Comprehensive Modelling of Renewable Energy Based Microgrid for System Level Control Studies

K. Sandeep Rao, Y. V. Pavan Kumar

Abstract


Renewable energy will constitute the backbone of the future sustainable energy systems by forming onsite microgrids. This reduces the utility grid burden and outages. Besides, microgrids can address the issues of greenhouse gasses, global warming, fossil fuel evaporations, slow start-up/shutdown times, etc. However, their dependency on geography/climatic conditions lead to the exhibition of intermittent output characteristics. Moreover, a majority of microgrids must be interfaced with the utility grid through power electronic converters, which are static and do not possess any kinetic energy. Due to this nature, these systems are highly sensitive to events, and thereby, creating issues with fast detection of islanding during abnormalities. Furthermore, for superior power quality, stability, energy yield, reliability, and protection, they must be properly coordinated with the utility grid or neighbour microgrids via robust control mechanisms. To study all these factors, lead to a better system, it is desired to have a perfect model of the system. Many literary works have developed microgrid models by focusing on a very particular aspect or component of it with respect to their area of research. But, comprehensive models are much required for many different studies as mentioned above. Further, the comprehensive model helps in detailed system-level studies. So, with this intension, this paper proposes the development of comprehensive model of the microgrid which involves all its key characteristics/elements. Further, system-level control study is presented to persuade the importance of this proposed model. From results, the WJC method is recommended as the best method to design microgrid’s controller.

Keywords


Microgrids; Microgrid model; Renewable energy sources; System modelling; Control study; Electrical engineering

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References


Y. V. P. Kumar and B. Ravikumar, “Fuzzy logic based adaptive virtual inertia in droop control operation of the microgrid for improved transient response,” IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), Bangalore, India, pp. 1-6, 8-10 Nov. 2017.

D. Xu, Y.Shi, and C. Feng “Identification modelling method of voltage frequency response model for microgrid in islanded mode,” IEEE 10th International Symposium on Power Electronics for Distributed Generation Systems (PEDG), Xi'an, China, pp. 762-767, 3-6 June 2019.

H. Liu, C. Cai, Y. Tao and J. Chen, “Dynamic equivalent modeling for microgrids based on LSTM recurrent neural network,” 2018 Chinese Automation Congress (CAC), Xi'an, China, pp. 4020-4024, 30 Nov.-2 Dec. 2018.

Y. V. Pavan Kumar and R. Bhimasingu, “Electrical machines based DC/AC energy conversion schemes for the improvement of power quality and resiliency in renewable energy microgrids,” International Journal of Electrical Power & Energy Systems, vol. 90, pp. 10-26, Sep. 2017.

A. M. Eltamaly and H. M. H. Farh, PV Characteristics, Performance and Modelling, Cham: Springer Green Energy and Technology, pp. 31-63, July 2019, ch. 2.

A. Durgadevi, S. Arulselvi and S. P. Natarajan, “Photovoltaic modeling and its characteristics”, 2011 International Conference on Emerging Trends in Electrical and Computer Technology, Nagercoil, India, pp. 469-475, 23-24 March 2011.

Hyeonah Park and Hyosung Kim, “PV cell modeling on single-diode equivalent circuit”, 39th Annual Conference of the IEEE Industrial Electronics Society, Vienna, Austria, pp. 1845-1849, 10-13 Nov. 2013.

C. Huang, M. Hwang, H. Chen and P. Kuo, “PV system power model application in smart cities”, 2019 IEEE 2nd International Conference on Knowledge Innovation and Invention (ICKII), Seoul, Korea (South), pp. 31-32, 12-15 July 2019.

S. Kolesnik and A. Kuperman, "On the similarity between low-frequency equivalent circuits of photovoltaic and wind generators," in IEEE Transactions on Energy Conversion, vol. 30, no. 1, pp. 407-409, March 2015.

S. Gadelovitas, A. Kuperman, M. Sitbon, I. Aharon, and S. Singer, “Interfacing renewable energy sources for maximum power transfer—Part I: Statics,” Renewable and Sustainable Energy Reviews, vol. 31, pp. 501-508, Mar. 2014.

M. Azri, N. Ayu, Z. Ibrahim, N.Rahim and S.Rahin, “Mathematical modelling for proton exchange membrane fuel cell,” Joural of theorital and applied information technology, vol. 86, no. 3, pp. 409-419, 2005.

