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Research Article |

Multiple Grid-Connected Microgrids with Distributed Generators Energy Sources Voltage Control in Radial Distribution Network Using ANFIS to Enhance Energy Management

Author(s): Ebenezer Narh Odonkor*, Peter Musau Moses and Aloys Oriedi Akumu

Published In : International Journal of Electrical and Electronics Research (IJEER)        Volume 11, Issue 4

Publisher : FOREX Publication

Published : 23 December 2023

e-ISSN : 2347-470X

Page(s) : 1188-1203

DOI: https://doi.org/10.37391/ijeer.110441

Abstract

Voltage conditions and power quality for customers and utility equipment are significantly impacted by the addition of microgrid-generating sources within distribution networks. Designing the right control for distributed generators for the various generating units of a Microgrid is important in enabling the synchronization of renewable energy generation sources, energy storage unity, and integration of Microgrids into a radial distribution network. This research provides control mechanisms based on an adaptive technique employing ANFIS, to reduce fluctuation of voltage and current difficulties faced when multiple renewable energy sources and storage systems are incorporated into a distribution network. A step-by-step Voltage Source Converter (VSC) Controller was designed for controlling the DC voltage power sources used. The ANFIS training, test system modeling, and the distributed energy source were modeled in MATLAB/SIMULINK 2021a Software. Four microgrids were developed each consisting of a Photovoltaic plant, Wind Turbine, and Battery Storage System. Non-critical and critical loads were considered during the system testing. The simulated result reveals that the proposed control system works effectively in maintaining a constant system voltage of 340VAC which significantly mitigates system voltage and current fluctuation without using any static synchronous compensator (STATCOM) and power system stabilizers.

Keywords: ANFIS, Distributed Generators, Microgrid, Radial Distribution network, Voltage Source Converter.




Ebenezer Narh Odonkor*, Student, Pan African University Institute for Basic Sciences, Technology and Innovation (PAUSTI), Kenya; Email: ebenezer.narh.odonkor@ttu.edu.gh

Peter Musau Moses, Department of Electrical, Electronic and Information Engineering, South Eastern Kenya University, Kenya

Aloys Oriedi Akumu, Department of Electrical Engineering, Tshwane University of Technology, South Africa

