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


  • 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


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.


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


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SPSS Inc. Released 2007. SPSS for Windows, Version 16.0. Chicago, SPSS Inc.


How to Cite

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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