S. L. Chavan and D. B. Talange, “Electrical equivalent circuit modeling and parameter estimation for PEM fuel cell,” 2017 Innovations in Power and Advanced Computing Technologies (i-PACT), Vellore, India, pp. 1-6, 21-22 April 2017.

J. Zhu, S. Wu, X. Luo and S. Liu, “Equivalent voltage and current models for PEM fuel cell generation system in grid-connected systems,” 2014 17th International Conference on Electrical Machines and Systems (ICEMS), Hangzhou, China, pp. 308-313, 22-25 Oct. 2014.

V. Boscaino, R. Miceli, G. Capponi, and D. Casadei, “Fuel cell modelling and test: Experimental validation of model accuracy,” 4th International Conference on Power Engineering, Energy and Electrical Drives, Istanbul, Turkey, pp. 1795-1800, 13-17 May 2013.

N. Beg, A. Armstorfer, A. Rosin and H. Biechl, “Mathematical Modeling and Stability Analysis of a Microgrid in Island Operation,” 2018 International Conference on Smart Energy Systems and Technologies (SEST), Seville, Spain, pp. 1-6, 10-12 Sept. 2018.

R. Stanev, T. Simeonov and T. Asenov, “Mathematical modelling of micro and nanogrids with distributed generation,” 2018 Seventh Balkan Conference on Lighting (BalkanLight), Varna, pp. 1-4, 20-22 Sept. 2018.

M. Rasheduzzaman, A. M. Jacob, and W. K. Jonathan, “Reduced-order small signal model of microgrid system,” IEEE Transactions on Sustainable Energy, vol. 6, no. 4, pp. 1292-1305, Oct. 2015.

Y. Kai, A. Qian, S. Wang, N. Jianmo, and L. Tianguang, “Analysis and optimization of droop controller for microgrid system based on small-signal dynamic model,” IEEE Transactions on Smart Grid, vol. 7, no. 2, pp. 695-705, Mar. 2016.

L. Meghapola and D. Robinson, Dynamic Modelling, Simulation and Control of a Commercial Building Microgrid,” Cham: Springer Studies in Systems, Decision and Control, vol. 57, pp.119-140, Mar. 2016, ch. 7.

D. Choi, J. Yoo, D. Kim, S. H. Lee and J. Park, “Analysis on Effect of SFCL Applied to an Isolated Microgrid With a Dynamic Load Model,” IEEE Transactions on Applied Superconductivity, vol. 27, no. 4, pp. 1-4, June 2017.

M. A. Allam, A. A. Hamad and M. Kazerani, “A Generic Modeling and Power-Flow Analysis Approach for Isochronous and Droop-Controlled Microgrids,” IEEE Transactions on Power Systems, vol. 33, no. 5, pp. 5657-5670, Sept. 2018.

S. Leitner, M. Yazdanian, A. Mehrizi-Sani and A. Muetze, “Small-Signal Stability Analysis of an Inverter-Based Microgrid With Internal Model-Based Controllers,” IEEE Transactions on Smart Grid, vol. 9, no. 5, pp. 5393-5402, Sept. 2018.

A. Francés, R. Asensi, Ó. García, R. Prieto and J. Uceda, “Modeling Electronic Power Converters in Smart DC Microgrids-An Overview,” IEEE Transactions on Smart Grid, vol. 9, no. 6, pp. 6274-6287, Nov. 2018.

A. Bonfiglio et al., “Modeling and Experimental Validation of an Islanded No-Inertia Microgrid Site,” IEEE Transactions on Sustainable Energy, vol. 9, no. 4, pp. 1812-1821, Oct. 2018.

S. K. Sarkar, F. R. Badal, and K. S. Das, “A comparative study of high performance robust PID controller for grid voltage control of islanded microgrid,” Springer International Journal of Dynamics Control, pp. 1207-1217, 2018.

H. Nian and L. Kong, “Transient Modeling and Analysis of VSC Based DC Microgrid During Short Circuit Fault,” IEEE Access, vol. 7, pp. 170604-14, Nov. 2019.

B. Zaker, G. B. Gharehpetian and M. Karrari, “A Novel Measurement-Based Dynamic Equivalent Model of Grid-Connected Microgrids,” IEEE Transactions on Industrial Informatics, vol. 15, no. 4, pp. 2032-2043, April 2019.

N. R. Rahmanov, O. Z. Karimov, “AC and DC Combined Microgrid, Modeling and Operation,” Cham: Springer Microgrid Architectures, Control and Protection Methods, pp. 47-68, July 2019.