    [1] K. Mohammed Saleh and C. Ravi Kumar, “An ANFIS Based Control Strategy to Improve Performance of Shunt Active Power Filter for Renewable Power Generation Systems,” Int. J. Sci. Eng. Technol. Res., vol. 04, no. 26, pp. 4994–5002, 2015, [Online]. Available: www.ijsetr.com
    [2] M. Dashtdar et al., “Improving the Power Quality of Island Microgrid with Voltage and Frequency Control Based on a Hybrid Genetic Algorithm and PSO,” IEEE Access, vol. 10, no. October, pp. 105352–105365, 2022, doi: 10.1109/ACCESS.2022.3201819.
    [3] A. Ovalle, G. Ramos, S. Bacha, A. Hably, and A. Rumeau, “Decentralized control of voltage source converters in microgrids based on the application of instantaneous power theory,” IEEE Trans. Ind. Electron., vol. 62, no. 2, pp. 1152–1162, 2015, doi: 10.1109/TIE.2014.2336638.
    [4] S. Siddaraj, U. R. Yaragatti, and N. Harischandrappa, “Coordinated PSO-ANFIS-Based 2 MPPT Control of Microgrid with Solar Photovoltaic and Battery Energy Storage System,” J. Sens. Actuator Networks Artic., 2023.
    [5] A. Sugathan and B. Binoy, “ANFIS based PLL driven droop controlled islanded AC Microgrid,” SSRN Electron. J., 2022, doi: 10.2139/ssrn.4271592.
    [6] R. Bakhshi-Jafarabadi, J. Sadeh, E. Rakhshani, and M. Popov, “High power quality maximum power point tracking-based islanding detection method for grid-connected photovoltaic systems,” Int. J. Electr. Power Energy Syst., vol. 131, no. February, p. 107103, 2021, doi: 10.1016/j.ijepes.2021.107103.
    [7] L. F. Grisales-Noreña, O. D. Montoya, and C. A. Ramos-Paja, “An energy management system for optimal operation of BSS in DC distributed generation environments based on a parallel PSO algorithm,” J. Energy Storage, vol. 29, 2020, doi: 10.1016/j.est.2020.101488.
    [8] M. A. Soliman, H. M. Hasanien, H. Z. Azazi, E. E. El-kholy, and S. A. Mahmoud, “Hybrid ANFIS-GA-based control scheme for performance enhancement of a grid-connected wind generator,” IET Renew. Power Gener., vol. 12, no. 7, pp. 832–843, 2018, doi: 10.1049/iet-rpg.2017.0576.
    [9] J. G. De Matos, F. S. F. E Silva, and L. A. S. Ribeiro, “Power control in AC isolated microgrids with renewable energy sources and energy storage systems,” IEEE Trans. Ind. Electron., vol. 62, no. 6, pp. 3490–3498, 2015, doi: 10.1109/TIE.2014.2367463.
    [10] L. A. Aloo, P. K. Kihato, S. I. Kamau, and R. S. Orenge, “Modeling and control of a photovoltaic-wind hybrid microgrid system using GA-ANFIS,” Heliyon, vol. 9, no. 4, p. e14678, 2023, doi: 10.1016/j.heliyon. 2023.e14678.
    [11] U. K. Renduchintala, C. Pang, K. M. Tatikonda, and L. Yang, “ANFIS‐fuzzy logic based UPQC in interconnected microgrid distribution systems: Modeling, simulation and implementation,” J. Eng., vol. 2021, no. 1, pp. 6–18, 2021, doi: 10.1049/tje2.12005.
    [12] M. Rupesh and D. T. S. Vishwanath, “Fuzzy and ANFIS Controllers to Improve the Power Quality of Grid Connected PV System with Cascaded Multilevel Inverter,” Int. J. Electr. Electron. Res., vol. 9, no. 4, pp. 89–95, 2021, doi: 10.37391/ijeer.0904011.
    [13] D. Gamage, X. Zhang, A. Ukil, C. Wanigasekara, and A. Swain, “Design of ANFIS Controller for a DC Microgrid,” 3rd Int. Conf. Energy, Power Environ. Towar. Clean Energy Technol. ICEPE 2020, 2021, doi: 10.1109/ICEPE50861.2021.9404439.
    [14] M. Khaleel, Y. Zıyodulla, N. Yasser, and H. J. El-khozondar, “Enhancing Microgrid Performance through Hybrid Energy Storage System Integration: ANFIS and GA Approaches,” Int. J. Electr. Eng. Sustain., pp. 38–48, 2023.
