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DOI: 10.14569/IJACSA.2018.091203
PDF

An Optimal Control Load Demand Sharing Strategy for Multi-Feeders in Islanded Microgrid

Author 1: Muhammad Zahid Khan
Author 2: Muhammad Mansoor Khan
Author 3: Xu Xiangming
Author 4: Umar Khalid
Author 5: Muhammad Ahmed Usman Rasool

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 9 Issue 12, 2018.

  • Abstract and Keywords
  • How to Cite this Article
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Abstract: For the operation of autonomous microgrid (MG), an essential task is to meet the load demand sharing using multiple distributed generation (DG) units. The conventional droop control methods and its numerous variations have been developed in the literature in order to realize proportional power sharing amongst such multiple DG units. However, the conventional droop control strategies are subjected to power sharing error because of non-trivial feeder impedances of medium-voltage MGs. Further, complex MGs configurations (mesh or looped networks) usually make to reactive power sharing and system voltage regulation more challenging. This paper presents an optimal control strategy in order to perform the proportional power sharing and voltage regulation for multiple feeders in islanded AC MGs. The case study simulation for optimizing the power sharing and voltage regulations in proposed control strategy has been verified through using MATLAB/Simulink systems.

Keywords: Optimal control; power sharing; voltage regulation; MG

Muhammad Zahid Khan, Muhammad Mansoor Khan, Xu Xiangming, Umar Khalid and Muhammad Ahmed Usman Rasool, “An Optimal Control Load Demand Sharing Strategy for Multi-Feeders in Islanded Microgrid” International Journal of Advanced Computer Science and Applications(IJACSA), 9(12), 2018. http://dx.doi.org/10.14569/IJACSA.2018.091203

@article{Khan2018,
title = {An Optimal Control Load Demand Sharing Strategy for Multi-Feeders in Islanded Microgrid},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2018.091203},
url = {http://dx.doi.org/10.14569/IJACSA.2018.091203},
year = {2018},
publisher = {The Science and Information Organization},
volume = {9},
number = {12},
author = {Muhammad Zahid Khan and Muhammad Mansoor Khan and Xu Xiangming and Umar Khalid and Muhammad Ahmed Usman Rasool}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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