电力池拍卖中消费者支付的最小化

Shangyou Hao, George A. Angelidis, Harry Singh, A. Papalexopoulos
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引用次数: 97

摘要

本文提出了一种在集中优化框架下计算最优发电计划的新方法,使电力池用户的能源支付最小化。本文讨论了与市场结构和电力池运行有关的问题,如评标、发电机空载和启动成本回收、发电机组运行约束和市场清算价格确定。与传统的最小化总能源生产成本的单位承诺算法不同,本文提出的方法使电力池消费者的支付最小化。支付最小化目标导致不同的单位承诺和调度解决方案,并降低市场清算价格。此外,发电机空载和启动成本在调度期间的最佳分配被整合到投标评估过程中,从而进一步减少了消费者的支付。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Consumer payment minimization in power pool auctions
This paper presents a new methodology within the framework of centralized optimization for calculating optimal generation schedules that minimize energy payments by power pool consumers. This paper addresses issues related to market structure and the operation of power pools, such as bid evaluation, generator no-load and start-up cost recovery, generator unit operating constraints and market clearing price determination. Unlike conventional unit commitment algorithms that minimize total energy production costs, the method presented here minimizes payments by power pool consumers. A payment minimization objective leads to a different unit commitment and dispatch solution, and lower market clearing prices. Additionally, optimal allocation of generator no-load and start-up costs over the scheduling period is integrated in the bid evaluation process, leading to a further reduction in consumer payments.
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