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Adaptive PI Control Strategy for Microgrid Performance Enhancement


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DOI: https://doi.org/10.15866/irecon.v7i3.17327

Abstract


Microgrids attain a significant role in electrical power systems due to their practical and economic benefits. A novel application of an adaptive Proportional plus Integral (PI) controller with the purpose of improving the microgrid performance is presented in this paper. The control strategy of the adaptive PI controller is based on Widrow-Hoff adaptation technique. The efficiency of the suggested controller is proved by comparing its outcomes with that obtained by utilizing Flower Pollination algorithm (FPA) which is used to fine tune the PI controller parameters of the inverter based microgrid. The utilized multi-objective optimization problem used by the FPA is created by the Response Surface Methodology (RSM). Simulation results are carried out using PSCAD/EMTDC environment to check the validity of the proposed control strategy. The simulation results are tested under various operating states such as 1) conversion of the system from grid connected to stand alone mode of operation, 2) subjecting the system to three line to ground fault in the autonomous mode, and 3) exposing the system to the load variability in the islanded mode.
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Keywords


Adaptive PI Controllers; Flower Pollination Algorithm (FPA); Microgrid; Optimization Methods; Power System Control; Power System; Response Surface Methodology (RSM); Widrow Hoff Adaptation Technique

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References


Amin Khodaei, Provisional Microgrids, IEEE Transactions On Smart Grid, paper no. TSG-00290-2014.

Amir H. Etemadi, Edward J. Davison, and Reza Iravani, A Decentralized Robust Control Strategy for Multi-DER Microgrids—Part I: Fundamental Concepts, IEEE Transaction Power Delivery, vol. 27, no. 4, pp.1843-1853, Oct. 2012.
https://doi.org/10.1109/tpwrd.2012.2202920

Hongwei Ren, Congying Han, Tiande Guo, and Wei Pei, Energy Losses and Voltage Stability Study in Distribution Network with Decentralized energy generation, Journal of Applied Mathematics, vol.23, Aug. 2014.
https://doi.org/10.1155/2014/939482

M. Kayikci and J. V. Milanovic, Reactive power control strategies for DFIG-based plants, IEEE Trans. Energy Convers., vol. 22, no. 2, pp. 389–396, Jun. 2007.

S. M. Muyeen, M. Hasan Ali, R. Takahashi, T. Murata, J. Tamura, M. Kubo, A. Kuwayama, and T. Matsumoto, Low voltage ride through capability enhancement of wind turbine generator system during network disturbance, IET Renew. Power Generation, vol. 3, no. 1, pp. 65–73, 2009.
https://doi.org/10.1049/iet-rpg:20070116

J. Tamura, T. Yamazaki, R. Takahashi, S. Yonaga, H. Kubo, and Y. Matsumura, Analysis of transient stability of wind generators, Proc. Int. Conf. Electrical Machines (ICEM), no.148, 2002.

E. S. Abdin and W. Xu, Control design and dynamic performance analysis of a wind turbine induction generator unit, IEEE Trans. Energy Convers., vol. 15, no. 1, pp. 91–96, Mar. 2000.
https://doi.org/10.1109/60.849122

E. Muljadi, C. P. Butterfield, B. Parsons, and A. Ellis, Effect of variable speed wind turbine generator on stability of a weak grid, IEEE Trans. Energy Convers., vol. 22, no. 1, pp. 29–36, Mar. 2007.
https://doi.org/10.1109/tec.2006.889602

A. Yazdani and R. Iravani, A neutral-point clamped converter system for direct-drive variable speed wind power unit, IEEE Trans. Energy Convers., vol. 21, no. 2, pp. 596–607, June 2006.
https://doi.org/10.1109/tec.2005.860392

S. K. Kim and E. S. Kim, PSCAD/EMTDC based modeling and analysis of a gearless variable speed wind turbine, IEEE Trans. Energy Conversion, vol. 22, no. 2, pp. 421-430, Jun. 2007
https://doi.org/10.1109/tec.2005.858063

T. Sun, Z. Chen, and F. Blaabjerg, Transient stability of DFIG wind turbines at an external short circuit fault, Wind Energy, vol. 8, no. 3, pp. 345–360, 2005.
https://doi.org/10.1002/we.164

J. Hu, Y. He, L. Xu, and B. W. Williams, Improved control of DFIG systems during network unbalance using PI-R current regulators, IEEE Trans. Ind. Electron., vol. 56, no. 2, pp. 439–451, Feb. 2009.
https://doi.org/10.1109/tie.2008.2006952

