Design and Simulation of Novel Control Strategy of STATCOM Tuned by Combined Hybrid GA-PSO Algorithm

Khadija-Ikram Mahider, Reda Rabeh, Mohammed Ferfra

Abstract


Voltage stability is a critical and important issue in power grid operation. STATCOM as an adaptive FACTS controller, provides limited range linear control for non-linear processes. The major objective of study presented in this paper is to prove and highlight the accuracy of the novel proposed control strategy of STATCOM optimized based on combining classical evolutionary algorithms. The approach adopted the STATCOM is a composition of existing controllers PI and Fractional PI. The novel control strategy aims to propose controllers in different loops tuned by evolutionary algorithms. Theses selected methods are particle swarm optimization (PSO), genetic algorithms (GA) and hybrid combination of PSO and GA, were adopted to tune the studied STATCOM control parameters in different strategies. Simulation results of this article are obtained using Simulink environment. These reached results demonstrate the accuracy of the optimized two PI-PIFOPI STATCOM (PI controller in the outer loops of DC and AC voltage loops and cascaded PI and FOPI in the internal current loop) in stabilizing the grid voltage. This optimization was adopted by minimizing the objective selected in this study function ISE (Integral of the Squared Error) of grid voltage. The robustness and the accuracy of the proposed STATCOM is proved by random variation of the studied system parameters.


Keywords


FACTS; STATCOM; Voltage Stability; GA; PSO; GA-PSO; PI controller; FOPI controller; PIFOPI; ISE.

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References


K. K. Sharma, “Voltage regulation using FACT devices: a review”, International Journal of Pure and Applied Mathematics, Vol. 119, No. 16, pp. 2207-2214, 2018.

M. Mahdavian and F. H. Fesharaki, “The effect of shunt FACTS devices on voltage regulation in transmission lines”, Signal Processing and Renewable Energy, pp. 85-94, June 2022.

M. Peikherfeh, M. Abapour, M. P. Moghaddam, and A. Namdari, “Optimal allocation of FACTS devices for provision of voltage control ancillary services”, 2010 7th International Conference on the European Energy Market, pp. 1-5, June 2010.

M Mahdavian, M Janghorbani, E Ganji, I Eshaghpour, H Hashemi-Dezaki, “Voltage regulation in transmission line by shunt flexible AC transmission system devices”, 2017 14th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), pp. 107-110, June 2017.

P. Kumar, “Application of FACT devices for voltage stability in a power system”, 2015 IEEE 9th International Conference on Intelligent Systems and Control (ISCO), pp. 1-5, 2015.

A. Saha, S. Ahmad, A. A. Soma, M. Z. A. Chowdhury, and A. A. Hossain, “Modelling and control of STATCOM to ensure stable power system operation”, 2017 4th International Conference on Advances in Electrical Engineering (ICAEE), pp. 12-17, September 2017.

R. H. Manoj, S. G. Kavita, and V. Jogi, “Voltage regulation of STATCOM using flexible PI control”, 2017 2nd International Conference on Communication and Electronics Systems (ICCES), pp. 128-133, 2017.

S. Choudhury, S. Sahoo, and S. K. Routray, “Voltage flicker compensation of STATCOM through novel bee colony optimization”, 2020 International Conference on Smart Electronics and Communication (ICOSEC), pp. 1019-1024, November 2020.

D. Kumar, V. Gupta, and R. C. Jha, “Implementation of FACTS devices for improvement of voltage stability using evolutionary algorithm”, 2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES), pp. 1-6, 2016.

S. Vadi, F. B. Gurbuz, S. Sagiroglu, and R. Bayindir, “Optimization of PI based buck-boost converter by particle swarm optimization algorithm”, 2021 9th International Conference on Smart Grid (icSmartGrid), Setúbal, Portugal, pp. 295-301, 2021.