M. Alramlawi and P. Li, “Design Optimization of a Residential PV-Battery Microgrid With a Detailed Battery Lifetime Estimation Model,” IEEE Transactions on Industry Applications, vol. 56, no. 2, pp. 2020-2030, March-April 2020.

C. Cai, H. Liu, Y. Tao, Z. Deng, W. Dai and J. Chen, “Microgrid Equivalent Modeling Based on Long Short-Term Memory Neural Network,” IEEE Access, vol. 8, pp. 23120-23133, Jan. 2020.

S. A. R. Konakalla, A. Valibeygi and R. A. de Callafon, “Microgrid Dynamic Modeling and Islanding Control With Synchrophasor Data,” IEEE Transactions on Smart Grid, vol. 11, no. 1, pp. 905-915, Jan. 2020.

Y. Peng, Z. Shuai, X. Liu, Z. Li, J. M. Guerrero and Z. J. Shen, “Modeling and Stability Analysis of Inverter-Based Microgrid Under Harmonic Conditions,” IEEE Transactions on Smart Grid, vol. 11, no. 2, pp. 1330-1342, Mar. 2020.

E. Apirilia, K. Meng, H. H. Zeineldin, M. A. Hosani, and Z. Y. Dong, “Modelling of distributed generators and converters control for power flow analysis of networked islanded hybrid microgrid,” Elsevier Electric Power Systems Research, vol. 184, pp. 106343, July 2020.

Yong Shi, et. al., “A simplified microgrid voltage and frequency response characteristic modelling method based on system identification,” Elsevier International Journal of Electrical Power & Energy Systems, vol. 121, Oct. 2020.

W. G. Gil, O. D. Monotyo, and A. Garces, “Modeling and control of a small hydro-power plant for a DC microgrid,” Elsevier Electric Power Systems Research, vol. 180, Mar. 2020.

Y. V. Pavan Kumar and R. Bhimasingu, “Renewable energy based microgrid system sizing and energy management for green buildings”, Journal of Modern Power Systems and Clean Energy, vol. 3, no. 1, pp. 1-13, Mar. 2015.

Y. E. García Vera, R. Dufo-López, and J. L. Bernal-Agustín, “Energy management in microgrids with renewable energy sources: a literature review,” Applied Sciences, vol. 9, no. 18, pp. 3854, Sep. 2019.

Y. V. Pavan Kumar and R. Bhimasingu, “Performance analysis of static versus rotary DC/AC power converters for hybrid renewable energy based microgrid applications”, 2016 IEEE Region 10 Conference (TENCON), Singapore, pp. 1456-1461, 22-25 Nov. 2016.

S. d. J. Manrique Machado, S. A. O. da Silva, J. R. B. d. A. Monteiro and A. A. de Oliveira, “Network modeling influence on small-signal reduced-order models of inverter-based AC microgrids considering virtual impedance”, IEEE Transactions on Smart Grid, vol. 12, no. 1, pp. 79-92, Jan. 2021.

Z. Chen, X. Yu, W. Xu and G. Wen, “Modeling and control of islanded DC microgrid clusters with hierarchical event-triggered consensus algorithm”, IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 68, no. 1, pp. 376-386, Jan. 2021.

V. Viswanatha and V. S. Reddy, “A complete mathematical modeling, simulation and computational implementation of boost converter via MATLAB/Simulink,” International Journal of Pure and Applied Mathematics, vol. 114, no. 10, pp. 407-419, 2017.

A. Singh and A. Alam, “A new mathematical technique and analysis of a three-phase voltage source rectifier,” 2017 International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS), Coimbatore, India, pp. 1-5, 17-18 March 2017.

J. Wang, B. Ji, T. Wu and J. Chen, “Modeling and analysis of a single phase inverter system with PWM switch model,” 40th Annual Conference of the IEEE Industrial Electronics Society, Dallas, TX, USA, pp. 5115-5119, 29 Oct.-1 Nov. 2014.

D. De Santis and M. Chen, “Design of active low pass filters to reduce harmonic current emission,” 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, pp. 1059-1065, 29 Oct.-1 Nov. 2017.

R. Karthik, A. S. Hari, Y. V. Pavan Kumar and D. J. Pradeep, “Modelling and Control Design for Variable Speed Wind Turbine Energy System,” 2020 International Conference on Artificial Intelligence and Signal Processing (AISP), Amaravati, India, pp. 1-6, 10-12 Jan. 2020.




DOI (PDF): https://doi.org/10.20508/ijrer.v11i1.11745.g8127

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