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Recent Advances in Electrical & Electronic Engineering

Author(s): Deepak Kumar Lal and Ajit Kumar Barisal*

DOI: 10.2174/2352096511666180717142058

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Grasshopper Algorithm Optimized Fractional Order Fuzzy PID Frequency Controller for Hybrid Power Systems

Page: [519 - 531] Pages: 13

  • * (Excluding Mailing and Handling)

Abstract

Background: Due to the increasing demand for the electrical power and limitations of conventional energy to produce electricity.

Methods: Now the Microgrid (MG) system based on alternative energy sources are used to provide electrical energy to fulfill the increasing demand. The power system frequency deviates from its nominal value when the generation differs the load demand. The paper presents, Load Frequency Control (LFC) of a hybrid power structure consisting of a reheat turbine thermal unit, hydropower generation unit and Distributed Generation (DG) resources.

Results: The execution of the proposed fractional order Fuzzy proportional-integral-derivative (FO Fuzzy PID) controller is explored by comparing the results with different types of controllers such as PID, fractional order PID (FOPID) and Fuzzy PID controllers. The controller parameters are optimized with a novel application of Grasshopper Optimization Algorithm (GOA). The robustness of the proposed FO Fuzzy PID controller towards different loading, Step Load Perturbations (SLP) and random step change of wind power is tested. Further, the study is extended to an AC microgrid integrated three region thermal power systems.

Conclusion: The performed time domain simulations results demonstrate the effectiveness of the proposed FO Fuzzy PID controller and show that it has better performance than that of PID, FOPID and Fuzzy PID controllers. The suggested approach is reached out to the more practical multi-region power system. Thus, the worthiness and adequacy of the proposed technique are verified effectively.

Keywords: Fractional order controller, fuzzy PID controller, grasshopper optimization algorithm, load frequency control, microgrid power system, multi-area system.

