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Improvement in Two Adjacent Microgrids Frequency Using the AC-to-AC Converter Based on Sugeno Fuzzy Control Scheme

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Abstract

Microgrid and multi-microgrid are solution for integrating DGs into a system and are components of future power systems. Exploitation and frequency control in islanding mode is of special importance due to the lack of sufficient spinning reserve. Almost, DGs are connected to the microgrid through inverters and frequency deviation from an allowed threshold makes their removal from the main grid which is not acceptable for consumers and producers of the electrical power. One way for frequency control and optimized exploitation of the entire system is to connect the adjacent microgrids. Indeed, the microgrids cooperate together through exchanging their power surplus and power shortage. In this paper, a new hybrid control method based on Sugeno- and Mamdani-type fuzzy inference system to control an AC-to-AC converter connector of two adjacent microgrids has been proposed. An analytical method for controlling the converter was developed using the Sugeno. The proposed method is simple and practical and can be easily implemented. Moreover, to eliminate the steady-state error and to modify the performance of the control system, it is proposed to use a PI fuzzy controller in its outer loop. Simulation results show that the AC-to-AC converter with the proposed controlling strategy has prevented the intensive frequency deviations and has improved the frequency control in both microgrids.

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Abbreviations

MG:

Microgrid

DG:

Distributed generation

FACTS:

Flexible alternating current transmission system

HVDC:

High-voltage direct current

SMES:

Superconducting magnetic energy storage

PV:

Photovoltaic

MT:

Microturbine

WT:

Wind turbine

FC:

Fuel cell

k :

Number of microgrid (1 or 2)

\(V_{{d_{k} }}\) :

The voltage of converter bus in “d” axis

\(V_{{q_{k} }}\) :

The voltage of converter bus in “q” axis

\(E_{{d_{k} }}\) :

The voltage of MG bus in “d” axis

\(E_{{q_{k} }}\) :

The voltage of MG bus in “q” axis

\(R_{k}\) :

Resistance of line

\(i_{dk}\) :

Currents contributed of “d” axis in line

\(i_{qk}\) :

Currents contributed of “q” axis in line

\(L_{k}\) :

Inductance of line

\(\omega\) :

Angular velocity

\(S\) :

Complex variable

\(K_{{dp_{k} }}\) :

Constant

\(K_{{qp_{k} }}\) :

Constant

\(P_{k}\) :

Active power

\(Q_{k}\) :

Reactive power

References

  1. Kewat, S., Singh, B., Hussain, I.: Power management in PV-battery-hydro based standalone microgrid. IET Renew. Power Gener. 12(4), 391–398 (2018). https://doi.org/10.1049/iet-rpg.2017.0566

    Article  Google Scholar 

  2. Moradi, M.H., Eskandari, M., Hosseinian, S.M.: Cooperative control strategy of energy storage systems and micro sources for stabilizing microgrids in different operation modes. Electr. Power Energy Syst. 78, 390–400 (2016). https://doi.org/10.1016/j.ijepes.2015.12.002

    Article  Google Scholar 

  3. Xu, Z., Yang, P., Zhang, Y., Zeng, Z., Zheng, C., Peng, J.: Control devices development of multi-microgrids based on hierarchical structure. IET Gener. Transm. Distrib. 10(16), 4249–4256 (2016). https://doi.org/10.1049/iet-gtd.2016.0796

    Article  Google Scholar 

  4. Kargarian, A., Rahmani, M.: Multi-microgrid energy system operation incorporating distribution-interline power flow controller. Electr. Power Syst. Res. 129, 208–216 (2016). https://doi.org/10.1016/j.epsr.2015.08.015

    Article  Google Scholar 

  5. Vasiljevska, J., Pecas Lopez, J.A., Matos, M.A.: Evaluating the impact of the multi-microgrid concept using multicriteria decision aid. Electr. Power Syst. Res. 91, 44–51 (2012). https://doi.org/10.1016/j.epsr.2012.04.013

    Article  Google Scholar 

  6. Khodaei, A.: Provisional microgrid planning. IEEE Transection Power Syst. 8(3), 1096–1104 (2017). https://doi.org/10.1109/TSG.2015.2469719

