Open Access Open Access  Restricted Access Subscription or Fee Access

Decentralized Control Based on Hybrid Water Cycle and Moth-Flame Optimization of Fractional-Order Fuzzy PID in a Multiple DGs Faulty Autonomous Microgrid


(*) Corresponding author


Authors' affiliations


DOI: https://doi.org/10.15866/irecon.v9i5.20291

Abstract


This study presents the employment of a novel hybrid Metaheuristics optimization technique to improve and stabilize voltage secondary layer of control being applied in Fractional-Order Fuzzy Proportional-Integral-Derivative controllers in the case of a faulted autonomous 3-phase AC Microgrid. For the frequency control part, a Proportional-Integral-Derivative controller is used. The autonomous Microgrid under study comprises multiple distributed generation units connected with impedance lines along with local loads. The Fractional-Order Fuzzy Proportional-Integral-Derivative controller is considered to have superior performance than conventional ones, despite the increase in the number of tunable parameters. Therefore, a hybrid Water Cycle and Moth-Flame optimization algorithm is considered to reach the optimum solution for the applied decentralized controllers. The performance of the controller is compared through varying optimization techniques and changing the controller type. Under the discussed control approach, the AC Islanded Microgrid operation steadiness is augmented.
Copyright © 2021 Praise Worthy Prize - All rights reserved.

Keywords


Faulted 3-Phase AC Microgrids; Fractional-Order Fuzzy PID Controller; Islanded Microgrids; Metaheuristics Optimization

Full Text:

PDF


References


J.W. Simpson-Porco, F. Dörfler, F. Bullo, Voltage stabilization in microgrids via quadratic droop control, IEEE Transactions on Automatic Control, vol. 62 n. 3, 2017, pp. 1239-1253.
https://doi.org/10.1109/TAC.2016.2585094

S.K. Sarkar, F.R. Badal, S.K. Das, A comparative study of high performance robust pid controller for grid voltage control of islanded microgrid, International Journal of Dynamics and Control, vol. 6 n. 3, 2018, pp. 1207-1217.
https://doi.org/10.1007/s40435-017-0364-0

H. Han, Y. Liu, Y. Sun, M. Su, J.M. Guerrero, An improved droop control strategy for reactive power sharing in islanded microgrid, IEEE Transactions on Power Electronics, vol. 30 n. 6, 2014, pp. 3133-3141.
https://doi.org/10.1109/TPEL.2014.2332181

X. Lu, J.M. Guerrero, K. Sun, J.C. Vasquez, R. Teodorescu, L. Huang, Hierarchical Control of Parallel AC-DC Converter Interfaces for Hybrid Microgrids, IEEE Transactions on Smart Grid, vol. 2 n. 5, 2014, pp. 683-692.
https://doi.org/10.1109/TSG.2013.2272327

A.H. Rafa, Centralized Controller for Microgrid, International Journal of Electrical and Computer Engineering, vol. 7 n. 9, 2013, pp. 1237-1247.

M.S. Mahmoud,S.A. Hussain, M.A. Abido, Modeling and control of microgrid: An overview, Journal of the Franklin Institute, vol. 351 n. 5, 2014. pp. 2822-2859.
https://doi.org/10.1016/j.jfranklin.2014.01.016

T.L. Vandoorn, B. Renders, L. Degroote, B. Meersman, L. Vandevelde, Voltage control in islanded microgrids by means of a linear-quadratic regulator, Proc. IEEE Benelux Young Researchers Symposium in Electrical Power Engineering (YRS10), 2010.

J. Berner, K. Soltesz, T. Hägglund, K.J. Åström, An experimental comparison of PID autotuners, Control Engineering Practice, vol. 73, 2018, pp. 124-133.
https://doi.org/10.1016/j.conengprac.2018.01.006

P.M. Meshram, R.G. Kanojiya, Tuning of PID controller using Ziegler-Nichols method for speed control of DC motor, IEEE-international conference on advances in engineering, science and management (ICAESM-2012), 2012.

S. Sheel, O. Gupta, New techniques of PID controller tuning of a DC motor-development of a toolbox, MIT International Journal of Electrical and Instrumentation Engineering, vol. 2 n. 2, 2012, pp. 65-69.

E. Cuevas, A. Luque, D. Zaldívar, M. Pérez-Cisneros, Evolutionary calibration of fractional fuzzy controllers, Applied Intelligence, vol. 47 n. 2, 2017, pp. 291-303.‏
https://doi.org/10.1007/s10489-017-0899-y

I.S. Jesus, R.S. Barbosa, Genetic optimization of fuzzy fractional PD+ I controllers, Isa Transactions, vol. 57, 2015, pp. 220-230.‏
https://doi.org/10.1016/j.isatra.2015.01.006

R.S. Barbosa, I.S. Jesus, A Methodology for the Design of Fuzzy Fractional PID Controllers, Proceedings of the 10th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2013), 2013.

