Pricing algorithms for the day-ahead electricity market with flexible consumer participation

O. Dalkilic, Ozan Candogan, A. Eryilmaz
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引用次数: 5

Abstract

In this paper, we consider the design of the day-ahead market for the smart electrical grid. Consumers with flexible demand and generator companies participate in the market to settle on their load and supply schedules, respectively. The market is operated by an Independent System Operator (ISO) whose purpose is to maximize social welfare while keeping load and supply balanced in the electricity network. We develop two distributed pricing algorithms that achieve optimum welfare. The first algorithm yields time-dependent market prices under convexity assumptions on utility and cost functions and the second algorithm yields bundle prices for arbitrary utility and cost functions. In both algorithms, flexible consumers and generator companies simply determine their own schedules based on the prices updated by the ISO at each iteration. We show that the participation of flexible demand in the day-ahead market reduces supply volatility, which would be present when flexible demand does not take part in price setting procedure.
具有灵活消费者参与的日前电力市场定价算法
本文研究了智能电网日前市场的设计问题。具有灵活需求的消费者和发电公司分别参与市场来确定他们的负荷和供应计划。市场由独立系统运营商(ISO)运营,其目的是在保持电网负荷和供应平衡的同时最大限度地提高社会福利。我们开发了两种实现最优福利的分布式定价算法。第一种算法在效用和成本函数的凸性假设下产生与时间相关的市场价格,第二种算法产生任意效用和成本函数的捆绑价格。在这两种算法中,灵活的消费者和发电公司只需根据ISO在每次迭代中更新的价格来确定自己的计划。研究表明,当灵活需求不参与价格制定过程时,在日前市场中灵活需求的参与降低了供应波动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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