An Optimization Decomposition Framework for Principled Multi-Timescale Market Design and Co-Optimization

有原则的多时间尺度市场设计和协同优化的优化分解框架

基本信息

批准号：
1711188
负责人：
Enrique Mallada
金额：
$ 35.09万
依托单位：
Johns Hopkins University
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2017
资助国家：
美国
起止时间：
2017-07-01 至 2021-06-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1711188&HistoricalAwards=false
关键词：
Optimization Decomposition Framework Principled Multi

项目摘要

The United States electricity generation mix is undergoing a fundamental transformation. Older thermal generation units, which can be reliably scheduled depending on system needs, are being replaced by newer renewable-based units with substantially different operational constraints. As a result, the core principles under which existing markets operate are rapidly evolving. New Federal Energy Regulatory Commission regulations in response to the increasing variability and uncertainty that renewable generation introduces have spurred Independent System Operators to make fundamental market design changes. However, the existing design process for market products, which include heavy stakeholder involvement as well as some (but not extensive) numerical testing, often has an ad-hoc flavor and uncertain outcomes. Also, the complex interactions that arise, due to the simultaneous participation of resources in several markets operating at different timescales, have caused some of the recently designed new markets and products to lead to counter-intuitive outcomes. This work addresses these challenges by developing analytical tools and thorough simulation setups that can support more effective market designs based on a sound theoretical framework that takes into account the interdependencies of decisions across markets and time scales.This project develops a principled market design methodology that can evaluate the performance of electricity market products for systems with variable energy resources and other emerging technologies. Central to this research is a novel top-down approach that decomposes the operator objectives into desired market products while identifying multi-market interactions, even across time-scales, and communications requirements for co-optimization. This methodology does not aim to redefine from scratch the whole market ecosystem already in place. Instead, the decomposition approach seeks to define suitable subproblems that fit within the existing architecture, which allows comparisons between the new solution and existing market designs, and the identification of missing market components. To show its relevance to current market design challenges, the proposed approach will be first applied in the design of coordinated real-time energy and regulation markets, and subsequently, be augmented to include additional market products and timescales. The benefits of the proposed market designs will be assessed using extensive simulations of detailed market models that will be run on realistic simulation setups. Thus this research includes a mix of innovative design and algorithmic development grounded in deep knowledge of existing and practical market operation structures and business rules, which will be informed by collaborations with the California Independent System Operator, the Pennsylvania, Jersey, Maryland (PJM) market monitor, and the Electric Power Research Institute. In this way, this work intends to provide novel and beneficial research results that are directly applicable to existing and new electricity markets.

美国发电的组合正在进行基本转变。可以根据系统需求可靠地安排的较旧的热生成单元被具有根本不同的操作约束的较新的基于可再生的单元所取代。结果，现有市场运营的核心原则正在迅速发展。新的联邦能源监管委员会法规响应可再生生成的可变性和不确定性的日益增加，促使独立系统运营商进行基本的市场设计变化。但是，现有的市场产品设计过程包括大量利益相关者参与以及一些（但不是广泛的）数值测试，通常具有临时风味和不确定的结果。同样，由于资源在不同时间标准运营的几个市场中同时参与资源，出现的复杂互动引起了一些最近设计的新市场和产品，从而导致了违反直觉的结果。这项工作通过开发分析工具和彻底的仿真设置来解决这些挑战，这些设置可以基于合理的理论框架来支持更有效的市场设计，该框架考虑了跨市场和时间范围的决策的相互依赖性。该项目可以开发一种可以评估具有可变能源资源和其他Emering技术的系统的电力市场产品的原则性市场设计方法。这项研究的核心是一种新颖的自上而下的方法，它将操作员目标分解为所需的市场产品，同时识别多市场交互，即使在时间范围内，以及对合作式化的通信要求。该方法并非旨在从刮擦整个市场生态系统中重新定义。取而代之的是，分解方法试图定义适合现有体系结构的合适子问题，从而可以在新解决方案和现有市场设计之间进行比较，并识别缺失的市场组件。为了显示其与当前市场设计挑战的相关性，该建议的方法将首先应用于协调的实时能源和监管市场的设计，然后将其增强，以包括其他市场产品和时间表。拟议市场设计的好处将通过大量详细的市场模型进行评估，这些模型将在逼真的模拟设置上运行。因此，这项研究包括创新设计和算法开发的结合，基于对现有和实用的市场运营结构和业务规则的深入了解，这将由与加利福尼亚独立系统运营商，宾夕法尼亚州，泽西岛，马里兰州，马里兰州（PJM）市场监护仪和电力电力研究所的合作告知。通过这种方式，这项工作旨在提供直接适用于现有和新电力市场的新颖和有益的研究结果。