M. Nasir, A. Sadollah, Y.H. Choi, J. H. Kim, A comprehensive review on water cycle algorithm and its applications, Neural Computing and Applications, 2020, pp. 1-56.‏

J. Radosavljevic', Metaheuristic optimization in power engineering (The Institution of Engineering and Technology Press, 2018).
https://doi.org/10.1049/PBPO131E

F. Fausto, A. Reyna-Orta, E. Cuevas, Á.G. Andrade, M. Perez-Cisneros, From ants to whales: metaheuristics for all tastes, Artificial Intelligence Review, vol. 53 n. 1, 2020, pp. 753-810.‏
https://doi.org/10.1007/s10462-018-09676-2

A. Slowik, H. Kwasnicka, Evolutionary algorithms and their applications to engineering problems, Neural Computing and Applications, 2020, pp. 1-17.‏

M.D. Li, H. Zhao, X.W. Weng, T. Han, A novel nature-inspired algorithm for optimization: Virus colony search, Advances in Engineering Software 92 (2016) 65-88.‏
https://doi.org/10.1016/j.advengsoft.2015.11.004

A. Slowik, H. Kwasnicka, Nature inspired methods and their industry applications-swarm intelligence algorithms, IEEE Transactions on Industrial Informatics, vol. 14 n. 3, 2018, pp.1004-1015.‏
https://doi.org/10.1109/TII.2017.2786782

‏H. Eskandar, A. Sadollah, A. Bahreininejad, M. Hamdi, Water cycle algorithm-A novel metaheuristic optimization method for solving constrained engineering optimization problems, Computers & Structures, vol. 110, 2012, pp. 151-166.‏
https://doi.org/10.1016/j.compstruc.2012.07.010

M. Jain, V. Singh, A. Rani, A novel nature-inspired algorithm for optimization: Squirrel search algorithm, Swarm and evolutionary computation, vol. 44, 2019, pp. 148-175.‏
https://doi.org/10.1016/j.swevo.2018.02.013

A.A. Heidari, S. Mirjalili, H. Faris, I. Aljarah, M. Mafarja, H. Chen, Harris hawks optimization: Algorithm and applications, Future Generation Computer Systems, vol. 97, 2019, pp. 849-872.‏
https://doi.org/10.1016/j.future.2019.02.028

S. Shadravan, H.R. Naji, V.K. Bardsiri, The Sailfish Optimizer: A novel nature-inspired metaheuristic algorithm for solving constrained engineering optimization problems, Engineering Applications of Artificial Intelligence, vol. 80, 2019, pp. 20-34.‏
https://doi.org/10.1016/j.engappai.2019.01.001

A. Hatamlou, Black hole: A new heuristic optimization approach for data clustering, Information sciences, vol. 222, 2013, pp. 175-184.‏
https://doi.org/10.1016/j.ins.2012.08.023

A.H. Kashan, League Championship Algorithm (LCA): An algorithm for global optimization inspired by sport championships, Applied Soft Computing, vol. 16, 2014, pp. 171-200.‏
https://doi.org/10.1016/j.asoc.2013.12.005

D. Chen, F. Zou, R. Lu, P. Wang, Learning backtracking search optimisation algorithm and its application, Information Sciences, vol. 376, 2017, pp. 71-94.‏
https://doi.org/10.1016/j.ins.2016.10.002

S.J. Mousavirad, H. Ebrahimpour-Komleh, Human mental search: a new population-based metaheuristic optimization algorithm, Applied Intelligence, vol. 47 n. 3, 2017, pp. 850-887.‏
https://doi.org/10.1007/s10489-017-0903-6

A. Barzegar, A. Sadollah, L. Rajabpour, R. Su, Optimal power flow solution using water cycle algorithm, 2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV), 2016.
https://doi.org/10.1109/ICARCV.2016.7838690

M.A. El-Hameed, A.A. El-Fergany, Water cycle algorithm-based load frequency controller for interconnected power systems comprising non-linearity, IET Generation, Transmission & Distribution, vol. 10 n. 15, 2016, pp. 3950-3961.‏
https://doi.org/10.1049/iet-gtd.2016.0699

A. Latif, D.C. Das, S. Ranjan, A.K. Barik, Comparative performance evaluation of WCA-optimised non-integer controller employed with WPG-DSPG-PHEV based isolated two-area interconnected microgrid system, IET Renewable Power Generation, vol. 13 n. 5, 2019, pp. 725-736.‏
https://doi.org/10.1049/iet-rpg.2018.5419

H.M. Hasanien, M. Matar, Water cycle algorithm-based optimal control strategy for efficient operation of an autonomous microgrid, IET Generation, Transmission & Distribution, vol. 12 n. 21, 2018, pp. 5739-5746.‏
https://doi.org/10.1049/iet-gtd.2018.5715

