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A Mixed Artificial Bee Colony Algorithm for the Time-of-Use Pricing Optimization

  • Huiyan Yang
  • Xianneng LiEmail author
  • Guangfei Yang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10385)

Abstract

Demand side management (DSM) is proposed to solve the contradiction between supply and demand of electricity market. To avoid the peak load, time-of-use (TOU) pricing strategy plays an important role in DSM to affect the behavior of using electricity by the users. In this paper, we proposed a mixed artificial bee colony (mABC) algorithm to TOU pricing optimization. Different from traditional research which optimizes the time division and electricity price separately, we consider these two factors together and optimize them simultaneously through the proposed mABC. The experimental results on a real-world scenario show the superiority of the mABC over traditional state-of-the-art methods.

Keywords

Demand side management Swarm intelligence Artificial bee colony Mixed optimization Time-of-use pricing 

Notes

Acknowledgments

This work is supported by the National Natural Science Foundation of China (71601028, 71671024, 71421001, 71431002). The source codes are available at http://faculty.dlut.edu.cn/li/en/article/960204/list/.

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Faculty of Management and EconomicsDalian University of TechnologyDalianChina

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