Contingency-Constrained Unit Commitment with High Penetration of Intermittent Renewables
间歇性可再生能源高渗透率的应急约束机组承诺
基本信息
- 批准号:1509666
- 负责人:
- 金额:$ 36万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2015
- 资助国家:美国
- 起止时间:2015-08-01 至 2019-07-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Reliability is a major concern for power systems, and engineers have been striving hard to keep lights on under all kinds of uncertainty, including contingencies caused by a sudden failure of a generator or a transmission line. The North American Electric Reliability Corporation (NERC) N-1 rule requires that no such single failure should result in system infeasibility, and this rule has been embedded in certain versions of the unit commitment process. The resulting contingency-constrained unit commitment(CCUC) is extremely complex, and the issue is now compounded by the drastic increase in intermittent renewables such as wind or solar. In Spain, for example, it is not uncommon that a drop of wind generation within just a few hours is equivalent to the shutdown of four nuclear units, and this has presented major challenges to system operators. Consideration of contingencies in the presence of intermittent renewables is thus a critical and urgent issue. In collaboration with ISO-NE, Southern California Edison and Alstom Grid, this proposal is on CCUC with high penetration of intermittent renewables. The problem is challenging in view of different types of uncertainties and their magnitudes, the large number of contingencies, the combinatorial nature of mixed-integer optimization, and the largeness of power systems. Our focus will be on novel formulations of interval CCUC, and on advanced optimization methods. The proposed research will have the broader impacts on managing other uncertainties, e.g., N-2 contingencies, and on other complex problems such as microgrid energy optimization. For these problems, difficulties associated with uncertain weather, electricity demand and microgrid-associated intermittent renewables can be modeled by the interval formulation. The resulting mixed-integer linear optimization problems can then benefit from our advanced optimization methods. Furthermore, the research will educate graduate and undergraduate students and professionals through courses, seminars, publications and online materials. It will also benefit high school students through their teachers? involvement in the daVinci summer project at UConn. The participations of under-represented groups will be actively sought.Specifically, Task 1 is on formulating CCUC for the co-optimization of energy and reserve considering N-1 contingencies and intermittent renewables. The novel idea lies in using intervals to describe transmission contingencies based on generation shift factors (GSFs), as opposed to analyzing contingencies one at a time. A line flow is a weighted sum of net nodal injections, where weights are GSFs. When a transmission line is tripped, GSFs will be changed. Various transmission contingencies can thus be described by varying values of GSFs, and be modeled by intervals. Conservativeness of this modeling will be alleviated through shrinking ranges of GSFs based on identifying and eliminating redundant contingency transmission constraints, and through improving interval arithmetic, e.g., by using affine arithmetic. Generator contingencies and intermittent renewables will then be incorporated within the interval optimization framework. To effectively solve the problem, Task 2 is on developing a new generation of optimization methods. The key is to synergistically integrate our latest surrogate Lagrangian relaxation(SLR), which exploits separability, with branch-and-cut, which exploits linearity. While SLR requires iterations, by novel exploitation of the invariant nature of subproblem convex hulls across iterations, the overall CPU time and solution quality will be drastically improved. In addition, parallel implementation of our approach will be explored. The method will be tested using realistic data sets from ISO-NE and CAISO.
