An Optimal Energy Management Strategy for Standalone DC Microgrids

  • Unique Paper ID: 144827
  • Volume: 4
  • Issue: 4
  • PageNo: 158-163
  • Abstract:
  • The proposed system mainly deals with implementation of Energy Management System (EMS) toDC microgrid using maximum power point tracking (MPPT) algorithm. A coordinated and multivariable EMS isproposed that employs a wind turbine and a photovoltaic array as controllable generators by adjusting the pitchangle and the switching duty cycles and a storage system consisting of batteries. In order to realize constantcurrent, constant voltage (IU) charging regime and increase the life span of batteries, the proposed EMS requirebeing more flexible with the power curtailment feature. The proposed strategy is developed as an online nonlinearmodel predictive control (NMPC) algorithm based on individual MPPTs of the system.
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Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{144827,
        author = {Ragaraju Yugendhari and R.Chander},
        title = {An Optimal Energy Management Strategy for Standalone DC Microgrids},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {4},
        number = {4},
        pages = {158-163},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=144827},
        abstract = {The proposed system mainly deals with implementation of Energy Management System (EMS) toDC microgrid using maximum power point tracking (MPPT) algorithm. A coordinated and multivariable EMS isproposed that employs a wind turbine and a photovoltaic array as controllable generators by adjusting the pitchangle and the switching duty cycles and a storage system consisting of batteries. In order to realize constantcurrent, constant voltage (IU) charging regime and increase the life span of batteries, the proposed EMS requirebeing more flexible with the power curtailment feature. The proposed strategy is developed as an online nonlinearmodel predictive control (NMPC) algorithm based on individual MPPTs of the system.},
        keywords = {Battery Management, Maximum Power Point Tracking (MPPT), Nonlinear Model Predictive Control (NMPC), Power Sharing, and Voltage Regulation.},
        month = {},
        }

Cite This Article

  • ISSN: 2349-6002
  • Volume: 4
  • Issue: 4
  • PageNo: 158-163

An Optimal Energy Management Strategy for Standalone DC Microgrids

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