    Google Scholar 

  7. Majzoobi, A., Khodaei, A.: Application of microgrid in supporting distribution grid flexibility. IEEE Transection Power Syst. 32(5), 3660–3669 (2017). https://doi.org/10.1109/TPWRS.2016.2635024

    Article  Google Scholar 

  8. Sur Tam, K., Kumar, P.: Application of superconductive magnetic energy storage in an asynchronous link between power system. IEEE Trans. Energy Convers. 5(3), 436–444 (1990)

    Article  Google Scholar 

  9. Chaine, S., Tiipathy, M.: Design of an optimal SMES for automatic generation control of two-area thermal power system using Cuckoo search algorithm. J. Electr. Syst. Inf. Technol. 2(1), 1–13 (2015). https://doi.org/10.1016/j.jesit.2015.03.001

    Google Scholar 

  10. Kamel, R.M., Chaouachi, A., Nagasaka, K.: Analysis of transient dynamic response of two nearby micro-grids under three different control strategies. Low Carbon Economy 1, 39–53 (2011)

    Article  Google Scholar 

  11. Papathanassious S, Hatziargyrion N, Strunz K. A.: benchmark low voltage microgrid network. In: CIGRE Symp. On Power System with Dispersed Generation, pp. 1–8 (2005)

  12. Lidula, N.W.A., Rajapakse, A.D.: Microgrids research: a review of experimental microgrids and test systems. Renew. Sustain. Energy Rev. 15, 186–202 (2011). https://doi.org/10.1016/j.rser.2010.09.041

    Article  Google Scholar 

  13. Zamora, R., Srivastava, A.K.: Controls for microgrids with storage: review, challenges, and research needs. Renew. Sustain. Energy Rev. 14, 2009–2018 (2010). https://doi.org/10.1016/j.rser.2010.03.019

    Article  Google Scholar 

  14. Zhu, Y., Tomsovic, K.: Development of models for analyzing the load-following performance of micro turbines and fuel cells. Electr. Power Syst. Res. 62, 1–11 (2002). https://doi.org/10.1016/S0378-7796(02)00033-0

    Article  Google Scholar 

  15. Mohato, T., Mukherjee, V.: a novel scaling factor based fuzzy logic controller for frequency control of an isolate hybrid power system. Energy 130, 339–350 (2017). https://doi.org/10.1016/j.energy.2017.04.155

    Article  Google Scholar 

  16. Nattapol S.W, Issarachai N.: Sugeno fuzzy logic control-based smart pv generators for frequency control in loop interconnected power systems. In: International Electrical Engineering Congress (iEECON). https://doi.org/10.1109/ieecon.2014.6925884 (2014)

  17. Parise G, Martirano L, Kermani M, Kermani M.: Designing a power control strategy in a microgrid using PID/fuzzy controller based on battery energy storage. In: Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe (EEEIC/I&CPS Europe). https://doi.org/10.1109/eeeic.2017.7977856 (2017)

  18. Chauhan R.k, Rajpurohit B.S, Hebner R.E, Singh S.N, Longatt, F.M.G.: Design and Analysis of PID and Fuzzy-PID Controller for Voltage Control of DC Microgrid. Innovative Smart Grid Technologies—Asia (ISGT ASIA), 2015 IEEE. https://doi.org/10.1109/isgt-asia.2015.7387019 (2015)

  19. Zhao, Z.Y., Tomizoka, M., Isaka, S.: Fuzzy gain scheduling of PID controllers. IEEE Trans. Syst. Man Cybern. 23(5), 1392–1398 (1993). https://doi.org/10.1109/21.260670

    Article  Google Scholar 

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Correspondence to Heydar Ali Shayanfar.

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Alefy, B., Shayanfar, H.A., Soleymani, S. et al. Improvement in Two Adjacent Microgrids Frequency Using the AC-to-AC Converter Based on Sugeno Fuzzy Control Scheme. Int. J. Fuzzy Syst. 21, 782–792 (2019). https://doi.org/10.1007/s40815-018-00605-7

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