Application of Invasive Weed Optimization Algorithm to Optimally Design Multi-Staged PID Controller for LFC Analysis

NIMAI CHARAN PATEL, MANOJ KUMAR DEBNATH, BINOD KUMAR SAHU, SUBHRANSU SEKHAR DASH, RAMAZAN BAYINDIR

Abstract


This article presents the study of frequency regulation of a solar energy based two area integrated power system equipped with multi-staged PID & conventional PID controller. To optimize the parameters of the projected multi-staged PID controllers, invasive weed optimization algorithm (IWOA) is employed. A disturbance to the extent of 0.01 p.u. is injected to the control area-1 to examine the effectiveness of the controllers in maintaining the system stability. Comparison of the results with respect to the magnitude of oscillations and settling time indicates that the proposed multi-staged PID controller outperforms the classical PID controller. The projected multi-staged PID controller optimised by the aforesaid algorithm (IWOA) helps in attaining nominal values of the tie-line power & frequency deviations during large parametric variation of the system and variation of system condition. Robustness of the proposed control strategy is established under various conditions such as (i) inclusion of a time delay of 0.7 s in each control area, (ii) wide variations of the system parameters and (iii) application of a random loading pattern in area 1.


Keywords


Load frequency control, invasive weed optimization algorithm, thermal-solar power system, multi-staged PID controller

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References


P. Kundur, N. J. Balu, and M. G. Lauby, Power system stability and control. Vol. 7. New York: McGraw-hill, 1994.

P. Kumar, and D. P. Kothari, "Recent philosophies of automatic generation control strategies in power systems", IEEE transactions on power systems, Vol. 20, No. 1, pp: 346-357, 2005.

J. Nanda, & B. L. Kaul, "Automatic generation control of an interconnected power system", Proceedings of the Institution of Electrical Engineers, IET, Vol. 125, No. 5, pp. 385-390, May 1978.

H. Gozde, and M. C. Taplamacioglu, "Automatic generation control application with craziness based particle swarm optimization in a thermal power system", International Journal of Electrical Power & Energy Systems, Vol. 33, No.1, pp: 8-16, 2011.

S.P. Ghoshal, "Optimizations of PID gains by particle swarm optimizations in fuzzy based automatic generation control", Electric Power Systems Research, Vol. 72, No. 3, pp: 203-212, 2004.

J. Nanda, S. Mishra, and L. C. Saikia, "Maiden application of bacterial foraging-based optimization technique in multiarea automatic generation control", IEEE Transactions on power systems, Vol. 24, No. 2 pp: 602-609, 2009.

J. Nanda, A. Mangla, and S. Suri, "Some new findings on automatic generation control of an interconnected hydrothermal system with conventional controllers", IEEE Transactions on energy conversion, Vol. 21, No. 1, pp: 187-194, 2006.

S. R. Khuntia, and S. Panda, "Simulation study for automatic generation control of a multi-area power system by ANFIS approach", Applied soft computing, Vol. 12, No. 1, pp: 333-341, 2012.

R. J. Abraham, D. Das, and A. Patra, "Automatic generation control of an interconnected hydrothermal power system considering superconducting magnetic energy storage", International Journal of Electrical Power & Energy Systems, Vol. 29, No. 8, pp: 571-579, 2007.

Y. Sharma, and L. C. Saikia, "Automatic generation control of a multi-area ST–Thermal power system using Grey Wolf Optimizer algorithm based classical controllers", International Journal of Electrical Power & Energy Systems, 73, pp: 853-862, 2015.

M.K. Debnath, S. Sinha, and R. K. Mallick, "Automatic Generation Contol Including Solar Themal Power Generation with Fuzzy-PID controller with Derivative Filter", International Journal of Renewable Energy Research (IJRER), Vol.8, No. 1, pp: 26-35, 2018.

A. R. Mehrabian, and C. Lucas, "A novel numerical optimization algorithm inspired from weed colonization", Ecological informatics, Vol. 1, No. 4, pp. 355-366, 2006.