    [15] P. S. Kale and N. R. Bhasme, “Energy Management System in Microgrid with ANFIS Control Scheme using Heuristic Algorithm,” Int. Res. J. Eng. Technol., pp. 646–655, 2022, [Online]. Available: www.irjet.net.
    [16] T. N. Prasad et al., “Power management in hybrid ANFIS PID based AC–DC microgrids with EHO based cost optimized droop control strategy,” Energy Reports, vol. 8, pp. 15081–15094, 2022, doi: 10.1016/j.egyr.2022.11.014.
    [17] Z. Civelek, “Optimization of fuzzy logic (Takagi-Sugeno) blade pitch angle controller in wind turbines by genetic algorithm,” Eng. Sci. Technol. an Int. J., vol. 23, no. 1, pp. 1–9, 2020, doi: 10.1016/j.jestch.2019.04.010.
    [18] Q. V. Ngo, C. Yi, and T. T. Nguyen, “The fuzzy-PID based-pitch angle controller for small-scale wind turbine,” Int. J. Power Electron. Drive Syst., vol. 11, no. 1, pp. 135–142, 2020, doi: 10.11591/ijpeds.v11.i1.pp135-142.
    [19] A. Iqbal, D. Ying, A. Saleem, M. A. Hayat, and K. Mehmood, “Efficacious pitch angle control of variable-speed wind turbine using fuzzy based predictive controller,” Energy Reports, vol. 6, pp. 423–427, 2020, doi: 10.1016/j.egyr.2019.11.097.
    [20] X. Yin, W. Zhang, Z. Jiang, and L. Pan, “Adaptive robust integral sliding mode pitch angle control of an electro-hydraulic servo pitch system for wind turbine,” Mech. Syst. Signal Process., vol. 133, p. 105704, 2019, doi: 10.1016/j.ymssp.2018.09.026.
    [21] Z. Zhang, S. Member, M. Yin, Z. Chen, W. Gu, and Y. Zou, “Rotor Speed Recovery Strategy for Inertial Response Control of Wind Turbine Generators with Consideration of Turbulent Wind,” 2022, doi: 10.17775/CSEEJPES.2022.00750.
    [22] M. Z. Afzal et al., “A Resilience-Oriented Bidirectional ANFIS Framework for Networked Microgrid Management,” Processes, vol. 10, no. 12, 2022, doi: 10.3390/pr10122724.
    [23] M. Elsisi, M. M. Ismail, and A. F. Bendary, “Optimal design of battery charge management controller for hybrid system PV/wind cell with storage battery,” Int. J. Power Energy Convers., vol. 11, no. 4, p. 412, 2020, doi: 10.1504/ijpec.2020.10027810.
    [24] S. V. Karemore and E. V. Kumar, “Design of Efficient Storage Unit and EP-ANFIS Controller for On-grid and Off-grid Connected PV-WT System,” Period. Polytech. Electr. Eng. Comput. Sci., vol. 66, no. 4, pp. 336–349, 2022, doi: 10.3311/PPee.20364.
    [25] M. M. Ismail and A. F. Bendary, “Smart battery controller using ANFIS for three phase grid connected PV array system,” Math. Comput. Simul., vol. 167, pp. 104–118, 2020, doi: 10.1016/j.matcom.2018.04.008.
    [26] I. V. Kumar et al., “HYBRID ENERGY MANAGEMENT-BASED INTELLIGENT ANFIS CONTROL FOR SMART DC-MICROGRID,” Int. J. Mech. Eng., vol. 7, no. 5, pp. 1710–1724, 2022.
    [27] A. Habibi, B. Yousefi, A. N. Shirazi, and M. Rezvani, “Adaptive Neuro-Fuzzy Damping Controller of Grid-Connected Microgrid Hybrid System Integrating Wind Farms and Batteries,” IEEE Access, vol. PP, p. 1, 2023, doi: 10.1109/ACCESS.2023.3312272.
    [28] A. M. Jasim, B. H. Jasim, V. Bures, and P. Mikulecky, “A Novel Cooperative Control Technique for Hybrid AC/DC Smart Microgrid Converters,” IEEE Access, vol. 11, no. December 2022, pp. 2164–2181, 2023, doi: 10.1109/ACCESS.2023.3234011.
    [29] M. I. S. Guerra, F. M. U. de Araújo, J. T. de Carvalho Neto, and R. G. Vieira, “Survey on adaptative neural fuzzy inference system (ANFIS) architecture applied to photovoltaic systems,” Energy Syst., no. August, 2022, doi: 10.1007/s12667-022-00513-8.
