Understanding the Complex Impact of Convergence Bids on Wholesale Electricity Markets: Current and Future Implications

了解融合投标对批发电力市场的复杂影响:当前和未来的影响

基本信息

项目摘要

The objective of this project is to build an analytical foundation and new mathematical tools to investigate and explain the complex and sometimes counter-intuitive results of placing convergence bids (CBs), a.k.a., virtual bids (VBs), in wholesale electricity markets. Several Independent System Operators (ISOs) in the United States have adopted CBs with the general assumption that CBs would enhance market efficiency by lowering the gap between the prices in the day-ahead market (DAM) and prices in the real-time market (RTM). However, analysis of ISO market data over the past few years has led to a current state of uncertainty and debate about the true advantages or disadvantages of CBs in electricity markets and their impact on utility customers and generation firms. What is alarming is the reason behind having such debates: there is currently no clear scientific understanding of how CBs work (or don't work) in wholesale electricity markets. However, the PI's preliminary studies have shown that some of the concerns that are recently raised by ISOs about CBs are fundamental and have root causes that can be understood through mathematical analysis and illustrative examples. In brief, many of these issues are due to the physics of transmission lines, generators, and loads, which do not allow application of the generally accepted principles of market efficiency as observed in trading in other financial and commodity marketplaces. The intellectual merit in this proposal is to provide scientific fundamentals, in the form of mathematical analysis and illustrative examples and case studies, which can help to ultimately resolve the current state of uncertainty and debate on the subject of CBs in ISO markets. The intellectual advances in this project will be shaped and organized around three main research thrust themes: 1) characterizing the impact of CBs on price convergence; 2) characterizing the impact of CBs on overall market performance; and 3) explaining the current and future implications of the results and making recommendations to enhance the potential benefits of CBs while avoiding their potential detrimental impact in existing and emerging electricity markets.
该项目的目标是建立一个分析基础和新的数学工具,以调查和解释在批发电力市场中进行聚合投标(CB)(又称虚拟投标(VB))的复杂且有时违反直觉的结果。美国的一些独立系统运营商 (ISO) 已采用 CB,其普遍假设是 CB 将通过缩小日前市场 (DAM) 价格与实时市场 (RTM) 价格之间的差距来提高市场效率。 )。然而,过去几年对 ISO 市场数据的分析导致了当前关于 CB 在电力市场中的真正优势或劣势及其对公用事业客户和发电公司影响的不确定性和争论。令人担忧的是引发此类争论的原因:目前对于CB如何在批发电力市场中发挥作用(或不起作用)还没有明确的科学认识。然而,PI 的初步研究表明,ISO 最近提出的一些关于 CB 的担忧是根本性的,其根本原因可以通过数学分析和说明性示例来理解。简而言之,其中许多问题是由于传输线、发电机和负载的物理特性造成的,这些物理特性不允许应用在其他金融和商品市场的交易中观察到的普遍接受的市场效率原则。该提案的智力价值是以数学分析、说明性示例和案例研究的形式提供科学基础,这有助于最终解决 ISO 市场中关于 CB 主题的不确定性和争论。该项目的智力进展将围绕三个主要研究主题进行塑造和组织:1)表征CB对价格趋同的影响; 2)描述CB对整体市场表现的影响; 3) 解释结果对当前和未来的影响,并提出建议,以增强CB的潜在效益,同时避免其对现有和新兴电力市场的潜在不利影响。

