Frequency control of hybrid power system by sine fu nction adapted improved whale optimisation technique

References

• Bozorgi, S. M., and S. Yazdani. 2019. “IWOA: An Improved Whale Optimization Algorithm for Optimization Problem.” Journal of Computational Design and Engineering 6 (3): 243–259. doi: 10.1016/j.jcde.2019.02.002
   Web of Science ®Google Scholar
• Digalakis, J., and K. Margaritis. 2001. “On Benchmarking Functions for Genetic Algorithms.” International Journal of Computer Mathematics 77: 481–506. doi: 10.1080/00207160108805080
   Web of Science ®Google Scholar
• Eskandar, H., A. Sadollah, A. Bahreininejad, and M. Hamdi. 2012. “Watercycle Algorithm—a Novel Metaheuristic Optimization Method for Solving Constrained Engineering Optimization Problems.” Computers & Structures 110: 151–166. doi: 10.1016/j.compstruc.2012.07.010
   Web of Science ®Google Scholar
• Fereidouni, A., A. S. Masoum, and M. Moghbel. 2015. “A new Adaptive Configuration of PID Type Fuzzy Logic Controller.” ISA Transactions 56: 222–240. doi: 10.1016/j.isatra.2014.11.010
   PubMed Web of Science ®Google Scholar
• Holland, J. H. 1992. “Genetic Algorithms.” Scientific American 267: 66–72. doi: 10.1038/scientificamerican0792-66
   PubMed Web of Science ®Google Scholar
• Hu, H., Y. Bai, and T. Xu. 2017. “Improved Whale Optimization Algorithms Based on Inertia Weights and Theirs Applications. International Journal of Circuits.” Systems and Signal Processing 11: 12–26.
   Google Scholar
• Karaboga, D., and B. Basturk. 2007. “A Powerful and Efficient Algorithm for Numerical Function Optimization: Artificial bee Colony (ABC) Algorithm.” Journal of Global Optimization 39: 459–471. doi: 10.1007/s10898-007-9149-x
   Web of Science ®Google Scholar
• Kennedy, J., and R. Eberhart. 1995. “Particle Swarm Optimization.” Proceedings of the IEEE International Conference on Neural Networks 4: 1942–1948. doi: 10.1109/ICNN.1995.488968
   Google Scholar
• Khalilpourazari, S., and S. Khalilpourazary. 2019. “An Efficient Hybrid Algorithm Based on Water Cycle and Moth-Flame Optimization Algorithms for Solving Numerical and Constrained Engineering Optimization Problems.” Soft Computing 23: 1699–1722. doi: 10.1007/s00500-017-2894-y
   Web of Science ®Google Scholar
• Khamari, D., R. K. Sahu, and S. Panda. 2020. “A Modified Moth Swarm Algorithm-Based Hybrid Fuzzy PD–PI Controller for Frequency Regulation of Distributed Power Generation System with Electric Vehicle.” Journal of Control, Automation and Electrical Systems 31: 675–692. doi: 10.1007/s40313-020-00565-0
   Web of Science ®Google Scholar
• Ling, Y., Y. Zhou, and Q. Luo. 2017. “Levy flight Trajectory-Based Whale Optimization Algorithm for Global Optimization.” IEEE Access 5: 6168–6186. doi: 10.1109/ACCESS.2017.2695498
   Web of Science ®Google Scholar
• Mafarja, M. M., and S. Mirjalili. 2017. “Hybrid Whale Optimization Algorithm with Simulated Annealing for Feature Selection.” Neurocomputing 260: 302–312. doi: 10.1016/j.neucom.2017.04.053
   Web of Science ®Google Scholar
• Mirjalili, S. 2015. “Moth-flame Optimization Algorithm: A Novel Nature Inspired Heuristic Paradigm.” Knowledge-Based Systems 89: 228–249. doi: 10.1016/j.knosys.2015.07.006
   Web of Science ®Google Scholar
• Mirjalili, S. 2016. “Dragonfly Algorithm: A new Meta-Heuristic Optimization Technique for Solving Single-Objective, Discrete and Multi-Objective Problems.” Neural Computing and Applications 27: 1053–1073. doi: 10.1007/s00521-015-1920-1
   Web of Science ®Google Scholar
• Mirjalili, S., and S. Z. M. Hashim. 2010. “A new Hybrid PSOGSA Algorithm for Function Optimization.” In Computer and Information Application (ICCIA), edited by Zhenkai Wan, 374–377. Tianjin: IEEE.