    [30] C. H. Hussaian Basha and C. Rani, “Performance Analysis of MPPT Techniques for Dynamic Irradiation Condition of Solar PV,” Int. J. Fuzzy Syst., vol. 22, no. 8, pp. 2577–2598, 2020, doi: 10.1007/s40815-020-00974-y.
    [31] S. Padmanaban, N. Priyadarshi, M. S. Bhaskar, J. B. Holm-Nielsen, V. K. Ramachandaramurthy, and E. Hossain, “A Hybrid ANFIS-ABC Based MPPT Controller for PV System with Anti-Islanding Grid Protection: Experimental Realization,” IEEE Access, vol. 7, pp. 103377–103389, 2019, doi: 10.1109/ACCESS.2019.2931547.
    [32] J. Preetha Roselyn, A. Ravi, D. Devaraj, R. Venkatesan, M. Sadees, and K. Vijayakumar, “Intelligent coordinated control for improved voltage and frequency regulation with smooth switchover operation in LV microgrid,” Sustain. Energy, Grids Networks, vol. 22, p. 100356, 2020, doi: 10.1016/j.segan.2020.100356.
    [33] H. R. Baghaee, D. Mlakic, S. Nikolovski, and T. Dragicevic, “Anti-Islanding Protection of PV-Based Microgrids Consisting of PHEVs Using SVMs,” IEEE Trans. Smart Grid, vol. 11, no. 1, pp. 483–500, 2020, doi: 10.1109/TSG.2019.2924290.
    [34] H. R. Baghaee, D. Mlakic, S. Nikolovski, and T. Dragicevic, “Support Vector Machine-Based Islanding and Grid Fault Detection in Active Distribution Networks,” IEEE J. Emerg. Sel. Top. Power Electron., vol. 8, no. 3, pp. 2385–2403, 2020, doi: 10.1109/JESTPE.2019.2916621.
    [35] N. A. H. Hamed, G. N. Nyakoe, and M. J. Saulo, “A Hybrid Islanding Detection Method Based on Pearson Correlation Coefficient,” Int. J. Electr. Electron. Eng. Telecommun., vol. 11, no. 5, pp. 333–343, 2022, doi: 10.18178/ijeetc.11.5.333-343.
    [36] M. A. Islam et al., “Modeling and Performance Evaluation of ANFIS Controller-Based Bidirectional Power Management Scheme in Plug-In Electric Vehicles Integrated with Electric Grid,” IEEE Access, vol. 9, pp. 166762–166780, 2021, doi: 10.1109/ACCESS.2021.3135190.
    [37] I. Pervez, C. Antoniadis, H. Ghazzai, and Y. Massoud, “Integrated Duty Cycle Control for Multiple Renewable Energy Sources in a Grid Connected System,” IEEE Open J. Power Electron., vol. 4, no. April, pp. 367–380, 2023, doi: 10.1109/OJPEL.2023.3270663.
    [38] S. N. Setty, M. S. D. Shashikala, and K. T. Veeramanju, “Hybrid control mechanism-based DVR for mitigation of voltage sag and swell in solar PV-based IEEE 33 bus system,” Int. J. Power Electron. Drive Syst., vol. 14, no. 1, pp. 209–221, 2023, doi: 10.11591/ijpeds.v14.i1.pp209-221.
    [39] G. N. Madhu, “Grid Integration using ANFIS for Hybrid DG and Storage Units to Control and Manage Power,” Int. J. Res. Appl. Sci. Eng. Technol., vol. 9, no. 10, pp. 782–791, 2021, doi: 10.22214/ijraset.2021.38497.
    [40] J. Saroha, M. Singh, and D. K. Jain, “ANFIS-Based add-on controller for unbalance voltage compensation in a low-voltage microgrid,” IEEE Trans. Ind. Informatics, vol. 14, no. 12, pp. 5338–5345, 2018, doi: 10.1109/TII.2018.2803748.
    [41] V. T. Bui, T. T. Hoang, T. L. Duong, and D. N. Truong, “Dynamic voltage stability enhancement of a grid-connected wind power system by ANFIS controlled static var compensator,” Proc. 2019 Int. Conf. Syst. Sci. Eng. ICSSE 2019, pp. 174–177, 2019, doi: 10.1109/ICSSE.2019.8823522.
    [42] V. Yarlagadda, G. Lakshminarayana, G. Ambati, T. Nireekshana, and G. A. Karthika, “Mitigation of Ferranti Effect and Voltage Control in Transmission Systems Using Fuzzy Logic Controlled SVC,” 1st IEEE Int. Conf. Smart Technol. Syst. Next Gener. Comput. ICSTSN 2022, no. March, 2022, doi: 10.1109/ICSTSN53084.2022.9761300.
