GSA-Based Design of Dual Proportional Integral Load Frequency Controllers for Nonlinear Hydrothermal Power System

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.




References:
[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.