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Recent Advances in Electrical & Electronic Engineering

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ISSN (Print): 2352-0965
ISSN (Online): 2352-0973

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Research Article

Ant Colony Optimization of Fractional-Order PID Controller based on Virtual Inertia Control for an Isolated Microgrid

Author(s): Ahmed H. Mohamed*, Mohiy Bahgat, A.M. Abdel-Ghany and Helmy M. El-Zoghby

Volume 16, Issue 3, 2023

Published on: 27 October, 2022

Page: [320 - 332] Pages: 13

DOI: 10.2174/2352096516666221014160557

Price: $65

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Abstract

Background: Increasing the penetration of renewable energy sources has become necessary, especially in isolated microgrids. This increase leads to a decrease in the total inertia of the microgrids, which affects microgrid stability. Moreover, voltage and frequency control in lowinertia microgrids is more difficult and sensitive.

Objective: Improve low inertia isolated microgrids' dynamic response and save the microgrid stability at different contingency and uncertainty conditions. Moreover, it allows for more penetration of renewable energy sources.

Methods: Proposing different control strategies based on virtual inertia control. The first is a proportional- integral-derivative (PID) controller, and then, to allow for more tuning flexibility, a fractional- order proportional-integral-derivative (FOPID) controller is used. MATLAB TM/Simulink is used to compare the response of the isolated microgrid without virtual inertia control, with conventional virtual inertia control, PID-based virtual inertia control, and FOPID-based virtual inertia control. The PID and FOPID controllers’ parameters are tuned using the ant colony optimization (ACO) technique.

Results: The proposed control techniques save the isolated microgrids' stability at different penetration levels of renewable energy sources and operating conditions. At the same time, the isolated microgrid without virtual inertia control or conventional virtual inertia control can not save its stability in many operating conditions.

Conclusion: The proposed fractional-order proportional-integral-derivative (FOPID)-based virtual inertia control has proven its effectiveness in saving the isolated microgrid stability and gives the best controller response. FOPID-based virtual inertia control minimizes the frequency deviation with different disturbances and operating conditions.