H.M. Hasanien, Transient stability augmentation of a wave energy conversion system using a water cycle algorithm-based multiobjective optimal control strategy, IEEE Transactions on Industrial Informatics, vol. 15 n. 6, 2019, pp. 3411-3419.‏
https://doi.org/10.1109/TII.2018.2871098

A. Hadjaissa, K. Ameur, M. Boutoubat, A WCA-based optimization of a fuzzy sliding-mode controller for stand-alone hybrid renewable power system, Soft Computing, vol. 23 n. 17, 2019, pp. 7831-7842.‏
https://doi.org/10.1007/s00500-018-3415-3

M.M.H. Adam, N.M. Hannoon, S. Dhar, New Modified Water Cycle Optimized Fuzzy PI Controller for Improved Stability of Photovoltaic-Based Distributed Generation Towards Microgrid Integration, Innovation in Electrical Power Engineering, Communication, and Computing Technology, 2020.‏
https://doi.org/10.1007/978-981-15-2305-2_50

S. Khalilpourazari, S. Khalilpourazary, An efficient hybrid algorithm based on Water Cycle and Moth-Flame Optimization algorithms for solving numerical and constrained engineering optimization problems, Soft Computing, vol. 23 n. 5, 2019, pp. 1699-1722.‏
https://doi.org/10.1007/s00500-017-2894-y

M. Jayachandran, G. Ravi, Decentralized model predictive hierarchical control strategy for islanded AC microgrids, Electric Power Systems Research, vol. 170, 2019, pp. 92-100.‏
https://doi.org/10.1016/j.epsr.2019.01.010

F. Guo, C. Wen, Y.D. Song, Distributed control and optimization technologies in smart grid systems (CRC Press, 2018).‏
https://doi.org/10.1201/9781315109732

D.N. Gaonkar, J.M. Guerrero, Improved Pf/QV and PV/Qf droop controllers for parallel distributed generation inverters in AC microgrid, Sustainable cities and society, vol. 41, 2018, pp. 421-442.‏
https://doi.org/10.1016/j.scs.2018.04.026

X. Tian, Y. Huang, C. Zhang, The tuning principle of adaptive fuzzy fractional-order PID controller parameters, Procedia Engineering, vol. 7, 2010, pp.251-255.
https://doi.org/10.1016/j.proeng.2010.11.040

R.S. Barbosa, I.S. Jesus, M.F. Silva, Fuzzy reasoning in fractional-order PD controllers, New Aspects of Applied Informatics, Biomedical Electronics & Informatics and Communications, 2010, pp. 252-257.

Das, I. Pan, S. Das, A. Gupta, A novel fractional order fuzzy PID controller and its optimal time domain tuning based on integral performance indices, Engineering Applications of Artificial Intelligence, vol. 25 n. 2, 2012, pp. 430-442.‏
https://doi.org/10.1016/j.engappai.2011.10.004

Chen, B.M. Vinagre, I. Podlubny, Continued fraction expansion approaches to discretizing fractional order derivatives-an expository review, Nonlinear Dynamics, vol. 38 n. 1, 2004, pp. 155-170.
https://doi.org/10.1007/s11071-004-3752-x

Pan, S. Das, Enhancement of fuzzy PID controller with fractional calculus, In. Intelligent Fractional Order Systems and Control, (Berlin: Springer-Heidelberg, 2013, 159-193).‏
https://doi.org/10.1007/978-3-642-31549-7_7

I. Pan, S. Das, Fractional order fuzzy control of hybrid power system with renewable generation using chaotic PSO, ISA transactions, vol. 62, 2016, pp. 19-29.‏
https://doi.org/10.1016/j.isatra.2015.03.003

O. Bozorg-Haddad, M. Solgi, H.A. Loï, Meta-heuristic and evolutionary algorithms for engineering optimization (John Wiley & Sons, 2017).‏
https://doi.org/10.1002/9781119387053

A.A. El-Farghany, H.M. Hasanien, Water cycle algorithm for optimal overcurrent relays coordination in electric power systems, Soft Computing, vol. 23 n. 23, December 2019, pp. 12761-12778.
https://doi.org/10.1007/s00500-019-03826-6

Omar, A., Hasanien, H., Al-Durra, A., El-Hameed, W., Water Cycle Algorithm for Parameters Estimation of Solar Photovoltaic Model, (2019) International Journal on Energy Conversion (IRECON), 7 (3), pp. 117-125.
https://doi.org/10.15866/irecon.v7i3.16187


Refbacks

  • There are currently no refbacks.


Please send any question about this web site to info@praiseworthyprize.com
Copyright © 2005-2024 Praise Worthy Prize