Hany M. Hasanien, Ahmed S. Abd-Rabou, and Sohier M. Sakr, Design Optimization of Transverse Flux Linear Motor for Weight Reduction and Performance Improvement Using Response Surface Methodology and Genetic Algorithms, IEEE transactions of energy conversion, Vol. 25, n. 3, September 2010.
https://doi.org/10.1109/tec.2010.2050591

Hany M. Hasanien and Mahmoud Matar, A Fuzzy Logic Controller for Autonomous Operation of a Voltage Source Converter-Based Decentralized energy generation System, IEEE Transactions on Smart Grid, vol. 6, no. 1, Jan. 2015.
https://doi.org/10.1109/tsg.2014.2338398

P. Wang and D.P. Kwok, Optimal design of PID process controllers based on genetic algorithms, Elsevier Control Engineering Practice, vol. 2, Issue 4, pp. 641-648, Aug. 1994.
https://doi.org/10.1016/0967-0661(94)90008-6

H. A. Cabral and M. T. de Melo, Using genetic algorithms for device modeling, IEEE Trans. Magn., vol. 47, no. 5, pp. 1322–1325, May 2011.
https://doi.org/10.1109/tmag.2010.2099107

Lokman H. Hassan, M. Moghavvemi, Haider A. F. Almurib, K. M. Muttaqi, and Velappa G. Ganapathy, Optimization of power system stabilizers using participation factor and genetic algorithm, International Journal of Electrical Power & Energy Systems, vol. 55, pp. 668–679, Feb. 2014.
https://doi.org/10.1016/j.ijepes.2013.10.026

Mehmet Güçyetmez and Ertuğrul Çam, A new hybrid algorithm with genetic-teaching learning optimization (G-TLBO) technique for optimizing of power flow in wind-thermal power systems, Springer link, electrical engineering, vol. 98, Issue 2, pp. 145–157, June 2016.
https://doi.org/10.1007/s00202-015-0357-y

Xin-She Yang, Flower Pollination Algorithm for Global Optimization, Unconventional Computation and Natural Computation 2012, Lecture Notes in Computer Science, Vol. 7445, pp. 240-249 (2012).
https://doi.org/10.1007/978-3-642-32894-7_27

Mir Nahidul Ambia, Hany M. Hasanien, Ahmed Al-Durra and S. M. Muyeen, Harmony Search Algorithm-Based Controller Parameters Optimization for a Distributed-Generation System, IEEE Transactions on Power Delivery, vol. 30, Issue 1, pp. 246-255, Feb. 2015.
https://doi.org/10.1109/tpwrd.2014.2358940

T.Gunasekar, R.Anita, Design of UPQC by Optimizing PI Controller using GA and PSO for Improvement of Power Quality, International Journal of Engineering and Technical Research (IJETR), ISSN (2321-0869), vol.2, Issue-4, April 2014.

Hany M. Hasanien, Design Optimization of PID Controller in Automatic Voltage Regulator System Using Taguchi Combined Genetic Algorithm Method, IEEE Systems Journal, vol.7, Issue 4, pp. 825–831, Dec. 2013.
https://doi.org/10.1109/jsyst.2012.2219912

Hany M. Hasanien and S. M. Muyeen, A Taguchi Approach for Optimum Design of Proportional-Integral Controllers in Cascaded Control Scheme, IEEE Transactions on Power Systems, vol. 28, Issue 2, pp. 1636–1644, May 2013.
https://doi.org/10.1109/tpwrs.2012.2224385

Hany M. Hasanien, Shuffled frog leaping algorithm-based static synchronous compensator for transient stability improvement of a grid-connected wind farm, IET Renewable Power Generation, vol. 8, Issue 6, pp. 722–730, Aug. 2014.
https://doi.org/10.1049/iet-rpg.2013.0277

Alireza Askarzadeh, A novel metaheuristic method for solving constrained engineering optimization problems: Crow search algorithm, Elsevier, Computers and Structures, vol. 169, pp.1-12, 2016.
https://doi.org/10.1016/j.compstruc.2016.03.001

Dina A. Zaki1, Hany M. Hasanien1, Noha H. El-Amary2, AY Abdelaziz1, Crow Search Algorithm for Improving the Performance of an Inverter–Based Distributed Generation System, 2017 Nineteenth International Middle East Power Systems Conference (MEPCON), Menoufia University, Egypt 19-21 December 2017.
https://doi.org/10.1109/mepcon.2017.8301251

