2.5

CiteScore

8.8

Global Impact Factor

Fuzzy Logic-Based Control Strategy for Minimizing DG Genset Runtime in Solar PV–Battery–DG AC Microgrids


Paper ID: EIJTEM_2025_12_4_199-209

Author's Name: Farheen Sulthana, Dr. K. Srinivas

Volume: 12

Issue: 4

Year: 2025

Page No: 199-209

Abstract:

Diesel generator (DG) Genset-based microgrids play a crucial role in supplying power to remote regions; however, their continuous operation often results in high fuel costs and increased environmental emissions. Although it is not feasible to completely eliminate DG usage, its operational time can be significantly reduced through an effective control mechanism. This study introduces an enhanced control approach for a hybrid AC microgrid comprising "Photovoltaic solar array, energy storage battery, and diesel-based generator set" aiming to lower the system’s reliance on the diesel generator. The proposed method ensures that the DG Genset operates only during critical conditions, thereby cutting down its runtime and improving transition stability between different operating modes. The control logic is built on a rule-based framework that evaluates SPV generation levels, battery charge status, and load requirements to determine whether DG support is necessary. Moreover, when the DG is in operation, it operates at full capacity while maintaining a unity power factor, optimizing fuel utilization. The system employs a Fuzzy Logic Controller alongside a cascaded second-order generalized integrator (C-SOGI)-based phase-locked loop (PLL) to achieve precise synchronization and improved power quality. Simulation results highlight the superior effectiveness and efficiency of the proposed control approach when compared to traditional techniques.

Keywords: Fuzzy Logic Controller (FLC), Diesel Genset, Battery Energy Storage System (BESS), Solar Photovoltaic (SPV), Microgrid Control, Cascaded SOGI-PLL, Power Quality, DG Runtime Reduction, Hybrid AC Microgrid, Renewable Energy Integration

References:

[1] B. Singh and S. Murthy, “Power Quality Enhancement in Microgrids Using Active Power Filters,” IEEE Transactions on Industrial Electronics, vol. 62, no. 7, pp. 4493–4502, July 2015.
[2] H. Patel and V. Agarwal, “MATLAB-Based Modeling to Study the Effects of Partial Shading on PV Array Characteristics,” IEEE Transactions on Energy Conversion, vol. 23, no. 1, pp. 302–310, Mar. 2008.
[3] M. R. Banaei and A. Keyhani, “Analysis of Voltage Harmonics in a Hybrid Microgrid With Renewable Sources,” IEEE Transactions on Power Delivery, vol. 26, no. 4, pp. 2410–2419, Oct. 2011.
[4] C. Cecati, A. Dell’Aquila, and M. Liserre, “A Fuzzy-Logic-Based Approach for Power Quality Improvement in Hybrid Microgrids,” IEEE Transactions on Industrial Electronics, vol. 55, no. 5, pp. 2084–2092, May 2008.
[5] D. Mahinda Vilathgamuwa and P. C. Loh, “Modeling and Control of Microgrids With Renewable Energy Sources,” IEEE Transactions on Industrial Electronics, vol. 53, no. 5, pp. 1443–1451, Oct. 2006.
[6] A. K. Saha and B. Chatterjee, “Performance Analysis of Fuzzy Logic-Based Controllers for Power Quality Enhancement in Microgrids,” International Journal of Electrical Power & Energy Systems, vol. 107, pp. 513–523, May 2019.
[7] A. K. Sadigh and S. Danyali, “Cascaded Multilevel Inverter with Fuzzy Logic Controller for Grid-Connected PV Systems,” IEEE Journal of Emerging and Selected Topics in Power Electronics, vol. 3, no. 4, pp. 1071–1078, Dec. 2015.
[8] S. Mikkili and A. P. Suresh, “A Review on Active Filters for Power Quality Improvement in Microgrids,” Renewable and Sustainable Energy Reviews, vol. 24, pp. 426–435, Aug. 2013.
[9] M. T. Hagh and M. R. Banaei, “THD Reduction in Microgrid Systems Using Intelligent Control Techniques,” Electric Power Systems Research, vol. 142, pp. 132–140, Jan. 2017.
[10] Y. Wang, M. Cheng, and Y. Zhang, “Design and Analysis of C-SOGI-Based Synchronization Techniques for Power Systems,” IEEE Access, vol. 6, pp. 60413–60422, 2018.
[11] S. K. Adhikari and A. Mitra, “Real-Time Simulation of a Hybrid Microgrid With Energy Management System Using MATLAB/Simulink,” International Journal of Electrical Power & Energy Systems, vol. 122, p. 106139, Oct. 2020.
[12] K. Rouzbehi, A. Luna, and P. Rodriguez, “Microgrid Control Architectures for Reliability Enhancement,” IEEE Transactions on Smart Grid, vol. 7, no. 2, pp. 956–965, Mar. 2016.
[13] T. L. Vandoorn, B. Meersman, and L. Vandevelde, “Voltage and Frequency Control During Islanded Operation of Microgrids: A Review,” IEEE Transactions on Power Delivery, vol. 29, no. 2, pp. 946–953, Apr. 2014.
[14] A. Teymour and S. Khormizi, “Hybrid Fuzzy-PID Controller for Voltage Control in Islanded Microgrids,” IEEE Transactions on Smart Grid, vol. 9, no. 6, pp. 6720–6731, Nov. 2018.
[15] M. A. Hannan, M. J. Hossain, and A. Mohamed, “Real-Time Testing of a Fuzzy Logic Controller for Energy Management in Microgrids,” Applied Energy, vol. 210, pp. 85–94, Jan. 2018.
[16] A. Sharma, B. Singh, and M. S. Bhaskar, “C-SOGI-PLL Based Robust Synchronization and Fuzzy Control for AC Microgrid Applications,” IEEE Transactions on Smart Grid, vol. 13, no. 2, pp. 1345–1354, Mar. 2022.

View PDF