Anticipatory response model for multi-agent based energy management system in a standalone microgrid

M. Reyasudin Basir Khan, Jagadeesh Pasupuleti, Razali Jidin

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

Abstract

In this paper, multi-agent architecture was used to provide control for standalone microgrid with distributed generations. Therefore, to achieve a faster control compared to the centralized controller, each agent incorporated with a local prediction or forecasting model to provide anticipatory responses. To accomplish their common goals successfully, the agents cooperated based on facilitator architecture with game-theory. Initially, the agents estimate its own parameters and dynamically adjust them by playing non-cooperative game with other agents. The predictive algorithm is based on autoregressive model where each agent will predict the load demand alongside renewable energy resources in order to dynamically regulate the control parameters. This will provide a faster response where the agents will anticipate future load demand and available renewable resources and adjust their parameters beforehand. Hence, this will minimize the fluctuations of voltage and frequency in the microgrid leading to more efficient power dispatch and lower power losses.

Original languageEnglish
Title of host publicationPECON 2016 - 2016 IEEE 6th International Conference on Power and Energy, Conference Proceeding
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages686-691
Number of pages6
ISBN (Electronic)9781509025473
DOIs
Publication statusPublished - 16 Jun 2017
Event6th IEEE International Conference on Power and Energy, PECON 2016 - Melaka, Malaysia
Duration: 28 Nov 201629 Nov 2016

Publication series

NamePECON 2016 - 2016 IEEE 6th International Conference on Power and Energy, Conference Proceeding

Other

Other6th IEEE International Conference on Power and Energy, PECON 2016
CountryMalaysia
CityMelaka
Period28/11/1629/11/16

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Fuel Technology

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    Khan, M. R. B., Pasupuleti, J., & Jidin, R. (2017). Anticipatory response model for multi-agent based energy management system in a standalone microgrid. In PECON 2016 - 2016 IEEE 6th International Conference on Power and Energy, Conference Proceeding (pp. 686-691). [7951647] (PECON 2016 - 2016 IEEE 6th International Conference on Power and Energy, Conference Proceeding). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PECON.2016.7951647