Evaluate Power Sharing Coordination Performance of Grid-Connected Microgrids Operation in Radial Distribution System using ANFIS Controller

Evaluate Power Sharing Coordination Performance of Grid-Connected Microgrids Operation in Radial Distribution System using ANFIS Controller

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© 2023 by IJETT Journal
Volume-71 Issue-12
Year of Publication : 2023
Author : Ebenezer Narh Odonkor, Peter Musau Moses, Aloys Oriedi Akumu
DOI : 10.14445/22315381/IJETT-V71I12P213

How to Cite?

Ebenezer Narh Odonkor, Peter Musau Moses, Aloys Oriedi Akumu, "Evaluate Power Sharing Coordination Performance of Grid-Connected Microgrids Operation in Radial Distribution System using ANFIS Controller," International Journal of Engineering Trends and Technology, vol. 71, no. 12, pp. 119-132, 2023. Crossref, https://doi.org/10.14445/22315381/IJETT-V71I12P213

Abstract
Power management techniques for coordinating several microgrids with Renewable Energy Resources (RERs) are one of the most important operational factors in ensuring optimal power supply. In this study, power management in grid-connected Microgrids using an Adaptive Neuro Fuzzy Inference System (ANFIS) control technique has been examined. An ANFIS-based power dispatch is presented with four (4) microgrids integrated into a 34-bus distribution network, and each Microgrid consists of a wind turbine coupled with two mass drive trains coupling Permanent Magnet Synchronous Machine (PMSM) generator, a solar Photovoltaic (PV) panel, and a battery energy storage system (BESS). The proposed study aimed at evaluating the performance of coordination multiple grid-connected microgrids operation based on power sharing in a 34- bus radial distribution network. Maximum Power Point Tracking (MPPT) is used to harvest available PV model power. Available grid power and load demand were used as input data for training ANFIS. The proposed concept is implemented in MATLAB/SIMULINK. The system evaluation performance is taken in terms of optimal power dispatch between multiple Microgrids; the system is capable of storing excess power from one Microgrind with low storage capacity into another Microgrid with enough storage capacity. The effectiveness of the power dispatch in a 34-bus radial distribution network under grid-connected and Islanded mode of Microgrids using ANFIS controller has been successful for optimal power dispatch.

Keywords
ANFIS controller, Optimal power dispatch, Coordination, Radial distribution network, Renewable energy resources.

