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GSA-Based Design of Dual Proportional Integral Load Frequency Controllers for Nonlinear Hydrothermal Power System
Authors: M. Elsisi, M. Soliman, M. A. S. Aboelela, W. Mansour
Abstract:
This paper considers the design of Dual Proportional- Integral (DPI) Load Frequency Control (LFC), using gravitational search algorithm (GSA). The design is carried out for nonlinear hydrothermal power system where generation rate constraint (GRC) and governor dead band are considered. Furthermore, time delays imposed by governor-turbine, thermodynamic process, and communication channels are investigated. GSA is utilized to search for optimal controller parameters by minimizing a time-domain based objective function. GSA-based DPI has been compared to Ziegler- Nichols based PI, and Genetic Algorithm (GA) based PI controllers in order to demonstrate the superior efficiency of the proposed design. Simulation results are carried for a wide range of operating conditions and system parameters variations.Keywords: Gravitational Search Algorithm (GSA), Load Frequency Control (LFC), Dual Proportional-Integral (DPI) controller.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1108983
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[1] T. A. N. Wen, “Load frequency control: Problems and solutions,” Control Conference (CCC), 2011 30th Chinese. IEEE, 2011.
[2] S. K. Pandey, S. R. Mohanty, and N. Kishor, “A literature survey on load–frequency control for conventional and distribution generation power systems,” Renewable and Sustainable Energy Reviews, vol.25 no.1, pp. 318-334, 2013.
[3] Y. Zhang, L. Dong, and Z. Gao, “Load frequency control for multiplearea power systems” American Control Conference, 2009. ACC'09. IEEE, 2009.
[4] P, Surya, and S. K. Sinha, “Load frequency control of three area interconnected hydro-thermal reheat power system using artificial intelligence and PI controllers,” International Journal of Engineering, Science and Technology, vol. 4, no. 1, pp. 23-37, 2012.
[5] C. Kalyan, “Design of dual mode PI controller for load frequency control,” International Journal of Emerging Electric Power Systems vol. 11, no. 4, pp. 1-24, 2010.
[6] S. Tariq, “Perspectives in Control Engineering: Technologies, Applications, and New Directions,” Wiley-IEEE Press, 2000.
[7] M., O. P., Ashok Kumar, and G. S. Hope. “A load frequency control algorithm based on a generalized approach,” Power Systems, IEEE Transactions on, vol. 3, no. 2, pp. 375-382, 1988.
[8] M. R., and M. Mohamed Thameem Ansari, “Load frequency control using Bat inspired algorithm based dual mode gain scheduling of PI controllers for interconnected power system,” International Journal of Electrical Power & Energy Systems, vol. 64, pp. 365-374, 2015.
[9] S., and V. Rajasekaran, “Design of decentralized biased dual mode controller for load frequency control of an interconnected power system with AC/DC tie lines,” IPEC, 2010 Conference Proceedings. IEEE, 2010.
[10] O. I. Elgerd and C. E. Fosha, “Optimum megawatt-frequency control of multiarea electric energy systems,” IEEE Trans. Power App. Syst., vol. PAS-89, no. 4, pp. 556–563, Apr. 1970.
[11] C. E. Fosha and O. I. Elgerd , “The megawatt-frequency control problem-A new approach via optimal control theory,” IEEE Trans. Power App. Syst., vol. PAS-89, no. 4, pp. 563–577, Apr. 1970.
[12] S. P. Ghoshal, “Application of GA/GA-SA based fuzzy automatic generation control of a multi-area thermal generating system,” Elect. Power Syst. Res., vol. 70, pp. 115–127, 2004.
[13] C. Ismayil, R.S. Kumar, T.K. Sindhu, “Optimal fractional order PID controller for automatic generation control of two‐area power systems,” International Transactions on Electrical Energy Systems, 2014.
[14] L. Pinkag, Z. Hengjun, and L. Yuyun, “Genetic algorithm optimization for AGC of multi-area power systems,” Proc. of IEEE Region 10 conference on computers, communications, control and power engineering (TENCON’02); pp. 1818–21, 2002.
[15] H. Golpira, H. Bevrani “Application of GA optimization for automatic generation control design in an interconnected power system,” Energy Conversion and Management, vol. 52, pp. 2247-2255, 2011.
[16] Y. L. Abdel-Magid, M. A. Abido, “AGC tuning of interconnected reheat thermal systems with particle swarm optimization,” Proc. of the 2003 10th IEEE international conference on electronics, circuits and systems, vol. 1; 2003. pp. 376–9.
[17] H. Gozde, M. C. Taplamacioglu, I. Kocaarslan, and M. A. Senol,“ Particle swarm optimization based PI-controller design to load– frequency control of a two area reheat thermal power system,” J Therm Sci Technol, vol. 30, no. 1, pp. 13-21, 2010.
[18] H. Shabani, B. Vahidi, and M. Ebrahimpour, “A robust PID controller based on imperialist competitive algorithm for load-frequency control of power systems,” ISA Trans., vol. 52, no. 1, pp. 88–95, Jan. 2013.
[19] E. S. Ali, and S. M. Abd-Elazim, “Bacteria foraging optimization algorithm based load frequency controller for interconnected power system,” Int. J Electr. Power Energy Syst., vol. 33, no. 3, pp. 633–638, 2011.
[20] E. S. Ali, and S. M. Abd-Elazim, “BFOA based design of PID controller for two area Load Frequency Control with nonlinearities,” Electrical Power and Energy Systems vol. 51, pp. 224–231, 2013.
[21] J. Nanada, S. Mishra, and L. C. Saika, “Maiden application of Bacterial foraging-based optimization technique in multi-area automatic generation control,” IEEE Trans. Power Syst., vol. 24, no. 2, pp. 602- 609, May 2009.
[22] R. Esmat, Hossein Nezamabadi-Pour, and Saeid Saryazdi, “GSA: a gravitational search algorithm,” Information sciences, vol. 179, no.13, pp. 2232-2248, 2009.
[23] R. Esmat, Hossien Nezamabadi-Pour, and Saeid Saryazdi, “Filter modeling using gravitational search algorithm,” Engineering Applications of Artificial Intelligence, vol.24, no.1, pp. 117-122, 2011.
[24] P, Purwoharjono, et al, “Optimal Placement and Sizing of Thyristorcontrolled- series-capacitor using Gravitational Search Algorithm,” TELKOMNIKA (Telecommunication Computing Electronics and Control), vol. 10, no.4, pp.683-694, 2012.
[25] S. C. Tripathy, R. Balasubramanian, and PS Chandramohanan Nair, “Effect of superconducting magnetic energy storage on automatic generation control considering governor deadband and boiler dynamics,” Power Systems, IEEE Transactions on, vol. 7, no. 3, pp.1266-1273, 1992.
[26] B. Anand, A. Ebenezer Jeyakumar, “Fuzzy logic based load frequency control of hydrothermal system with non-linearities,” International Journal of Electrical and Power Engineering, vol. 3, no. 2, pp. 112-118, 2009.