Graphical Abstract

[1]
T. Ackermann, G. Andersson, and L. Söder, "Distributed generation: A definition", Electr. Power Syst. Res., vol. 57, no. 3, pp. 195-204, 2001.
[2]
G. Pepermans, J. Driesen, D. Haeseldonckx, R. Belmans, and W. D’haeseleer, "Distributed generation: Definition, benefits and issues", Energy Policy, vol. 33, no. 6, pp. 787-798, 2005.
[3]
O.I. Elgerd, Electric energy system theory: An introduction., 2nd ed McGraw-Hill, 2008.
[4]
A. Elmitwally, and M. Rashed, "Flexible operation strategy for an isolated PV-diesel microgrid without energy storage", IEEE Trans. Energ. Convers., vol. 26, no. 1, pp. 235-244, 2011.
[5]
D.K. Lal, B.B. Dash, and A.K. Akella, "Optimization of PV/Wind/Micro-Hydro/Diesel hybrid power system in HOMER for the study area", Inter. J. Electric. Eng. Inform., vol. 3, no. 3, pp. 307-325, 2011.
[6]
P. Kumar, and D.P. Kothari, "Recent philosophies of automatic generation control strategies in power systems", IEEE Trans. Power Syst., vol. 20, no. 1, pp. 346-357, 2005.
[7]
H.A. Shayeghi, H.A. Shayanfar, and A. Jalili, "Load frequency control strategies: A state-of-the-art survey for the researcher", Energy Convers. Manage., vol. 50, no. 2, pp. 344-353, 2009.
[8]
K.S. Parmar, S. Majhi, and D.P. Kothari, "Load frequency control of a realistic power system with multi source power generation", Int. J. Electr. Power Energy Syst., vol. 42, pp. 426-433, 2012.
[9]
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, pp. 633-638, 2011.
[10]
S. Panda, B. Mohanty, and P.K. Hota, "Hybrid BFOA-PSO algorithm for automatic generation control of linear and nonlinear interconnected power systems", Appl. Soft Comput., vol. 13, no. 12, pp. 4718-4730, 2013.
[11]
A.K. Barisal, and D.K. Lal, "Application of moth flame optimization algorithm for AGC of multi area interconnected power system", Int. J. Energy Optim. Eng., vol. 7, no. 1, pp. 22-49, 2018.
[12]
D.K. Lal, K.K. Bhoi, and A.K. Barisal, "Performance evaluation of MFO algorithmfor AGC of a multi area power system", Proceedings of IEEE International Conference on Signal Processing, Communication, Power and Embedded System (SCOPES). October 3-5, 2016, pp. 903-908,
[13]
H. Gozde, M.C. Taplamacioglu, and I. Kocaarslan, "Comparative performance analysis of artificial bee colony algorithm in automatic generation control for interconnected reheat thermal power system", Int. J. Electr. Power Energy Syst., vol. 42, no. 1, pp. 167-178, 2012.
[14]
A.K. Barisal, "Comparative performance analysis of teaching learning based optimization for automatic load frequency control of multi-source power systems", Int. J. Electr. Power Energy Syst., vol. 66, pp. 67-77, 2015.
[15]
L.C. Saikia, J. Nanda, and S. Mishra, "Performance comparison of several classical controllers in AGC for multi-area interconnected thermal system", Int. J. Electr. Power Energy Syst., vol. 33, pp. 394-401, 2011.
[16]
M. Raju, L.C. Saikia, and N. Sinha, "Automatic generation control of a multi-area system using ant lion optimizer algorithm based PID plus second order derivative controller", Int. J. Electr. Power Energy Syst., vol. 80, pp. 52-63, 2016.
[17]
R.K. Sahu, S. Panda, and U.K. Rout, "DE optimized parallel 2-DOF PID controller for load frequency control of power system with governor dead-band nonlinearity", Int. J. Electr. Power Energy Syst., vol. 49, pp. 19-33, 2013.
[18]
E. Yeşil, M. Güzelkaya, and I. Eksin, "Self tuning fuzzy PID type load and frequency controller", Energy Convers. Manage., vol. 45, no. 3, pp. 377-390, 2004.
[19]
S.P. Ghoshal, "Application of GA/GA-SA based fuzzy automatic generation control of a multi-area thermal generating system", Electr. Power Syst. Res., vol. 70, no. 2, pp. 115-127, 2004.
[20]
S.P. Ghoshal, "Optimizations of PID gains by particle swarm optimizations in fuzzy based automatic generation control", Electr. Power Syst. Res., vol. 72, no. 3, pp. 203-212, 2004.
[21]
B.K. Sahu, S. Pati, and S. Panda, "Hybrid differential evolution particle swarm optimisation optimised fuzzy proportional-integral derivative controller for automatic generation control of interconnected power system", IET Gener. Transm. Distrib., vol. 8, no. 11, pp. 1789-1800, 2014.
[22]
L.C. Saikia, N. Sinha, and J. Nanda, "Maiden application of bacteria foraging based fuzzy IDD controller in AGC of multi-area hydrothermal system", Int. J. Electr. Power Energy Syst., vol. 45, pp. 98-106, 2013.
