Isolated and Grid-Connected Hybrid Microgrid Model Frequency Stabilization by Novel Salp-Swarm Optimization Algorithm
| International Journal of Electrical and Electronics Engineering |
| © 2023 by SSRG - IJEEE Journal |
| Volume 10 Issue 6 |
| Year of Publication : 2023 |
| Authors : V. Devaraj, M. Kumaresan |
10.14445/23488379/IJEEE-V10I6P107
How to Cite?
V. Devaraj, M. Kumaresan, "Isolated and Grid-Connected Hybrid Microgrid Model Frequency Stabilization by Novel Salp-Swarm Optimization Algorithm," SSRG International Journal of Electrical and Electronics Engineering, vol. 10, no. 6, pp. 58-69, 2023. Crossref, https://doi.org/10.14445/23488379/IJEEE-V10I6P107
Abstract:
In the case of hybrid power generation systems, frequency deviation is a serious concern. Load frequency control of a Fuel cell, solar and wind-based hybrid power generation system is interconnected with a microgrid. Proportional-Integral-Derivative (PID), Fuzzy Tuned - PID (FT-PID), and PID controllers are utilized (one at a time) to manage the governor of the SPG and pitch of the WTG to improve frequency stabilization of the system. Moreover, Salp-Swarm Optimization Algorithm (SSOA) is used to estimate optimal gains of the Conventional Proportional Integral and Derivative (PID) and fuzzy tuned based PID controllers. The dynamic system performance is considered by contrasting the outcomes with SSOA-optimized classical PID controllers and Fuzzy tuned PID controllers. The suggested SSOA with the Fuzzy tuned based PID controllers can maintain frequency within the acceptance range of the hybrid generating system under various perturbations and system instabilities, according to MATLAB/SIMULINK simulation study. Plotted and evaluated are the system's transient responses to the load disturbance that fluctuates stepwise and randomly caused by fuel cell, solar, and wind perturbation. This research demonstrates that the proposed fuzzy tuned-PID (FT-PID) controller outperforms this application's competition.
Keywords:
Load Frequency Control (LFC), PID controller, Fuzzy Tuned PID controller (FT-PID), Salp Swarm Optimization Algorithm (SSOA).
References:
[1] M. W. Siti et al., “Application of Load Frequency Control Method to a Multi-Microgrid with Energy Storage System,” Journal of Energy Storage, vol. 52, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[2] Luis M. Castro, “Simulation Framework for Automatic Load Frequency Control Studies of VSC-Based AC/DC Power Grids,” International Journal of Electrical Power and Energy Systems, vol. 141, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[3] Abhishek Saxena, and Ravi Shankar, “Improved Load Frequency Control Considering Dynamic Demand Regulated Power System Integrating Renewable Sources and Hybrid Energy Storage System,” Sustainable Energy Technologies and Assessments, vol. 52, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[4] Jizhen Liu, Qi Yao, and Yang Hu, “Model Predictive Control for Load Frequency of Hybrid Power System with Wind Power and Thermal Power,” Energy, vol. 172, pp. 555-565, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[5] Xichao Zhou et al., “Actuator Fault-Tolerant Load Frequency Control for Interconnected Power Systems with Hybrid Energy Storage System,” Energy Reports, vol. 6, no. 9, pp. 1312-1317, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[6] Asma Aziz, Aman Than Oo, and Alex Stojcevski, “Analysis of Frequency Sensitive Wind Plant Penetration Effect on Load Frequency Control of Hybrid Power System,” International Journal of Electrical Power and Energy Systems, vol. 99, pp. 603-617, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[7] Pan S. Das, “Fractional Order Fuzzy Control of Hybrid Power System with Renewable Generation using Chaotic PSO,” ISA Transactions, vol. 62, pp. 19-29, 2016.
