Optimized Controller Design for an Islanded Microgrid using Non-dominated Sorting Sine Cosine Algorithm (NSSCA)

Authors

  • Q. N. U. Islam Electrical and Electronic Engineering Department, Islamic University of Technology (IUT), Bangladesh
  • S. M. Abdullah Electrical and Electronic Engineering Department, Islamic University of Technology, Bangladesh
  • M. A. Hossain Electrical and Electronic Engineering Department, Islamic University of Technology, Bangladesh
Volume: 10 | Issue: 4 | Pages: 6052-6056 | August 2020 | https://doi.org/10.48084/etasr.3468

Abstract

In order to cope with the increasing energy demand, microgrids emerged as a potential solution which allows the designer a lot of flexibility. The optimization of the controller parameters of a microgrid ensures a stable and environment friendly operation. Non-dominated Sorting Sine Cosine Algorithm (NSSCA) is a hybrid of Sine Cosine Algorithm and Non-dominated Sorting technique. This algorithm is applied to optimize the control parameters of a microgrid which incorporates both static and dynamic load. The obtained results are compared with the results of the established Non-dominated Sorting Genetic Algorithm-II (NSGA-II) in order to justify the proposal of the NSSCA. The average time needed to converge in NSSCA is 7.617s whereas NSGA-II requires an average of 10.660s. Moreover, the required number of iterations for NSSCA is 2 which is significantly less in comparison to the 12 iterations in NSGA-II.

Keywords:

multi-objective, NSGA-II, NSSCA, dynamic load, static load, SPSS

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How to Cite

[1]
Q. N. U. Islam, S. M. Abdullah, and M. A. Hossain, “Optimized Controller Design for an Islanded Microgrid using Non-dominated Sorting Sine Cosine Algorithm (NSSCA) ”, Eng. Technol. Appl. Sci. Res., vol. 10, no. 4, pp. 6052–6056, Aug. 2020.

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