جلد 7، شماره 3 - ( 6-1390 )                   جلد 7 شماره 3 صفحات 203-212 | برگشت به فهرست نسخه ها


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Yousefi S, Parsa Moghaddam M, Johari Majd V. Agent-Based Modeling of Day-Ahead Real Time Pricing in a Pool-Based Electricity Market. IJEEE. 2011; 7 (3) :203-212
URL: http://ijeee.iust.ac.ir/article-1-367-fa.html
Agent-Based Modeling of Day-Ahead Real Time Pricing in a Pool-Based Electricity Market. . 1390; 7 (3) :203-212

URL: http://ijeee.iust.ac.ir/article-1-367-fa.html


چکیده:   (3375 مشاهده)
In this paper, an agent-based structure of the electricity retail market is presented based on which day-ahead (DA) energy procurement for customers is modeled. Here, we focus on operation of only one Retail Energy Provider (REP) agent who purchases energy from DA pool-based wholesale market and offers DA real time tariffs to a group of its customers. As a model of customer response to the offered real time prices, an hourly acceptance function is proposed in order to represent the hourly changes in the customer’s effective demand according to the prices. Here, Q-learning (QL) approach is applied in day-ahead real time pricing for the customers enabling the REP agent to discover which price yields the most benefit through a trial-and-error search. Numerical studies are presented based on New England day-ahead market data which include comparing the results of RTP based on QL approach with that of genetic-based pricing.
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نوع مطالعه: Research Paper | موضوع مقاله: 1-Market Deregulation
دریافت: ۱۳۸۹/۱۱/۲ | پذیرش: ۱۳۹۰/۶/۲۶ | انتشار: ۱۳۹۲/۱۰/۹

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