项目成果

期刊论文数量(8)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
A Data-Driven Convergence Bidding Strategy Based on Reverse Engineering of Market Participants’ Performance: A Case of California ISO
基于市场参与者绩效逆向工程的数据驱动融合投标策略:以加州 ISO 为例
  • DOI:
    10.1109/tpwrs.2021.3114362
  • 发表时间:
    2022-05
  • 期刊:
  • 影响因子:
    6.6
  • 作者:
    Samani, Ehsan;Kohansal, Mahdi;Mohsenian
  • 通讯作者:
    Mohsenian
Performance Accuracy Scores in CAISO and MISO Regulation Markets: A Comparison Based on Real Data and Mathematical Analysis
CAISO 和 MISO 监管市场的性能准确性得分:基于真实数据和数学分析的比较
  • DOI:
    10.1109/tpwrs.2018.2816808
  • 发表时间:
    2018-03-16
  • 期刊:
  • 影响因子:
    6.6
  • 作者:
    Ashkan Sadeghi;Hamed Mohsenian
  • 通讯作者:
    Hamed Mohsenian
A Data-Driven Study to Discover, Characterize, and Classify Convergence Bidding Strategies in California ISO Energy Market
一项数据驱动的研究,旨在发现、描述和分类加州 ISO 能源市场的融合投标策略
A Physics-Aware MIQP Approach to Harmonic State Estimation in Low-Observable Power Distribution Systems Using Harmonic Phasor Measurement Units
使用谐波相量测量单元进行低可观测配电系统谐波状态估计的物理感知 MIQP 方法
  • DOI:
    10.1109/tsg.2022.3207196
  • 发表时间:
    2023-05-01
  • 期刊:
  • 影响因子:
    9.6
  • 作者:
    Fatemeh Ahmadi;Hamed Mohsenian
  • 通讯作者:
    Hamed Mohsenian
Understanding Convergence Bids During Blackouts: Analytical Results and Real-World Implications
了解停电期间的收敛出价:分析结果和现实世界的影响
  • DOI:
    10.1109/tpwrs.2022.3208227
  • 发表时间:
    2023-07
  • 期刊:
  • 影响因子:
    6.6
  • 作者:
    Samani, Ehsan;Mohsenian
  • 通讯作者:
    Mohsenian
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Amir-Hamed Mohsenian-Rad其他文献

Amir-Hamed Mohsenian-Rad的其他文献

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{{ truncateString('Amir-Hamed Mohsenian-Rad', 18)}}的其他基金

Collaborative Research: Learning for Safe and Secure Operation of Grid-Edge Resources
协作研究:学习电网边缘资源的安全可靠运行
  • 批准号:
    2330155
  • 财政年份:
    2024
  • 资助金额:
    $ 26.73万
  • 项目类别:
    Standard Grant
RAPID/Collaborative Research: Linking Household and Infrastructure Data to Understand the Impacts of Winter Storm Uri in Texas
快速/协作研究:将家庭和基础设施数据联系起来,了解德克萨斯州冬季风暴乌里的影响
  • 批准号:
    2141203
  • 财政年份:
    2021
  • 资助金额:
    $ 26.73万
  • 项目类别:
    Standard Grant
EAGER-DynamicData: A Hierarchical Approach to Dynamic Big Data Analysis in Power Infrastructure Security
EAGER-DynamicData:电力基础设施安全动态大数据分析的分层方法
  • 批准号:
    1462530
  • 财政年份:
    2015
  • 资助金额:
    $ 26.73万
  • 项目类别:
    Standard Grant
Collaborative Research: A Unified Approach to Quantifying Market Power in the Future Grid
协作研究:量化未来电网市场力量的统一方法
  • 批准号:
    1307756
  • 财政年份:
    2013
  • 资助金额:
    $ 26.73万
  • 项目类别:
    Standard Grant
CSR: Small:Collaborative Research: Data Center Demand Response: Coordinating the Cloud and the Smart Grid
CSR:小型:协作研究:数据中心需求响应:协调云和智能电网
  • 批准号:
    1319798
  • 财政年份:
    2013
  • 资助金额:
    $ 26.73万
  • 项目类别:
    Standard Grant
CAREER: Self-Organizing Demand Side Management for Smart Grid: A Dynamic Game-Theoretic Framework
职业:智能电网的自组织需求侧管理:动态博弈论框架
  • 批准号:
    1149735
  • 财政年份:
    2012
  • 资助金额:
    $ 26.73万
  • 项目类别:
    Standard Grant
CAREER: Self-Organizing Demand Side Management for Smart Grid: A Dynamic Game-Theoretic Framework
职业:智能电网的自组织需求侧管理:动态博弈论框架
  • 批准号:
    1253516
  • 财政年份:
    2012
  • 资助金额:
    $ 26.73万
  • 项目类别:
    Standard Grant

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