Improved PSO based home energy management systems integrated with demand response in a smart grid

Hong Tzer Yang, Chiao Tung Yang, Chia Chun Tsai, Guan Jhih Chen, Szu Yao Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Citations (Scopus)

Abstract

This paper proposes an improved PSO (IPSO) algorithm for home energy management system (HEMS), which integrates demand response (DR) in a smart grid. Based on the time of use (TOU), the critical peak pricing (CPP), as well as the DR signals from the utility, the proposed IPSO algorithm minimizes the electricity payment by scheduling the home appliances, while satisfying the constraints set by the users. In order to find better solution, the IPSO adopts new strategies regarding initialization, chaotic inertial weight approach (CIWA), simplex crossover operation, subswarms, repair algorithm, as well as penalty factor in the evolutionary process. To verify the proposed algorithm, simulations are carried out on different kinds of households in a micro-grid, containing some important appliances, EVs, energy storage batteries, photovoltaic (PV) and wind-turbine generations. The simulation results show that the proposed algorithm achieves less electricity payments for the users, while reducing the peak demand of the distribution transformer, with minimal impacts on the users' life. As compared with the existing algorithm, the proposed algorithm is also shown to be able to find better solution for the same number of functions evaluated.

Original languageEnglish
Title of host publication2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages275-282
Number of pages8
ISBN (Electronic)9781479974924
DOIs
Publication statusPublished - 2015 Sep 10
EventIEEE Congress on Evolutionary Computation, CEC 2015 - Sendai, Japan
Duration: 2015 May 252015 May 28

Publication series

Name2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings

Other

OtherIEEE Congress on Evolutionary Computation, CEC 2015
CountryJapan
CitySendai
Period15-05-2515-05-28

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All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Computational Mathematics

Cite this

Yang, H. T., Yang, C. T., Tsai, C. C., Chen, G. J., & Chen, S. Y. (2015). Improved PSO based home energy management systems integrated with demand response in a smart grid. In 2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings (pp. 275-282). [7256902] (2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CEC.2015.7256902