References
[1] Mlungisi Ntombela, Kabeya Musasa, and Moketjema Clarence Leoaneka, “Power Loss Minimization and Voltage Profile Improvement by System Reconfiguration, DG Sizing, and Placement,” Computation, vol. 10, no. 10, pp. 1-24, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[2] N. Sridhar, and M. Kowsalya, “Enhancement of Power Management in Micro Grid System using Adaptive ALO Technique,” Journal of Ambient Intelligence and Humanized Computing, vol. 12, no. 2, pp. 2163–2182, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[3] Mahmoud Zadehbagheri et al., “Adaptive Droop Control Strategy for Load Sharing in Hybrid Micro Grids,” International Journal of Robotics and Control Systems, vol. 3, no. 1, pp. 74–83, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[4] Xiaowen Xing, Lili Xie, and Hongmin Meng, “Cooperative Energy Management Optimization based on Distributed MPC in GridConnected Microgrids Community,” International Journal of Electrical Power & Energy Systems, vol. 107, pp. 186–199, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[5] Arslan Ahmad Bashir et al., “A Novel Energy Scheduling Framework for Reliable and Economic Operation of Islanded and GridConnected Microgrids,” Electric Power Systems Research, vol. 171, pp. 85-96, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[6] Pan Wu et al., “A Multi-Layer Coordinated Control Scheme to Improve the Operation Friendliness of Grid-Connected Multiple Microgrids,” Energies, vol. 12, no. 2, pp. 1-21, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[7] Karthikumar Kuppusamy et al., “An SOA-RBFNN Approach for the System Modelling of Optimal Energy Management in GridConnected Smart Grid System,” Artificial Intelligence Review, vol. 56, pp. 4171-4196, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[8] G.N. Madhu, and Deepa B. Bijjur, “Grid Integration using ANFIS for Hybrid DG and Storage Units to Control and Manage Power,” International Journal for Research in Applied Science & Engineering Technology, vol. 9, no. 10, pp. 782–791, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[9] T. Narasimha 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.
[CrossRef] [Google Scholar] [Publisher Link]
[10] Rupam Bhaduri, G. Rahul Saravana, and C. Vaskar, “Supervisory Controller for Power Management of Microgrid Using Hybrid Technique,” Transactions on Electrical and Electronic Materials, vol. 21, no. 1, pp. 30–47, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[11] Mohamed Khaleel et al., “Enhancing Microgrid Performance through Hybrid Energy Storage System Integration : ANFIS and GA Approaches,” International Journal of Electrical Engineering and Sustainability, vol. 1, no. 2, pp. 38–48, 2023.
[Google Scholar] [Publisher Link]
[12] R. Pavan Kumar Naidu, and S. Meikandasivam, “Power Quality Enhancement in a Grid-Connected Hybrid System with Coordinated PQ Theory & Fractional Order PID Controller in DPFC,” Sustainable Energy, Grids and Networks, vol. 21, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[13] B. Srikanth Goud et al., “Power Quality Improvement using Distributed Power Flow Controller with Bwo-Based Fopid Controller,” Sustainability, vol. 13, no. 20, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[14] Saeed Mahdavian Rostami, and Mohsen Hamzeh, “Reactive Power Management of PV Systems by Distributed Cooperative Control in Low Voltage Distribution Networks,” 29th Iranian Conference on Electrical Engineering, pp. 412–417, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[15] Pramod Bhat Nempu, and N.S. Jayalakshmi, “Coordinated Power Management of the Subgrids in a Hybrid AC–DC Microgrid with Multiple Renewable Sources,” IETE Journal of Research, vol. 68, no. 4, pp. 2790–2800, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[16] B. Liang et al., “Coordination Control of Hybrid AC/DC Microgrid,” The Journal of Engineering, vol. 2019, no. 16, pp. 3264–3269, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[17] Siddaraj Siddaraj et al., “Coordinated PSO-ANFIS-Based 2 MPPT Control of Microgrid with Solar Photovoltaic and Battery Energy Storage System,” Journal of Sensor and Actuator Networks, vol. 12, no. 3, pp. 1-20, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[18] Augusto M.S. Alonso et al., “Current-Based Coordination of Distributed Energy Resources in a Grid-Connected Low-Voltage Microgrid: An Experimental Validation of Adverse Operational Scenarios,” Energies, vol. 15, no. 17, pp. 1-26, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[19] J. Preetha Roselyn et al., “Intelligent Coordinated Control for Improved Voltage and Frequency Regulation with Smooth Switchover Operation in LV Microgrid,” Sustainable Energy, Grids and Networks, vol. 22, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[20] Kallol Roy, Kamal Krishna Mandal, and Atis Chandra Mandal, “Smart Energy Management for Optimal Economic Operation in GridConnected Hybrid Power System,” Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[21] Kallol Roy, Kamal Krishna Mandal, and Atis Chandra Mandal, “Energy Management System of Microgrids in Grid-Tied Mode: A Hybrid Approach,” Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[22] Thi Minh Chau Le et al., “Optimal Power Flow Solutions to Power Systems with Wind Energy using a Highly Effective Meta-Heuristic Algorithm,” International Journal of Renewable Energy Development, vol. 12, no. 3, pp. 467–477, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[23] Bilal Naji Alhasnawi, and Basil H. Jasim, “A New Coordinated Control of Hybrid Microgrids with Renewable Energy Resources Under Variable Loads and Generation Conditions,” Iraqi Journal for Electrical and Electronic Engineering, vol. 16, no. 2, pp. 1–20, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[24] Srinivas Singirikonda, and Y.P. Obulesu, “A Novel Approach using Adaptive Neuro Fuzzy Based Droop Control Standalone Microgrid in Presences of Multiple Sources,” International Journal of Renewable Energy Development, vol. 9, no. 1, pp. 43–51, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[25] Ila Rai et al., “Nonlinear Adaptive Controller Design to Stabilize Constant Power Loads connected-DC Microgrid using Disturbance Accommodation Technique,” Electrical Engineering, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[26] P. Naga Lakshmi, R. Ashok Kumar, and K. Hari Krishna, “ANFIS-GA Based Hybrid Control Method for Enhancement of DC Micro Grids Using Electric Spring,” Mathematical Statistician and Engineering Applications, vol. 71, no. 4, pp. 4794–4813, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[27] Linus A. Alo et al., “Modeling and Control of a Photovoltaic-Wind Hybrid Microgrid System using GA-ANFIS,” Heliyon, vol. 9, no. 4, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[28] Vallem V.V.S.N. Murty, and Ashwani Kumar, “Optimal Energy Management and Techno-Economic Analysis in Microgrid with Hybrid Renewable Energy Sources,” Journal of Modern Power Systems and Clean Energy, vol. 8, no. 5, pp. 929–940, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[29] S.N.V. Bramareswara Rao et al., “An Adaptive Neuro-Fuzzy Control Strategy for Improved Power Quality in Multi-Microgrid Clusters,” IEEE Access, vol. 10, pp. 128007–128021, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[30] Mohammad Amir et al., “Intelligent Energy Management Scheme-Based Coordinated Control For Reducing Peak Load In Grid-Connected Photovoltaic-Powered Electric Vehicle Charging Stations,” IET Generation, Transmission and Distribution, pp. 1–18, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[31] Sandesh Paudel et al., “Performance Analysis of Adaptive Neuro Fuzzy System to Control Power Flow in Islanded Microgrid,” Journal of Engineering and Sciences, vol. 1, 2022.
[Google Scholar] [Publisher Link]
[32] Mohamed M. Ismail, and Ahmed F. Bendary, “Smart Battery Controller using ANFIS for Three Phase Grid Connected PV Array System,” Mathematics and Computers in Simulation, vol. 167, pp. 104–118, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[33] A. Maruf Aminu, “A Multivariable Fuzzy Rule-Based Relay for Short Circuits in AC Micro-Grids,” Indian Journal of Science and Technology, vol. 11, no. 23, pp. 1–13, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[34] Hesham M. Fekry et al., “Power Management Strategy Based on Adaptive Neuro Fuzzy Inference System for AC Microgrid,” IEEE Access, vol. 8, pp. 192087–192100, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[35] Zeeshan Ahmad Arfeen et al., “Control of Distributed Generation Systems for Microgrid Applications: A Technological Review,” International Transactions on Electrical Energy System, vol. 29, no. 9, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[36] Shalaka Chaphekar, and Anjali Dharme, “Impact of Microgrid Operation on Performance of Radial Distribution System,” Sadhana, vol. 44, no. 10, 2019.
[CrossRef] [Google Scholar] [Publisher Link]