   Google Scholar
• Mohanty, P. K., B. K. Sahu, T. K. Pati, S. Panda, and S. K. Kar. 2016. “Design and Analysis of Fuzzy PID Controller with Derivative Filter for AGC in Multi-Area Interconnected Power System.” IET Generation, Transmission & Distribution 10: 3764–3776. doi: 10.1049/iet-gtd.2016.0106
   Web of Science ®Google Scholar
• Padhy, S., S. Panda, and S. Mahapatra. 2017. “A Modified GWO Technique Based Cascade PI-PD Controller for AGC of Power Systems in Presence of Plug in Electric Vehicles.” Engineering Science and Technology, an International Journal 20: 427–442. doi: 10.1016/j.jestch.2017.03.004
   Google Scholar
• Pan, I., and S. Das. 2016. “Fractional Order AGC for Distributed Energy Resources Using Robust Optimization.” IEEE Transactions on Smart Grid 7: 2175–2186. doi: 10.1109/TSG.2015.2459766
   Web of Science ®Google Scholar
• Rajesh, K. S., and S. S. Dash. 2019. “Load Frequency Control of Autonomous Power System Using Adaptive Fuzzy Based PID Controller Optimized on Improved Sine Cosine Algorithm.” Journal of Ambient Intelligence and Humanized Computing 10: 2361–2373. doi: 10.1007/s12652-018-0834-z
   Web of Science ®Google Scholar
• Rashedi, E., H. Nezamabadi-Pour, and S. Saryazdi. 2009. “GSA: A Gravitational Search Algorithm.” Information Sciences 179: 2232–2248. doi: 10.1016/j.ins.2009.03.004
   Web of Science ®Google Scholar
• Saha, N., and S. Panda. 2020. “Cosine Adapted Modified Whale Optimization Algorithm for Control of Switched Reluctance Motor.” Computational Intelligence. doi: 10.1111/coin.12310
   PubMed Web of Science ®Google Scholar
• Sahu, P. R., P. K. Hota, and S. Panda. 2018. “Modified Whale Optimization Algorithm for Fractional Order Multi Input SSSC Based Controller Design.” Optimal Control Application and Methods 39: 1802–1817. doi: 10.1002/oca.2443
   Web of Science ®Google Scholar
• Savino, M. M., and A. Mazza. 2014. “Toward Environmental and Quality Sustainability: An Integrated Approach for Continuous Improvement.” IEEE Transactions on Engineering Management 61: 171–181. doi: 10.1109/TEM.2013.2288495
   Web of Science ®Google Scholar
• Sayedali, M., and A. Lewis. 2016. “The Whale Optimization Algorithm.” Advances in Engineering Software 95: 51–67. doi: 10.1016/j.advengsoft.2016.01.008
   Web of Science ®Google Scholar
• Sivalingam, R., S. Chinnamuthu, and S. Dash. 2018. “A Modified Whale Optimization Algorithm Based Adaptive Fuzzy Logic PID Controller for Load Frequency Control of Autonomous Power Generation Systems. Journal for Control, Measurement, Electronics.” Computing and Communications 58 (4): 410–421.
   Google Scholar
• Sudha, K. R., Y. B. Raju, and A. C. Sekhar. 2012. “Fuzzy C-Means Clustering for Robust Decentralized Load Frequency Control of Interconnected Power System with Generation Rate Constraint.” International Journal of Electrical Power & Energy Systems 37: 58–66. doi: 10.1016/j.ijepes.2011.12.005
   Web of Science ®Google Scholar
• Yang, X. S., and S. Deb. 2009. “Cuckoo Search via Lévy flights.” In World Congress on IEEE Nature & Biologically Inspired Computing, edited by Ajith Abraham, Andre Carvalho, Francisco Herrera and Vijayalakshmi Pai, 9–11. Coimbatore: IEEE.
   Google Scholar
• Yao, X., Y. Liu, and G. Lin. 1999. “Evolutionary Programming Made Faster.” IEEE Transactions on Evolutionary Computation 3 (2): 82–102. doi: 10.1109/4235.771163
   Web of Science ®Google Scholar