Frequency Stabilization of Multi Area Autonomous Hybrid Power System using Single and Multi Objective SALP Swarm Algorithm

0*, Nerella Sameera **, M. Sunil Kumar ***, J. Ayyappa ****
*,***-**** Department of Electrical and Electronics Engineering, Sir C R Reddy College of Engineering, Eluru, Andhra Pradesh, India.
** Department of Information Technology, Sir C R Reddy College of Engineering, Eluru, Andhra Pradesh, India.
Periodicity:November - January'2021
DOI : https://doi.org/10.26634/jps.8.4.17947

Abstract

This paper explores the design of load frequency controller for a multi area (two area) autonomous hybrid power system in which Distributed Generation (DG) resources are integrated. A novel controller such as 2DOFPID controller is established as a secondary controller. The controller gains are to be tuned with most popular meta-heuristic swarm intelligent technique named as Salp swarm alogrithm. The simulation results alleviates the efficacy and superiority of Salp Swarm Algorithm (SSA) being compared with other soft computing techniques such as Grasshopper optimization algorithm (GOA), Ant lion optimizer (ALO) and Particle swarm optimization (PSO) carried out under five different categories of load uncertainties.

Keywords

Distributed Generation (DG), Salp Swarm Algorithm (SSA), Grasshopper Optimization Algorithm (GOA), Ant Lion Optimizer (ALO), Particle Swarm Optimization (PSO), and 2DOFPID Controller

How to Cite this Article?

Neeli, V. S. R. P. K., Sameera, N., Kumar, M. S., and Ayyappa, J. (2021). Frequency Stabilization of Multi Area Autonomous Hybrid Power System using Single and Multi Objective SALP Swarm Algorithm. i-manager's Journal on Power Systems Engineering, 8(4), 39-49. https://doi.org/10.26634/jps.8.4.17947

References

[1]. Das, D. C., Sinha, N., & Roy, A. K. (2014). Automatic generation control of an organic rankine cycle solar–thermal/wind–diesel hybrid energy system. Energy Technology, 2(8), 721-731. https://doi.org/10.1002/ente. 201402024
[2]. Eberhart, R., & Kennedy, J. (1995). Particle swarm optimization. In Proceedings of the IEEE International Conference on Neural Networks (Vol. 4, pp. 1942-1948).
[3]. Gaur, P., Soren, N., & Bhowmik, D. (2018). Impact assessment of vehicle-to-grid technology in LFC of multiarea solar-thermal power system. International Journal of Renewable Energy Research (IJRER), 8(3), 1580-1590.
[4]. Lal, D. K., & Barisal, A. K. (2017, August). Load frequency control of AC microgrid interconnected thermal power system. In IOP Conference Series: Materials Science and Engineering (Vol. 225, No. 1, p. 012090). IOP Publishing. https://doi.org/10.1088/1757-899X/225/1/012 090
[5]. Lee, D. J., & Wang, L. (2008). Small-signal stability analysis of an autonomous hybrid renewable energy power generation/energy storage system Part I: Timedomain simulations. IEEE Transactions on Energy Conversion, 23(1), 311-320. https://doi.org/10.1109/TEC. 2007.914309
[6]. Mirjalili, S. (2015). The ant lion optimizer. Advances in Engineering Software, 83, 80-98. https://doi.org/10.1016/j. advengsoft.2015.01.010
[7]. Mirjalili, S., Gandomi, A. H., Mirjalili, S. Z., Saremi, S., Faris, H., & Mirjalili, S. M. (2017). Salp swarm algorithm: A bio-inspired optimizer for engineering design problems. Advances in Engineering Software, 114, 163-191. https:// doi.org/10.1016/j.advengsoft.2017.07.002
[8]. Pandey, S. K., Mohanty, S. R., Kishor, N., & Catalão, J. P. (2014). Frequency regulation in hybrid power systems using particle swarm optimization and linear matrix inequalities based robust controller design. International Journal of Electrical Power & Energy Systems, 63, 887-900. https://doi. org/10.1016/j.ijepes.2014.06.062
[9]. Saremi, S., Mirjalili, S., & Lewis, A. (2017). Grasshopper optimisation algorithm: Theory and application. Advances in Engineering Software, 105, 30-47. https://doi.org/ 10.1016/j.advengsoft.2017.01.004
[10]. Shankar, G., & Mukherjee, V. (2016). Load frequency control of an autonomous hybrid power system by quasioppositional harmony search algorithm. International Journal of Electrical Power & Energy Systems, 78, 715-734. https://doi.org/10.1016/j.ijepes.2015.11.091
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