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[1]
T. Kerdphol, F.S. Rahman, Y. Mitani, M. Watanabe, and S. Küfeogˇlu, "Robust virtual inertia control of an islanded microgrid considering high penetration of renewable energy", IEEE Access J.. vol. 6, pp. 625-636, 2017.
[2]
T. Kerdphol, F.S. Rahman, M. Watanabe, and Y. Mitani, "Robust virtual inertia control of a low inertia microgrid considering frequency measurement effects", IEEE Access, vol. 7, pp. 57550-57560, 2019.
[http://dx.doi.org/10.1109/ACCESS.2019.2913042]
[3]
M.M. Mohamed, H.M. El Zoghby, S.M. Sharaf, and M.A. Mosa, "Optimal virtual synchronous generator control of battery/supercapacitor hybrid energy storage system for frequency response enhancement of photovoltaic/diesel microgrid", J. Energy Storage.
vol. 51, no. 104317, pp. 104317, 2022. [http://dx.doi.org/10.1016/j.est.2022.104317]
[4]
A. Mohamed, M. Bahgat, and A.M. Abdel-Ghany, "Isolated microgrid frequency control using decentralized H∞ loop shaping, 2020 12th International Conference on Electrical Engineering (ICEENG), Jul 07-09, 2020, Cairo, Egypt,",
pp. 84-88 [http://dx.doi.org/10.1109/ICEENG45378.2020.9171737]
[5]
T. Kerdphol, M. Watanabe, and K. Hongesombut, "Self-adaptive virtual inertia control-based fuzzy logic to improve frequency stability of microgrid with high renewable penetration", IEEE Access J., vol. 7, pp. 76071-76083, 2019.
[6]
H.M. El Zoghby, and H.S. Ramadan, "Isolated microgrid stability reinforcement using optimally controlled STATCOM", Sustain. Energy Technol. Assess. J.. vol. 50, pp. 101883, 2022.
[7]
G. Magdy, G. Shabib, A.A. Elbaset, and Y. Mitani, "A novel coordination scheme of virtual inertia control and digital protection for microgrid dynamic security considering high renewable energy penetration", IET Renew. Power Gener., vol. 13, no. 3, pp. 462-474, 2019.
[http://dx.doi.org/10.1049/iet-rpg.2018.5513]
[8]
H. Bevrani, T. Ise, and Y. Miura, "Virtual synchronous generators: A survey and new perspectives", Int. J. Electr. Power Energy Syst., vol. 54, pp. 244-254, 2014.
[http://dx.doi.org/10.1016/j.ijepes.2013.07.009]
[9]
T. Kerdphol, F. Rahman, and Y. Mitani, "Virtual inertia control application to enhance frequency stability of interconnected power systems with high renewable energy penetration", Energies, vol. 11, no. 4, pp. 981-997, 2018.
[http://dx.doi.org/10.3390/en11040981]
[10]
W. Xing, H. Wang, L. Lu, X. Han, K. Sun, and M. Ouyang, "An adaptive virtual inertia control strategy for distributed battery energy stor-age system in microgrids", Energy J.. vol. 233, pp. 121155, 2021.
[11]
K. Singh, Enhancement of frequency regulation in tidal turbine power plant using virtual inertia from capacitive energy storage system J. Energy Storage. vol. 35, 2021.
[12]
T. Kerdphol, M. Watanabe, Y. Mitani, and V. Phunpeng, "Applying virtual inertia control topology to SMES system for frequency stability improvement of low-inertia microgrids driven by high renewables", Energies J., vol. 12, p. 20, 2019.
[13]
R. Liu, S. Wang, G. Liu, S. Wen, J. Zhang, and Y. Ma, An improved virtual inertia control strategy for low voltage ac microgrids with hybrid energy storage systems Energies J.. vol. .15, pp. 2, 2022.
[14]
A. Fathi, Q. Shafiee, and H. Bevrani, "Robust frequency control of microgrids using an extended virtual synchronous generator", IEEE Transac. Power Sys. J., vol. 33, no. 6, pp. 6289-6297, 2018.
[http://dx.doi.org/10.1109/TPWRS.2018.2850880]
[15]
S. D’Arco, J.A. Suul, and O.B. Fosso, "A virtual synchronous machine implementation for distributed control of power converters in smartgrids", Electric Power Sys. Res. J., vol. 122, pp. 180-197, 2015.
[http://dx.doi.org/10.1016/j.epsr.2015.01.001]
[16]
L. Zhang, X. Wang, Z. Zhang, Y. Cui, L. Ling, and G. Cai, "An adaptative control strategy for interfacing converter of hybrid microgrid based on improved virtual synchronous generator", IET Renew. Power Gener. J., vol. 16, no. 2, pp. 261-273, 2022.
[http://dx.doi.org/10.1049/rpg2.12293]
[17]
D. Li, Q. Zhu, S. Lin, and X.Y. Bian, "A self-adaptive inertia and damping combination control of vsg to support frequency stability", IEEE Transac. Energy Convers. J., vol. 32, no. 1, pp. 397-398, 2016.
[18]