Hany M. Hasanien, and S.M. Muyeen, Affine projection algorithm based adaptive control scheme for operation of variable-speed wind generator, IET Generation, Transmission & Distribution ,Vol. 9, Issue 16, 03 December 2015, p. 2611 – 2616.
https://doi.org/10.1049/iet-gtd.2014.1146

Kazuhiko Ozeki, Tetsuo Umeda, An adaptive filtering algorithm using an orthogonal projection to an affine subspace and its properties, Electronics and Communications in Japan (Part I: Communications) banner Volume 67, Issue 5, May 1984, Pages 19-27.
https://doi.org/10.1002/ecja.4400670503

S. Werner; P.S.R. Diniz, Set-membership affine projection algorithm, IEEE Signal Processing Letters, Vol. 8, Issue: 8, Aug. 2001, Page(s): 231 – 235.
https://doi.org/10.1109/97.935739

S. M. Muyeen and Hany M. Hasanien, Operation and control of HVDC stations using continuous mixed p-norm-based adaptive fuzzy technique, IET Generation, Transmission & Distribution, Vol. 11, Issue 9, 22 June 2017, p. 2275 – 2282.
https://doi.org/10.1049/iet-gtd.2016.1690

M. F. Zia et al., Microgrids energy management systems: A critical review on methods, solutions, and prospects, Applied Energy, vol.222, pp.1033–1055, July 2018.
https://doi.org/10.1016/j.apenergy.2018.04.103

Menniti, D., Sorrentino, N., Pinnarelli, A., Brusco, G., Barone, G., Motta, M., Burgio, A., A Laboratory-Scale Prototype of a Smart User Network with DBS Control, (2017) International Review of Electrical Engineering (IREE), 12 (6), pp. 485-497.
https://doi.org/10.15866/iree.v12i6.12706

Wongdet, P., Leeton, U., Marungsri, B., Line Loss Reduction by Optimal Location of Battery Energy Storage System for the Daily Operation in Microgrid with Distributed Generations, (2018) International Journal on Energy Conversion (IRECON), 6 (3), pp. 83-89.
https://doi.org/10.15866/irecon.v6i3.15095

Hany M. Hasanien, S. M. Muyeen, and Junji Tamura, Speed Control of Permanent Magnet Excitation Transverse Flux Linear Motor by Using Adaptive Neuro-Fuzzy Controller, Energy Conversion and Management, Elsevier, vol. 51, issue 12, pp. 2762-2768, Dec. 2010.
https://doi.org/10.1016/j.enconman.2010.05.032

Farzana Islam, Hany M. Hasanien, Ahmed Al-Durra, and S. M. Muyeen, A New Control Strategy for Smoothing of Wind Farm Output using Short-Term Ahead Wind Speed Prediction and Flywheel Energy Storage System, in the proceeding of American Control Conference, ACC, 27-29June 2012, Montreal, Canada.
https://doi.org/10.1109/acc.2012.6315503

PSCAD/EMTDC manual, Manitoba HVDC Research Center, 1994.

André I. Khuri and Siuli Mukhopadhyay, "Response surface methodology" WILEY, vol. 2, Issue 2, pp. 128–149, 12 Mar. 2010.

Russell R. Barton, Response Surface Methodology, Springer Link, Encyclopedia of Operations Research and Management Science, pp. 1307-1313, Jan. 2016.

Dongcheol Kim and Sehun Rhee, Design of an optimal fuzzy logic controller using response surface methodology, IEEE Transactions on Fuzzy Systems, vol. 9, Issue 3, pp. 404–412, Jun 2001.
https://doi.org/10.1109/91.928737

Xin-She Yang, Flower Pollination Algorithm for Global Optimization, Unconventional Computation and Natural Computation 2012, Lecture Notes in Computer Science, Vol. 7445, pp. 240-249 (2012).
https://doi.org/10.1007/978-3-642-32894-7_27

I. Y. KimO. L. de WeckEmail, Adaptive weighted sum method for multiobjective optimization: a new method for Pareto front generation, Structural and Multidisciplinary Optimization, Feb. 2006, Vol. 31, Issue 2, pp 105–116.
https://doi.org/10.1007/s00158-005-0557-6

Hany M. Hasanien, S.M. Muyeen, Speed control of grid-connected switched reluctance generator driven by variable speed wind turbine using adaptive neural network controller, Elsevier, Electrical Power Systems Research 84 (2012) 206-213.
https://doi.org/10.1016/j.epsr.2011.11.019


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