    [43] P. Cholamuthu et al., “A Grid-Connected Solar PV/Wind Turbine Based Hybrid Energy System Using ANFIS Controller for Hybrid Series Active Power Filter to Improve the Power Quality,” Int. Trans. Electr. Energy Syst., vol. 2022, 2022, doi: 10.1155/2022/9374638.
    [44] A. Satapathy, N. Nayak, and T. Parida, “Real-Time Power Quality Enhancement in a Hybrid Micro-Grid Using Nonlinear Autoregressive Neural Network,” Energies, vol. 15, no. 23, 2022, doi: 10.3390/en15239081
    [45] M. Aref, A. Y. Abdelaziz, Z. W. Geem, J. Hong, and F. K. Abo-Elyousr, “Oscillation Damping Neuro-Based Controllers Augmented Solar Energy Penetration Management of Power System Stability,” Energies, vol. 16, no. 5, 2023, doi: 10.3390/en16052391.
    [46] R. Syahputra and I. Soesanti, “ANFIS approach for distribution network reconfiguration,” Int. J. Appl. Eng. Res., vol. 12, no. 18, pp. 7775–7782, 2017.
    [47] S. M. Rostami and M. Hamzeh, “Reactive power management of PV systems by distributed cooperative control in low voltage distribution networks,” 2021 29th Iran. Conf. Electr. Eng. ICEE 2021, vol. 55, no. 1, pp. 412–417, 2021, doi: 10.1109/ICEE52715.2021.9544330.
    [48] M. Lavanya and R. Shivakumar, “Performance analysis of anfis-pso based statcom in an isolated renewable energy based micro-grid,” J. Sci. Ind. Res. (India)., vol. 81, no. 2, pp. 180–187, 2022, doi: 10.56042/jsir.v81i02.37754.
    [49] A. A. Nafeh, A. Heikal, R. A. El-Sehiemy, and W. A. A. Salem, “Intelligent fuzzy-based controllers for voltage stability enhancement of AC-DC micro-grid with D-STATCOM,” Alexandria Eng. J., vol. 61, no. 3, pp. 2260–2293, 2022, doi: 10.1016/j.aej.2021.07.012.
    [50] D. Prasad and C. Dhanamjayulu, “Solar PV integrated dynamic voltage restorer for enhancing the power quality under distorted grid conditions,” Electr. Power Syst. Res., vol. 213, 2022, doi: 10.1016/j.epsr.2022.108746.
    [51] V. P. Singh, N. Kishor, P. Samuel, and N. Singh, “Small-signal stability analysis for two-mass and three-mass shaft model of wind turbine integrated to thermal power system,” Comput. Electr. Eng., vol. 78, pp. 271–287, 2019, doi: 10.1016/j.compeleceng.2019.07.016.
    [52] M. Rahimi and M. Asadi, “Control and dynamic response analysis of full converter wind turbines with squirrel cage induction generators considering pitch control and drive train dynamics,” Int. J. Electr. Power Energy Syst., vol. 108, no. December 2018, pp. 280–292, 2019, doi: 10.1016/j.ijepes.2019.01.018.
    [53] S. Rajendran, D. Jena, M. Diaz, and J. Rodríguez, “Terminal Integral Synergetic Control for Wind Turbine at Region II Using a Two-Mass Model,” Processes, vol. 11, no. 2, pp. 1–16, 2023, doi: 10.3390/pr11020616.
    [54] M. A. Kallon, G. N. Nyakoe, and C. M. Muriithi, “Development of DSTATCOM Optimal Sizing and Location Technique Based on IA-GA for Power Loss Reduction and Voltage Profile Enhancement in an RDN,” Int. J. Electr. Electron. Res., vol. 9, no. 4, pp. 96–106, 2021, doi: 10.37391/IJEER.090402.

Ebenezer Narh Odonkor, Peter Musau Moses, Aloys Oriedi Akumu (2023), Multiple Grid-Connected Microgrids with Distributed Generators Energy Sources Voltage Control in Radial Distribution Network Using ANFIS to Enhance Energy Management. IJEER 11(4), 1188-1203. DOI: 10.37391/ijeer.110441.