可靠性是电力系统的一个主要问题,工程师们一直在努力在各种不确定性下保持电力供应,包括发电机或输电线路突然故障引起的意外事故。北美电力可靠性公司(NERC)的N-1规则要求,没有这样的单一故障应导致系统不可行性,这条规则已被嵌入到某些版本的机组投入过程。由此产生的应急约束机组组合(CCUC)是极其复杂的,现在这个问题由于风能或太阳能等间歇性可再生能源的急剧增加而变得更加复杂。例如,在西班牙,风力发电量在几个小时内下降相当于关闭四个核机组的情况并不罕见,这给系统运营商带来了重大挑战。因此,在间歇性可再生能源存在的情况下考虑应急措施是一个关键和紧迫的问题。与ISO-NE、南加州爱迪生公司和阿尔斯通电网公司合作,该提案涉及间歇性可再生能源渗透率高的CCUC。考虑到不同类型的不确定性及其大小、大量的突发事件、混合整数优化的组合性质以及电力系统的庞大性,该问题具有挑战性。我们的重点将是新的配方间隔CCUC,并在先进的优化方法。拟议的研究将对管理其他不确定性产生更广泛的影响,例如,N-2突发事件,以及其他复杂问题,如微电网能源优化。对于这些问题,与不确定天气、电力需求和微电网相关的间歇性可再生能源相关的困难可以通过区间公式来建模。由此产生的混合整数线性优化问题,然后可以受益于我们先进的优化方法。此外,研究将通过课程,研讨会,出版物和在线材料教育研究生和本科生和专业人士。 它也将通过他们的老师使高中学生受益?参与了康州大学的达芬奇暑期项目特别是,任务1是制定CCUC,以考虑N-1意外事件和间歇性可再生能源的能源和储备的共同优化。新的想法是在使用时间间隔来描述传输意外事件的基础上的发电转移因子(GSF),而不是分析意外事件一次一个。线流是净节点注入的加权和,其中权重是GSF。当输电线路跳闸时,GSF将发生变化。因此,各种传输突发事件可以通过改变GSF的值来描述,并且可以通过间隔来建模。通过识别和消除冗余的应急传输约束来缩小GSF的范围,并通过改进区间算法,例如,通过使用仿射算法。发电机意外事故和间歇性可再生能源将被纳入区间优化框架。为了有效地解决这个问题,任务2是开发新一代的优化方法。关键是协同整合我们最新的代理拉格朗日松弛(SLR),利用可分性,与分支和切割,利用线性。虽然SLR需要迭代,但通过新颖地利用子问题凸包在迭代过程中的不变性质,整体CPU时间和解决方案质量将大大提高。此外,还将探讨如何并行实施我们的办法。该方法将使用ISO-NE和CAISO的真实数据集进行测试。
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)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Peter Luh其他文献
Intelligent manufacturing: New advances and challenges
- DOI:
10.1007/s10845-015-1148-z - 发表时间:
2015-09-09 - 期刊:
- 影响因子:7.400
- 作者:
Hesuan Hu;Ling Wang;Peter Luh - 通讯作者:
Peter Luh
Peter Luh的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Peter Luh', 18)}}的其他基金
Efficient and Robust Electricity Markets with Intermittent Renewable Generation and Smart Metering Infrastructure
间歇性可再生能源发电和智能计量基础设施的高效、稳健的电力市场
- 批准号:
1028870 - 财政年份:2010
- 资助金额:
$ 36万 - 项目类别:
Standard Grant
Building Emergency Evacuation: Innovative Modeling and Optimization
建筑紧急疏散:创新建模与优化
- 批准号:
1000495 - 财政年份:2010
- 资助金额:
$ 36万 - 项目类别:
Standard Grant
Electricity Auction: Optimization, Market Behaviors, and Comparative Studies
电力拍卖:优化、市场行为和比较研究
- 批准号:
0621936 - 财政年份:2006
- 资助金额:
$ 36万 - 项目类别:
Standard Grant
Achieving Quality and Coherent Configuration and Operations
实现质量和一致的配置和操作
- 批准号:
0423607 - 财政年份:2004
- 资助金额:
$ 36万 - 项目类别:
Standard Grant
EPNES: Robustness, Efficiency, and Security of Electric Power Grid in a Market Environment
EPNES:市场环境下电网的稳健性、效率和安全性
- 批准号:
0323685 - 财政年份:2003
- 资助金额:
$ 36万 - 项目类别:
Standard Grant
2003 International Workshop on IT-Enabled Supply Chain Management and Logistics; December 14-16, 2003; Bangalore, India
2003年IT支持的供应链管理和物流国际研讨会;
- 批准号:
0341205 - 财政年份:2003
- 资助金额:
$ 36万 - 项目类别:
Standard Grant
ESS: Scheduling, Inventory Optimization, and Coordination of Maintenance Networks
ESS:调度、库存优化和维护网络协调
- 批准号:
0223443 - 财政年份:2002
- 资助金额:
$ 36万 - 项目类别:
