@article{Islam_Abdullah_Hossain_2020, place={Greece}, title={Optimized Controller Design for an Islanded Microgrid using Non-dominated Sorting Sine Cosine Algorithm (NSSCA) }, volume={10}, url={https://etasr.com/index.php/ETASR/article/view/3468}, DOI={10.48084/etasr.3468}, abstractNote={<p style="text-align: justify;">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.</p>}, number={4}, journal={Engineering, Technology & Applied Science Research}, author={Islam, Q. N. U. and Abdullah, S. M. and Hossain, M. A.}, year={2020}, month={Aug.}, pages={6052–6056} }