Equilibrium models and algorithms, with applications to energy market design, operation and policy analysis

均衡模型和算法，应用于能源市场设计、运营和政策分析

• 批准号: 1363-2013
• 负责人: Fuller, David
• 金额: $ 2.04万
• 依托单位: University of Waterloo
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=651265
• 关键词: Equilibrium; models; algorithms; applications; energy

In the operation of a competitive market for electricity, complex computer-based models determine which generators will supply electricity each hour, and the prices that will be paid for electricity generation. These models combine economic ideas, and realistic descriptions of generation and transmission technology, with modern mathematical knowledge about optimization, i.e., getting the greatest benefit from limited resources. Related optimization models are also used to explore the implications of policies on energy and the environment.****This research aims to improve the state of the art in building these models, in the corresponding operation of electricity markets, and in the use of such models for analysis of energy-environment policies.****Many of the models to be studied go beyond optimization from the point of view of one agent, such as a company, and consider instead the "equilibrium" of several interacting agents who each try to optimize. Part of the research effort will also be devoted to improving the speed of the computations, so that solutions are available quickly enough to be used in the operation of electricity markets. The speedup strategy is a "divide and conquer" approach called "decomposition." ****Another technical challenge in creation and use of equilibrium models is due to the need to represent binary decisions such as turning a generator on or off, or building a new generation facility or not. Compared with the mathematical representation of deciding on the amount of power from a generator, or the size of a new facility, which is well known now, the inclusion of binary decisions tremendously complicates the equilibrium models. The research aims to improve the state of the art in equilibrium models with binary decision variables.********

在竞争性电力市场的运作中，复杂的基于计算机的模型确定每小时由哪些发电机供电，以及发电所需支付的价格。这些模型结合了联合收割机的经济思想，以及对发电和输电技术的现实描述，以及关于优化的现代数学知识，即，从有限的资源中获得最大的利益。 相关的优化模型也被用于探索政策对能源和环境的影响。本研究旨在提高这些模型的建立、电力市场的相应运作以及这些模型在能源环境政策分析中的应用的最新水平。*许多要研究的模型超越了从一个代理（如公司）的角度进行优化，而是考虑几个相互作用的代理（每个代理都试图进行优化）的“均衡”。部分研究工作还将致力于提高计算速度，以便能够足够快地获得解决方案，用于电力市场的运作。加速策略是一种“分而治之”的方法，称为“分解”。“* 在创建和使用平衡模型方面的另一个技术挑战是由于需要表示二元决策，例如打开或关闭发电机，或者是否建造新的发电设施。 与决定发电机发电量或新设施规模的数学表示相比，现在众所周知，包含二元决策使平衡模型非常复杂。 该研究旨在改进二元决策变量均衡模型的最新技术水平。**