I. N. Muisyo, C. M. Muriithi, and S. I. Kamau, “Enhancing low voltage ride through capability of grid connected DFIG based WECS using WCA-PSO tuned STATCOM controller”, Heliyon, Vol. 8, No. 8, p. e09999, 2022, DOI: 10.1016/j.heliyon.2022.e09999.

K. I. Mahider, M. Ferfra, and R. Rabeh, “Optimization of STATCOM PI controller parameters using the hybrid GA-PSO algorithm”, 2023 IEEE 11th International Conference on Systems and Control (ICSC), Sousse, Tunisia, pp. 270-275, 2023.

W Rohouma, RS Balog, MM Begovic, AA Peerzada, “Capacitor-less D-STATCOM for voltage profile improvement in a SmartGrid distribution network with high PV penetration”, 2022 10th International Conference on Smart Grid (icSmartGrid), Istanbul, Turkey, pp. 155-159, 2022.

M. I. Mosaad, H. Ramadan, M. Aljohani, and M. El-Naggar, “Near-optimal PI controllers of STATCOM for efficient hybrid renewable power system”, IEEE Access, Vol. 9, pp. 34119-34131, 2021, DOI: 10.1109/ACCESS.2021.3058081.

A Mohanty, M Viswavandya, PK Ray, S Mohanty, “Reactive power control and optimisation of hybrid offshore tidal turbine with system uncertainties”, Journal of Ocean Engineering and Science, Vol. 1, No. 4, pp. 256-267, 2016, DOI: 10.1016/j.joes.2016.06.005.

A. Idir, M. Kidouche, Y. Bensafia, K. Khettab, S. A. Tadjer, “Speed control of DC motor using PID and FOPID controllers based on differential evolution and PSO”, International Journal of Intelligent Engineering and Systems, Vol. 11, No. 4, 2018, DOI: 10.22266/ijies2018.0831.24.

S. Katoch, S. S. Chauhan, and V. Kumar, “A review on genetic algorithm: past, present, and future”, Multimedia Tools and Applications, Vol. 80, pp. 8091-8126, 2021, DOI: 10.1007/s11042-020-10139-6.

T. Bahi and A. Lakhdara, “Analysis of genetic and cuckoo search algorithms for MPPT in partial shaded”, International Journal of Smart Grid-ijSmartGrid, Vol. 8, No. 1, pp. 35-40, 2024, DOI: 10.20508/ijsmartgrid.v8i1.329.g330.

T.Y. Wu, Y.Z. Jiang, Y.Z. Su, W.C. Yeh, “Using simplified swarm optimization on multiloop fuzzy PID controller tuning design for flow and temperature control system”, Applied Sciences, Vol. 10, No. 23, pp. 1-23, 2020, DOI: 10.3390/app10238472.

M. A. Hossain, H. R. Pota, S. Aquartini, and A. F. Abdou, “Modified PSO algorithm for real-time energy management in grid-connected microgrids”, Renewable Energy, Vol. 136, pp. 746-757, 2019, DOI: 10.1016/j.renene.2019.01.005.

C. Aoughlis, A. Belkaid, I Colak, O. Guenounou, and M A. Kacimi, “Automatic and self adaptive P&O MPPT based PID controller and PSO algorithm”, 2021 10th International Conference on Renewable Energy Research and Application (ICRERA), Istanbul, Turkey, pp. 385-390, 2021.

R Raghutu, M Sankaraiah, R.S.S. Nuvvula, M. Venkatesh, “Dispatchable and non-dispatchable distributed generation reactive power coordination with reactive power-controlled devices using grey wolf optimizer”, 2022 11th International Conference on Renewable Energy Research and Application (ICRERA), Istanbul, Turkey, pp. 33-41, 2022.

H. Garg, “A hybrid PSO-GA algorithm for constrained optimization problems”, Applied Mathematics and Computation, Vol. 274, pp. 292-305, 2016, DOI: 10.1016/j.amc.2015.11.001.




DOI (PDF): https://doi.org/10.20508/ijrer.v16i2.15306.g9226

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