A. K. Zadeh, M. Abdel-Akher, M. Wang, & T. Senjyu, "Optimized day-ahead hydrothermal wind energy systems scheduling using parallel PSO", Renewable Energy Research and Applications (ICRERA), International Conference on. IEEE, pp. 1-6, 2012.

Z. Ziadi, A. Yona, T. Senjyu, M. Abdel-Akher, & T. Funabashi, "Real time voltage control of unbalanced distribution systems with photovoltaic generation", Renewable Energy Research and Applications (ICRERA), International Conference on. IEEE, pp. 1-6, November 2012.

J. Morel, S. Y Obara., K. Sato, D. Mikawa, H. Watanabe, & T. Tanaka, "Contribution of a hydrogen storage-transportation system to the frequency regulation of a microgrid", Renewable Energy Research and Applications (ICRERA), International Conference on. IEEE, pp. 510-514, November 2015.

R. Atia, and N. Yamada, "Distributed renewable generation and storage systems sizing in deregulated energy markets", Renewable Energy Research and Applications (ICRERA), International Conference on. IEEE, pp. 258-262, November 2015.

S. Kumar and A. J. Veronica, "Load Frequency Controller Design for Microgrid Using Internal Model Approach", International Journal of Renewable Energy Research (IJRER), Vol. 7, No. 2, pp.778-786, 2017.

D.K. Yadav, T. S. Bhatti, and A. Verma, "Study of Integrated Rural Electrification System Using Wind-Biogas Based Hybrid System and Limited Grid Supply System", International Journal of Renewable Energy Research (IJRER),Vol. 7, No.1, pp.1-11, 2017.

N. S. Jayalakshmi, D. N. Gaonkar, and P. B. Nempu, "Power Control of PV/Fuel Cell/Supercapacitor Hybrid System for Stand-alone Applications", International Journal of Renewable Energy Research (IJRER), Vol. 6, No. 2, pp.672-679, 2016.

M. Ponnusamy, B. Banakara, S. S. Dash, M. Veerasamy, “Design of integral controller for load frequency control of static synchronous series compensator and capacitive energy source based multi area system consisting of diverse sources of generation employing imperialistic competition algorithmâ€, International Journal of Electrical Power & Energy Systems, Vol. 73, pp. 863-71, 2015.

K.S. Rajesh, S. S. Dash, and R. Rajagopal, "Hybrid improved firefly-pattern search optimized fuzzy aided PID controller for automatic generation control of power systems with multi-type generations." Swarm and Evolutionary Computation, 2018.

R. Sivalingam, S. Chinnamuthu, and S. S. Dash, "A modified whale optimization algorithm-based adaptive fuzzy logic PID controller for load frequency control of autonomous power generation systems", Automatika, Vol. 58, No. 4, pp: 410-421, 2017.

R. Sivalingam, S. Chinnamuthu, and S. S. Dash, "A hybrid stochastic fractal search and local unimodal sampling based multistage PDF plus (1+ PI) controller for automatic generation control of power systems." Journal of the Franklin Institute, Vol. 354, No. 12, pp: 4762-4783, 2017.

N. Manoharan, S. S. Dash, K. S. Rajesh, S. Panda, "Automatic Generation Control by Hybrid Invasive Weed Optimization and Pattern Search Tuned 2-DOF PID Controller." International Journal of Computers, Communications & Control, Vol. 12, No. 4, 2017.

N. C. Patel, M. K. Debnath, B. K. Sahu, S. S. Dash, & R. Bayindir, "Multi-Staged PID Controller Tuned by Invasive Weed optimization Algorithm for LFC Issues." 2018 7th International Conference on Renewable Energy Research and Applications (ICRERA), IEEE, pp. 1358-1362, October 2018.




DOI (PDF): https://doi.org/10.20508/ijrer.v9i1.8975.g7623

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