基于网络的电力零售市场拍卖平台

2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA) Pub Date : 2015-12-01 DOI:10.1109/ICMLA.2015.17

Burak Colak, M. Gokmen, H. Kiliç

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引用次数: 2

摘要

设计并实现了一个基于web的电力零售市场组合反向拍卖平台。在消费者方面，该系统通过建立竞争的市场环境提供更便宜的电力消费。竞争性的设置为供应商提供了一个持续的竞标渠道和增加客户数量的机会。利用现有的商业现成优化器，解决了组合拍卖中标者确定问题(NP-Hard)。实验结果表明，平台的性能关键组件(即优化器)在解决时间和内存负载方面表现相当令人满意。我们观察到不同投标人数量、每个投标人的出价与解决方案时间和内存负载值之间没有相关性。

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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A Web-Based Auction Platform for Electricity Retail Markets

A web-based combinatorial reverse auction platform for electricity retail markets is designed and implemented. At consumer side, the system provides cheaper electricity consumption by means of established competitive market environment. The competitive set up allows suppliers a continuous channel of bidding and chance to increase number of their customers. The winner determination problem of combinatorial auctions - known to be NP-Hard is solved by using available commercial off the shelf optimizer. Experimental results showed that the performance critical component of the platform (i.e. the optimizer) performs quite satisfactory in terms of solution time & memory loads. We observed that there is no correlation between different number of bidders, bids per bidder and solution time & memory load values.

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2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA)

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