究,以将插电式混合动力电动汽车有效地集成到输电和配电层面的电网系统中,并展示这如何改善当前放松管制的电力市场实践。如果成功,该项目将有助于提高可再生能源的利用率,并以最低的成本减少电力和交通行业的温室气体排放。通过与中部大陆独立系统运营商密切合作,该项目的研究成果可以更快地应用于行业。最后,代表性不足的博士。将招募并激励学生参与该项目。将插电式混合动力电动汽车集成到电网系统中在技术上具有挑战性。本研究旨在探索先进的随机优化和博弈论模型来制定问题并开发创新的解决方法来解决模型,从而帮助具有不同目标的系统运营商和市场参与者得出最佳决策,例如最大化系统的社会福利经营者的利益,使市场参与者的总利润最大化。这项研究将为市场参与者带来创新的交易政策和完善的市场设计规则,以确保电力市场的公平性和成本效率,同时确保可再生能源的高利用率。此外,还探索了创新的解决技术,包括利用问题结构进行马尔可夫决策过程的凸性和单调性分析、具有平衡约束的随机优化问题的线性化和分解算法,以及多级随机整数规划的切割平面和分支切割算法,将引发各个相应领域的方法论创新。
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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Yongpei Guan其他文献
SIAM Conference on Optimization
SIAM 优化会议
- DOI:
10.48550/arxiv.2206.08366 - 发表时间:
2019-08-01 - 期刊:
- 影响因子:0
- 作者:
Willliam Cook;Simge Küçükyavuz;Richard Barr;D. Hochbaum;Jill Hardin;David Woodruff;Yongpei Guan;M. Anjos;M. Todd;Polytech. Montreal;A. Ben;Andrew Conn;Todd Munson;Daniel Ralph - 通讯作者:
Daniel Ralph
Bi-objective vehicle routing for hazardous materials transportation with actual load dependent risks and considering the risk of each vehicle
具有实际负载相关风险并考虑每辆车风险的危险材料运输双目标车辆路径
- DOI:
- 发表时间:
2019 - 期刊:
- 影响因子:5.8
- 作者:
Meng Zhang;Nengmin Wang;Zhengwen He;Zhen Yang;Yongpei Guan - 通讯作者:
Yongpei Guan
Two-Stage Robust Power Grid Optimization Problem
两阶段鲁棒电网优化问题
- DOI:
10.1016/j.jclepro.2016.09.223 - 发表时间:
2024-09-13 - 期刊:
- 影响因子:11.1
- 作者:
Ruiwei Jiang;Muhong Zhang;Guang Li;Yongpei Guan - 通讯作者:
Yongpei Guan
Embedded simulation on a multiprocessor job scheduling system with inspection
带检查的多处理器作业调度系统的嵌入式仿真
- DOI:
10.1016/j.cie.2008.09.011 - 发表时间:
2009-09-01 - 期刊:
- 影响因子:0
- 作者:
Kang;P. Pulat;Yongpei Guan - 通讯作者:
Yongpei Guan
Applying robust optimization to MISO Look-Ahead commitment
将稳健优化应用于 MISO 前瞻承诺
- DOI:
10.1109/pesgm.2014.6939258 - 发表时间:
2014-07-27 - 期刊:
- 影响因子:0
- 作者:
Yonghong Chen;Qianfan Wang;Xing Wang;Yongpei Guan - 通讯作者:
Yongpei Guan
Yongpei Guan的其他文献
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{{ truncateString('Yongpei Guan', 18)}}的其他基金
EAGER: Data-Driven Susceptible-Exposed-Infected-Recovered-Infected (SEIRI) Modeling and Hospital Planning and Operations for COVID-19 Pandemic
EAGER:针对 COVID-19 大流行的数据驱动的易感-暴露-感染-恢复-感染 (SEIRI) 建模以及医院规划和运营
- 批准号:
2027677 - 财政年份:2020
- 资助金额:
$ 23.63万 - 项目类别:
Standard Grant
COLLABORATIVE RESEARCH: Data-Driven Risk-Averse Models and Algorithms for Power Generation Scheduling with Renewable Energy Integration
合作研究:数据驱动的可再生能源发电调度风险规避模型和算法
- 批准号:
1609794 - 财政年份:2016
- 资助金额:
$ 23.63万 - 项目类别:
Standard Grant
Collaborative Research: Travel Support for Students to Attend the Industrial and Systems Engineering Research Conference (ISERC) 2014; Montreal, Canada; 31 May to 3 June 2014
合作研究:为学生参加 2014 年工业与系统工程研究会议 (ISERC) 提供差旅支持;
- 批准号:
1434256 - 财政年份:2014
- 资助金额:
$ 23.63万 - 项目类别:
Standard Grant
Chance-Constrained and Robust Optimization for Power Systems with Intermittent Renewable Generation
间歇性可再生能源发电电力系统的机会约束和鲁棒优化
- 批准号:
1202264 - 财政年份:2012
- 资助金额:
$ 23.63万 - 项目类别:
Standard Grant
Polyhedral Combinatorics and Algorithms for Stochastic Integer Programming
随机整数规划的多面体组合和算法
- 批准号:
0942154 - 财政年份:2009
- 资助金额:
$ 23.63万 - 项目类别:
Standard Grant
CAREER: A Study of Stochastic and Robust Integer Programming: Algorithms, Computations and Applications
职业:随机和鲁棒整数规划研究:算法、计算和应用
- 批准号:
0942156 - 财政年份:2009
- 资助金额:
$ 23.63万 - 项目类别:
Standard Grant
CAREER: A Study of Stochastic and Robust Integer Programming: Algorithms, Computations and Applications
职业:随机和鲁棒整数规划研究:算法、计算和应用
- 批准号:
0748204 - 财政年份:2008
- 资助金额:
$ 23.63万 - 项目类别:
Standard Grant
Polyhedral Combinatorics and Algorithms for Stochastic Integer Programming
随机整数规划的多面体组合和算法
- 批准号:
0700868 - 财政年份:2007
- 资助金额:
$ 23.63万 - 项目类别:
Standard Grant
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Optimised joining technologies for battery enclosures in plug-in hybrid and fully electric vehicles.
插电式混合动力汽车和纯电动汽车电池外壳的优化连接技术。
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