[CrossRef] [Google Scholar] [Publisher Link]
[8] Rabindra Kumar Sahu et al., “Teaching Learning Based Optimization Algorithm for Automatic Generation Control of Power System using 2- DOF PID Controller,” International Journal of Electrical Power and Energy Systems, vol. 77, pp. 287-301, 2016.
[CrossRef] [Google Scholar] [Publisher Link]
[9] S. Ganguly, T. Mahto, and V. Mukherjee, “Integrated Frequency and Power Control of an Isolated Hybrid Power System Considering Scaling Factor Based Fuzzy Controller,” Swarm and Evolutionary Computation, vol. 32, pp. 184-201, 2017.
[CrossRef] [Google Scholar] [Publisher Link]
[10] Saroj Kumar Mishra, and Subhranshu Sekhar Pati, “Load Frequency Control of Multi-source System by Jaya Optimized Fractional Order PID Controller,” 2020 7th International Conference on Smart Structures and Systems (ICSSS), India, pp. 1-5, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[11] Sandro Sitompul, and Goro Fujita, “Implementation of BESS Load Frequency Control in Islanded Microgrid System by Considering SOC,” In 2020 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), pp. 980-984, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[12] Chunyu Chen et al., “Tie-Line Bias Control Applicability to Load Frequency Control for Multi-Area Interconnected Power Systems of Complex Topology,” Energies, vol. 10, no. 1, pp. 1-15, 2017.
[CrossRef] [Google Scholar] [Publisher Link]
[13] Xiao Zhaoxia et al., “Flat Tie-Line Power Scheduling Control of Grid-Connected Hybrid Microgrids,” Applied Energy, vol. 210, pp. 786-799, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[14] Diambomba Hyacinthe Tungadio, and Yanxia Sun, “Load Frequency Controllers Considering Renewable Energy Integration in Power System,” Energy Reports, vol. 5, pp. 436-453, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[15] R. Ahshan et al., “Micro-Grid System Based on Renewable Power Generation Units,” Canadian Conference on Electrical and Computer Engineering, Canada, pp. 1-4, 2010.
[CrossRef] [Google Scholar] [Publisher Link]
[16] K. M. G. Y. Sewwandi et al., “Wind Turbine Emulator for a Microgrid,” 2017 Innovations in Power and Advanced Computing Technologies (i-PACT), India, pp. 1-6, 2017.
[CrossRef] [Google Scholar] [Publisher Link]
[17] Amandeep Singh, and Sathans Suhag, “Frequency Regulation in an AC Microgrid Interconnected with Thermal System Employing Multiverse-Optimised Fractional Order-PID Controller,” International Journal of Sustainable Energy, vol. 39, no. 3, pp. 250-262, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[18] F. Dubuisson et al., “Global Maximum Power Point Tracking Strategy Based on BFO Method for Standalone PV System under Partial Shading Conditions,” IECON 2021-47th Annual Conference of the IEEE Industrial Electronics Society, Toronto, Canada, pp. 1-5, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[19] F. Dubuisson et al., “A Bacterial Foraging Optimization Technique and Predictive Control Approach for Power Management in a Standalone Microgrid,” 2020 IEEE Electric Power and Energy Conference (EPEC), Canada, pp. 1-7, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[20] Kallol Roy et al., “Analysis of Energy Management in Micro Grid-A Hybrid BFOA and ANN Approach,” Renewable and Sustainable Energy Reviews, vol. 82, no. 3, pp. 4296-4308, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[21] V. Devaraj, and M. Kumaresan, “An Elite LOA-TFWO Approach for Load-Frequency Control of Islanded Micro-Grids Incorporating Renewable Sources,” International Journal of Engineering Trends and Technology, vol. 70, no. 10, pp. 166-187, 2022.
[CrossRef] [Publisher Link]
[22] Seyedali Mirjalili et al., “Salp Swarm Algorithm: A Bio-Inspired Optimizer for Engineering Design Problems,” Advances in Engineering Software, vol. 114, pp. 163-191, 2017.
