CRISP Type 1/Collaborative Research: Computable Market and System Equilibrium Models for Coupled Infrastructures

CRISP 类型 1/协作研究：耦合基础设施的可计算市场和系统均衡模型

• 批准号: 1852765
• 负责人: Pascal Van Hentenryck
• 金额: $ 15.19万
• 依托单位: Georgia Tech Research Corporation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-08-01 至 2020-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1852765&HistoricalAwards=false
• 关键词: CRISP; Type; Collaborative; Research; Computable

This interdisciplinary research will develop computational tools and public data sets to enable the joint modeling of interdependent energy infrastructures. The work is motivated by increasing interdependencies between the U.S. electric power and natural gas infrastructures. These interdependencies arise from the dual, increasing roles of natural gas as a base-load resource (replacing coal-fired power plants retiring for economic or environmental reasons) and a balancing resource (to smooth fluctuations in variable renewable energy generation). While natural gas brings environmental benefits over coal, the increased coupling between electricity and gas systems and markets have been difficult to model with existing tools. This research program will develop tractable computational tools and supporting data sets to enable analysis of the operational or economic risks associated with this increasing interdependence and to articulate the economic and social value from increased coordination in system planning, operations and clearing of markets. The research will be beneficial to the energy systems and policy research communities through the development and dissemination of analytical tools, and will help to inform evolving U.S. policy on coordination between energy infrastructures, including electric power and natural gas. This effort will involve an integrated and interdisciplinary collaboration between experts in energy economics, computer science and optimization that will enrich not only the research community but also the education of energy systems scholars from multiple fields. The research team will create a framework for computable market and system equilibrium models that: capture non-linear aspects of AC power systems and the Weymouth gas flow equations; accurately represent the market institutions in electricity and natural gas that lead to price formation; and capture the cyclic dependence between price formation in spot natural gas markets and the price calculations in spot electricity markets. This framework will embed a market equilibrium model for natural gas within an optimization framework for the joint planning of natural gas and electric power systems. The approach will be implemented on a model of the U.S. northeastern power grid and natural gas pipeline system that is drawn from publicly-available information. The awarded research will demonstrate that this framework can produce sensible outcomes with acceptable computational performance, illustrate the framework on a series of test systems including the U.S. northeast test system, and demonstrate the value of integrated infrastructure planning for natural gas and electric power systems.

这项跨学科的研究将开发计算工具和公共数据集，以实现相互依赖的能源基础设施的联合建模。这项工作的动机是增加美国电力和天然气基础设施之间的相互依赖性。这些相互依赖性源于天然气作为基本负荷资源（取代因经济或环境原因而退役的燃煤发电厂）和平衡资源（以平滑可变可再生能源发电的波动）的双重作用。虽然天然气带来的环境效益超过了煤炭，但电力和天然气系统与市场之间日益增加的耦合很难用现有工具进行建模。该研究计划将开发易于处理的计算工具和支持数据集，以分析与这种日益相互依赖相关的运营或经济风险，并阐明在系统规划，运营和市场清算方面加强协调的经济和社会价值。该研究将通过分析工具的开发和传播对能源系统和政策研究界有益，并将有助于为美国不断变化的能源基础设施（包括电力和天然气）之间协调政策提供信息。这一努力将涉及能源经济学，计算机科学和优化专家之间的综合和跨学科合作，这不仅将丰富研究界，还将丰富来自多个领域的能源系统学者的教育。该研究小组将创建一个可计算的市场和系统均衡模型的框架：捕捉交流电力系统和韦茅斯气体流量方程的非线性方面;准确地表示导致价格形成的电力和天然气市场机构;并捕捉现货天然气市场价格形成和现货电力市场价格计算之间的循环依赖关系。该框架将在天然气和电力系统联合规划的优化框架内嵌入天然气市场均衡模型。该方法将在美国东北部电网和天然气管道系统的模型上实施，该模型来自公开信息。获奖研究将证明该框架可以产生合理的结果，具有可接受的计算性能，在包括美国东北部测试系统在内的一系列测试系统上说明该框架，并展示天然气和电力系统综合基础设施规划的价值。

项目成果

Differential Privacy for Stackelberg Games

• DOI: 10.24963/ijcai.2020/481
• 发表时间: 2020-02
• 期刊: ArXiv
• 作者: Ferdinando Fioretto;Lesia Mitridati;P. V. Hentenryck

Unit Commitment With Gas Network Awareness

• DOI: 10.1109/tpwrs.2019.2942298
• 发表时间: 2019-02
• 期刊: IEEE Transactions on Power Systems
• 影响因子: 6.6
• 作者: Geunyeong Byeon;P. Van Hentenryck

Joint Expansion Planning for Natural Gas and Electric Transmission with Endogenous Market Feedbacks

结合内生市场反馈的天然气和电力传输联合扩张规划

• 发表时间: 2018
• 期刊: Hawaii International Conference On System Sciences (HICSS-51
• 作者: Conrado Borraz-Sanchez, Russell Bent