K.Y. Yap, J.M. Lim, and C.R. Sarimuthu, "A novel adaptive virtual inertia control strategy under varying irradiance and temperature in grid-connected solar power system", Int. J. Electr. Power Energy Syst..
vol. 132, pp. 107180, 2021. [http://dx.doi.org/10.1016/j.ijepes.2021.107180]
[19]
S.M. Said, M. Aly, B. Hartmann, and E.A. Mohamed, "Coordinated fuzzy logic-based virtual inertia controller and frequency relay scheme for reliable operation of low-inertia power system", IET Renew. Power Gener., vol. 15, no. 6, pp. 1286-1300, 2021.
[http://dx.doi.org/10.1049/rpg2.12106]
[20]
A. Ulbig, M.D. Galus, S. Chatzivasileiadis, and G. Andersson, "General frequency control with aggregated control reserve capacity from time-varying sources: the case Of Phevs 2010 IREP Symposium - Bulk Power System Dynamics and Control - VIII, IREP2010, Aug 01-06, 2010, Rio de Janeiro, Brazil,",
pp. 1-14, 2010. [http://dx.doi.org/10.1109/IREP.2010.5563261]
[21]
P. Kundur, Power System Stability and Control., McGraw-Hill: New York, NY, USA, 1994.
[22]
G. Magdy, G. Shabib, A.A. Elbaset, and Y. Mitani, "Renewable power systems dynamic security using a new coordination of frequency control strategy based on virtual synchronous generator and digital frequency protection", Int. J. Electr. Power Energy Syst., vol. 109, pp. 351-368, 2019.
[http://dx.doi.org/10.1016/j.ijepes.2019.02.007]
[23]
D.C. Meena, and A. Devanshu, "Genetic algorithm tuned PID controller for process control, 2017 International Conference on Inventive Systems and Control (ICISC), Jan 09-20, 2017, Coimbatore, India",
pp. 1-6 [http://dx.doi.org/10.1109/ICISC.2017.8068639]
[24]
H.M. Asifaans, and S.R. Vaishnav, "Particle swarm optimisation algorithm based PID controller, 2010 3rd International Conference on Emerging Trends in Engineering and Technology, Nov 19-21, 2010, Goa, India ,", pp. 628-631, 2010.
[25]
A.M. Othman, and A.A. El-Fergany, "Adaptive virtual-inertia control and chicken swarm optimizer for frequency stability in power-grids penetrated by renewable energy sources", Neural Comput. Appl., vol. 33, no. 7, pp. 2905-2918, 2021.
[http://dx.doi.org/10.1007/s00521-020-05054-8]
[26]
M. Omar, M. Soliman, A.M. Abdel Ghany, and F. Bendary, "Ant colony optimization based pid for single area load frequency control", 2013 5th International Conference on Modelling, Identification and Control (ICMIC), Aug 31- Sept 02, 2013, Cairo, Egypt,", pp. 119-123, 2013.
[27]
I. Chiha, N. Liouane, and P. Borne, "Tuning PID controller using multiobjective ant colony optimization", Appl. Comput. Intell", Soft Comput. J.. vol. 2012, pp. 1-7, 2012.
[28]
M.A. Abdel Ghany, M.E. Bahgat, W.M. Refaey, and F.N. Hassan, "“Ant colony optimum tuning of pid load frequency controller for the Egyptian power system”, J. Al-Azhar Uni. Engin", Sec., vol. 12, no. 42, pp. 77-89, 2014.
[29]
A. Ahmad, S.A. Kashif, A. Nasir, A. Rasool, S. Liaquat, and S. Padmanaban, "Controller parameters optimization for multi-terminal dc power system using ant colony optimization", IEEE Access J., vol. 9, pp. 59910-59919, 2021.
[30]
M. Dorigo, and S. Thomas, "Ant colony optimization", In: A. Bradford book. The MIT Press,", pp. 1- 321.
[31]
Y.K. Bhateshvar, H.D. Mathur, H. Siguerdidjane, and R.C. Bansal, "Ant colony optimized fuzzy control solution for frequency oscillation suppression", Electr. Power Compon. Syst. J., vol. 45, no. 14, pp. 1573-1584, 2017.
[http://dx.doi.org/10.1080/15325008.2017.1362073]
[32]
I. Podlubny, Fractional-order systems and fractional-order controllers., Latex, 1994.
[33]
M. Dulău, "A. Gligor and T. Dulău, "Fractional order controllers versus integer order controllers", Procedia Eng. J.. vol. 181, pp. 538-545, 2017.
[34]
C. Muñiz-Montero, L. V. García-Jiménez, L. A. Sánchez-Gaspariano, C. Sánchez-López, V. R. González-Díaz, and E. Tlelo-Cuautle, "New alternatives for analog implementation of fractionalorder integrators, Differentiators and PID Controllers Based on Integer-Order Integrators", Nonlinear Dyn. J., vol. 90, no. 1, pp. 241-256, 2017.
[http://dx.doi.org/10.1007/s11071-017-3658-z]
[35]
"Reliability Panel 2017, Review of the frequency operating standard, Stage one determination 2016, Sydney",

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