[CrossRef] [Google Scholar] [Publisher Link]
[23] Farhad Zishan et al., “Allocation of Renewable Energy Resources in Distribution Systems while Considering the Uncertainty of Wind and Solar Resources via the Multi-Objective Salp Swarm Algorithm,” Energies, vol. 16, no. 1, pp. 1-17, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[24] Amitkumar Manekar, “Combined Dragonfly and Whale Optimization Algorithm for Cost and Energy Optimization in Resource Allocation and Migration,” International Journal of Recent Engineering Science, vol. 10, no. 3, pp. 17-22, 2023.
[CrossRef] [Publisher Link]
[25] Ibrahim Altawil et al., “Optimization of Fractional Order PI Controller to Regulate Grid Voltage Connected Photovoltaic System Based on Slap Swarm Algorithm,” International Journal of Power Electronics and Drive Systems (IJPEDS), vol. 14, no. 2, pp. 1184-1200, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[26] Vinothkumar C, and Esakkiappan C, “Optimization of PI Controller on Level Control of Hopper Tank System with PSO Technique,” International Journal of Engineering Trends and Technology, vol. 69, no. 10, pp. 178-185, 2021.
[CrossRef] [Publisher Link]
[27] Debidasi Mohanty, and Sidhartha Panda, “Multi‐Objective Salp Swarm Algorithm‐Based Fractional Order Fuzzy Precompensated PDPI Controller for Frequency Regulation of Hybrid Power System,” International Journal of Numerical Modelling: Electronic Networks, Devices and Fields, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[28] R. Karthik Kumar, “Fuzzy Tuned PI Controller for Shunt Active Power Filter,” International Journal of Recent Engineering Science, vol. 7, no. 6, pp. 23-30, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[29] Zvikomborero Hweju, and Varaidzo Sostina Dandira, “Predicting the Capacitance of Parallel Plate Capacitors using Adaptive Neuro-Fuzzy Inference System (ANFIS),” International Journal of Recent Engineering Science, vol. 7, no. 5, pp. 26-28, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[30] Mandeep Sharma, Surya Prakash, and Sahaj Saxena, “Robust Load Frequency Control using Fractional-Order TID-PD Approach via Salp Swarm Algorithm,” IETE Journal of Research, pp. 1-17, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[31] Prakash Chandra Sahu et al., “Improved-Salp Swarm Optimized Type-II Fuzzy Controller in Load Frequency Control of Multi Area Islanded AC Microgrid,” Sustainable Energy, Grids and Networks, vol. 16, pp. 380-392, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[32] G. Dinesh, “A Modified Self Tuning Fuzzy Logic Controller for Brushless Direct Current Motor,” International Journal of Recent Engineering Science (IJRES), vol. 1, no. 1, pp. 22-27, 2014.
[Publisher Link]
[33] Idriss Dagal, Akın Burak, and Erdem Akboy, “MPPT Mechanism Based on Novel Hybrid Particle Swarm Optimization and Salp Swarm Optimization Algorithm for Battery Charging through Simulink,” Scientific Reports, vol. 12, no. 1, pp. 1-17, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[34] Ismail Akbar Khan et al., “Salp Swarm Optimization Algorithm-Based Fractional Order PID Controller for Dynamic Response and Stability Enhancement of an Automatic Voltage Regulator System,” Electronics, vol. 8, no. 12, pp. 1-17, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[35] Nitesh M Sureja, and Sanjay P. Patel, “An Improved Particle Swarm Optimization Algorithm for A Variant of TSP,” SSRG International Journal of Computer Science and Engineering, vol. 7, no. 5, pp. 16-20, 2020.
[CrossRef] [Publisher Link]
[36] Touqeer Ahmed Jumani et al., “Salp Swarm Optimization Algorithm-Based Controller for Dynamic Response and Power Quality Enhancement of an Islanded Microgrid,” Processes, vol. 7, no. 11, pp. 1-19, 2019.
[CrossRef] [Google Scholar] [Publisher Link]