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境友好的性质,可再生能源越来越多地渗透到电网系统中。但同时,可再生能源的输出(例如风和太阳能)是间歇性的。结果,不断增长的可再生能源渗透增加了电网系统的波动性,这反映为当前放松管制的电力市场中的电力价格波动更大。幸运的是,插电式混合动力电动汽车的电池可以用作缓冲液,以在可再生能源发电高并否则放电时储存电力,以实现电力平衡并弄平电价。这提供了一个有希望的双赢过程,可以解决可再生能源产生不确定性并减少化石燃料的使用,这可以进一步实现可持续的综合发电系统。该奖项支持基础研究,以在传输和分配水平下有效地将插电式混合动力电动汽车整合到电网系统中,并显示这如何改善当前的失控电力市场实践。如果成功,该项目将有助于增加可再生能源的利用,并以最低成本减少电力和运输行业的温室排放。通过与中大陆独立系统运营商密切合作,该项目的发现可以更快地实施。最后,代表性不足的博士学位学生将被招募并有动力参加该项目。在技术上,将插电式混合动力电动汽车集成到电网系统上是具有挑战性的。这项研究是为了探索先进的随机优化和游戏理论模型,以制定问题并开发创新的解决方案方法来解决模型,以帮助为具有不同目标的系统操作员和市场参与者提供最佳决策,例如最大化系统的社会福利。运营商并最大化市场参与者的总利润。这项研究将为市场参与者提供创新的交易政策,并精致的市场设计规则,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。此外,还探索了创新的解决方案技术,包括使用问题结构,线性化和分解算法的Markov决策过程的凸和单调性分析,用于与平衡限制的随机优化问题,以及用于均衡的尖端和分支机构和分支机构算法,用于多阶段的随机性Integer Integer程序,随机性随机算法将导致每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
Stochastic lot-sizing with backlogging: computational complexity analysis
- DOI:
10.1007/s10898-010-9555-3 - 发表时间:
2011-04 - 期刊:
- 影响因子:1.8
- 作者:
Yongpei Guan - 通讯作者:
Yongpei Guan
An Edge-Based Formulation for Combined-Cycle Units
联合循环机组基于边缘的公式
- DOI:
10.1109/tpwrs.2015.2443036 - 发表时间:
2016 - 期刊:
- 影响因子:6.6
- 作者:
Lei Fan;Yongpei Guan - 通讯作者:
Yongpei Guan
Pediatric Cardiac Intensive Care – Postoperative Management: Nursing Considerations
儿科心脏重症监护 – 术后管理:护理注意事项
- DOI:
- 发表时间:
2014 - 期刊:
- 影响因子:0
- 作者:
P. Lincoln;J. Ahern;Nancy J. Braudis;L. Brown;Kevin J Bullock;Janine Evans;Yongpei Guan;Wen;Nanping Sheng;M. Schroeder - 通讯作者:
M. Schroeder
A Polynomial Time Algorithm for the Stochastic Uncapacitated Lot-Sizing Problem with Backlogging
具有积压的随机无容量批量问题的多项式时间算法
- DOI:
10.1007/978-3-540-68891-4_31 - 发表时间:
2008 - 期刊:
- 影响因子:0
- 作者:
Yongpei Guan;Andrew J. Miller - 通讯作者:
Andrew J. Miller
An O(N2)-time algorithm for the stochastic uncapacitated lot-sizing problem with random lead times
具有随机交付时间的随机无容量批量问题的 O(N2) 时间算法
- DOI:
10.1016/j.orl.2010.10.004 - 发表时间:
2011 - 期刊:
- 影响因子:1.1
- 作者:
Ruiwei Jiang;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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