Standard Grant
A New Generation of Neural Network Optimization Techniques with Applications to Manufacturing Scheduling
新一代神经网络优化技术在制造调度中的应用
- 批准号:
9813176 - 财政年份:1998
- 资助金额:
$ 36万 - 项目类别:
Standard Grant
Advanced Optimization and Cost Estimation for Utilities and Interruptible Customers
针对公用事业和不间断客户的高级优化和成本估算
- 批准号:
9726577 - 财政年份:1998
- 资助金额:
$ 36万 - 项目类别:
Standard Grant
相似国自然基金
新型IIIB、IVB 族元素手性CGC金属有机化合物(Constrained-Geometry Complexes)的合成及反应性研究
- 批准号:20602003
- 批准年份:2006
- 资助金额:26.0 万元
- 项目类别:青年科学基金项目
相似海外基金
CAREER: Frequency-Constrained Energy Scheduling for Renewable-Dominated Low-Inertia Power Systems
职业:可再生能源为主的低惯量电力系统的频率约束能量调度
- 批准号:
2337598 - 财政年份:2024
- 资助金额:
$ 36万 - 项目类别:
Continuing Grant
CAREER: Foundations of semi-infinite and equilibrium constrained optimization
职业:半无限和平衡约束优化的基础
- 批准号:
2340858 - 财政年份:2024
- 资助金额:
$ 36万 - 项目类别:
Continuing Grant
CAREER: Investigating Fluid Surface Dynamics in Constrained Geometries
职业:研究受限几何形状中的流体表面动力学
- 批准号:
2340259 - 财政年份:2024
- 资助金额:
$ 36万 - 项目类别:
Continuing Grant
NSFGEO-NERC: Collaborative Research: Exploring AMOC controls on the North Atlantic carbon sink using novel inverse and data-constrained models (EXPLANATIONS)
NSFGEO-NERC:合作研究:使用新颖的逆向模型和数据约束模型探索 AMOC 对北大西洋碳汇的控制(解释)
- 批准号:
2347992 - 财政年份:2024
- 资助金额:
$ 36万 - 项目类别:
Standard Grant
NSFGEO-NERC: Collaborative Research: Exploring AMOC controls on the North Atlantic carbon sink using novel inverse and data-constrained models (EXPLANATIONS)
NSFGEO-NERC:合作研究:使用新颖的逆向模型和数据约束模型探索 AMOC 对北大西洋碳汇的控制(解释)
- 批准号:
2347991 - 财政年份:2024
- 资助金额:
$ 36万 - 项目类别:
Standard Grant
GOALI: Fundamental Investigation of Constrained Cutting for High Performance Machining of Difficult-to-Cut Materials
GOALI:难切削材料高性能加工约束切削的基础研究
- 批准号:
2323120 - 财政年份:2024
- 资助金额:
$ 36万 - 项目类别:
Standard Grant
Collaborative Research: RI: Small: Deep Constrained Learning for Power Systems
合作研究:RI:小型:电力系统的深度约束学习
- 批准号:
2345528 - 财政年份:2023
- 资助金额:
$ 36万 - 项目类别:
Standard Grant
CAREER: Highly Tunable Dry Adhesion through Constrained Buckling
事业:通过约束屈曲实现高度可调的干附着力
- 批准号:
2239507 - 财政年份:2023
- 资助金额:
$ 36万 - 项目类别:
Standard Grant
Structure and dynamics of the subcontinental lithospheric mantle over the Central and Eastern North American continent, constrained by numerical modeling based on tomography models
基于层析成像模型的数值模拟约束北美大陆中部和东部次大陆岩石圈地幔的结构和动力学
- 批准号:
2240943 - 财政年份:2023
- 资助金额:
$ 36万 - 项目类别:
Standard Grant
Exploring AMOC controls on the North Atlantic carbon sink using novel inverse and data-constrained models (EXPLANATIONS)
使用新颖的逆向模型和数据约束模型探索 AMOC 对北大西洋碳汇的控制(解释)
- 批准号:
NE/Y005260/1 - 财政年份:2023
- 资助金额:
$ 36万 - 项目类别:
Research Grant