[23]
D.K. Lal, and A.K. Barisal, "Comparative performances evaluation of FACTS devices on AGC with diverse sources of energy generation and SMES", Cogent Eng., vol. 4, 1, p. 1318466, 2017.
[24]
H. Bevrani, F. Habibi, P. Babahajyani, M. Watanabe, and Y. Mitani, "Intelligent frequency control in an ac microgrid: Online PSO-based fuzzy tuning approach", IEEE Trans. Smart Grid, vol. 3, no. 4, pp. 1935-1944, 2012.
[25]
N. Ghadimi, "A new hybrid algorithm based on optimal fuzzy controller in multimachine power system", Complexity, vol. 21, no. 1, pp. 78-93, 2015.
[26]
N. Ghadimi, "Genetically tuning of lead-lag controller in order to control of fuel cell voltage", Sci. Res. Essays, vol. 7, no. 43, pp. 3695-3701, 2012.
[27]
N. Ghadimi, "A. A.-Paqaleh and A. Emamhosseini, “A PSO-based fuzzy long-term multi-objective optimization approach for placement and parameter setting of UPFC", Arab. J. Sci. Eng., vol. 39, no. 4, pp. 2953-2963, 2014.
[28]
N. Ghadimi, "An adaptive neuro-fuzzy inference system for islanding detection in wind turbine as distributed generation", Complexity, vol. 21, no. 1, pp. 10-20, 2015.
[29]
M.T. Hagh, and N. Ghadimi, "Multisignal histogram based islanding detection using neuro-fuzzy algorithm", Complexity, vol. 21, no. 1, pp. 195-205, 2015.
[30]
N. Ghadimi, and M.H. Firouz, "Short-term management of hydro-power systems based on uncertainty model in electricity markets", J. Power Technol., vol. 95, no. 4, pp. 265-272, 2015.
[31]
J. Moreno, and R. Kelly, "Velocity control of robot manipulators: Analysis and experiments", Inter. J. Cont., vol. 76, no. 14, pp. 1420-1427, 2003.
[32]
J. Moreno-Valenzuela, "On passive velocity field control of robot arms", In: Proceedings 45th IEEE Conference on Decision and ControlDecember 13-15, 2006, pp. 2955-2960.
[33]
J.L. Meza, V. Santibáñez, R. Soto, and M.A. Llama, "Fuzzy self-tuning PID semiglobal regulator for robot manipulators", IEEE Trans. Ind. Electron., vol. 59, no. 6, pp. 2709-2717, 2012.
[34]
J. M.- Valenzuela, and C. A.- Avelar, Motion control of underactuated mechanical systemsSpringer, 2018.
[35]
S. Das, I. Pan, S. Das, and A. Gupta, "A novel fractional order fuzzy PID controller and its optimal time domain tuning based on integral performance indices", Eng. Appl. Artif. Intell., vol. 25, pp. 430-442, 2012.
[36]
I. Pan, and S. Das, "Fractional order fuzzy control of hybrid power system with renewable generation using chaotic PSO", ISA Trans., vol. 62, pp. 19-29, 2016.
[37]
D.J. Lee, and L. Wang, "Small-signal stability analysis of an autonomous hybrid renewable energy power generation/energy storage system part I: Time-domain simulations", IEEE Trans. Energ. Convers., vol. 23, no. 1, pp. 311-320, 2008.
[38]
A.H. Chowdhury, and Md. A.-Zaman, "Load frequency control of multi-microgrid using energy storage system", Proceedings of 8th IEEE Inter. Conf. Electric. Comput. Eng. (ICECE), 2014, pp. 548-551, .
[39]
P.K. Ray, S.R. Mohanty, and N. Kishor, "Small-signal analysis of autonomous hybrid distributed generation systems in presence of ultracapacitor and tie-line operation", J. Electric. Eng., vol. 61, no. 4, pp. 205-214, 2010.
[40]
M. Tavakoli, J. Adabi, and S. Zabihi, "Improving load frequency control through PV contribution in a hybrid generation grid", In: IEEE Smart Grid Conference (SGC), 2015, pp. 7-13.
[41]
P.K. Ray, S.R. Mohanty, and N. Kishor, "Proportional-integral controller based small-signal analysis of hybrid distributed generation systems", Energy Convers. Manage., vol. 52, no. 4, pp. 1943-1954, 2011.
[42]
S.K. Pandey, N. Kishor, and S.R. Mohanty, "Frequency regulation in hybrid power system using iterative proportional-integral-derivative H∞ controller", Electr. Power Compon. Syst., vol. 42, no. 2, pp. 132-148, 2014.
[43]
D.K. Lal, A.K. Barisal, and S.K. Nayak, "Load frequency control of wind diesel hybrid power system using DE algorithm", Proceedings of 10th IEEE Inter. Conf. Intell. Syst. Cont. (ISCO). 2016 , pp. 1-6, .
[44]
D.K. Lal, and A.K. Barisal, "Load frequency control of AC microgrid interconnected thermal power system", IOP Conf. Series: Mat. Sci. Eng, vol. 225, p. 012090, 2017.
[45]
S. Saremi, S. Mirjalili, and A. Lewis, "Grasshopper optimisation algorithm: Theory and application", Adv. Eng. Softw., vol. 105, pp. 30-47, 2017.