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ELECTRICAL & ELECTRONIC ENGINEERING

Frequency control scheme of an AC Islanded microgrid based on modified new self-organizing hierarchical PSO with jumping time-varying acceleration coefficients

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Article: 2157982 | Received 07 Jun 2022, Accepted 08 Dec 2022, Published online: 19 Dec 2022

References

  • Abazari, A., Ghazavi Dozein, M., Monsef, H., & Wu, B. (2019). Wind turbine participation in micro-grid frequency control through self-tuning, adaptive fuzzy droop in de-loaded area. IET Smart Grid, 2(2), 301–19. https://doi.org/10.1049/iet-stg.2018.0095
  • Ahmadi-Nezamabad, H., Zand, M., Alizadeh, A., Vosoogh, M., & Nojavan, S. (2019). Multi-objective optimization based robust scheduling of electric vehicles aggregator. Sustainable Cities and Society, 47, 101494. https://doi.org/10.1016/j.scs.2019.101494
  • Aliyariyan, M., Fathi, D., Eskandari, M., & Mohammadi, M. H. (2021). Simulation and investigation of perovskite/nano-pyramidal GeSe solar cell: Realizing high efficiency by controllable light trapping. Solar Energy, 214, 310–318‏. https://doi.org/10.1016/j.solener.2020.11.063
  • Anees, A., Dillon, T., Wallis, S., & Chen, Y. P. P. (2021). Optimization of day-ahead and real-time prices for smart home community. International Journal of Electrical Power & Energy Systems, 124, 106403. https://doi.org/10.1016/j.ijepes.2020.106403
  • Baldinelli, A., Barelli, L., Bidini, G., & Discepoli, G. (2020). Economics of innovative high capacity-to-power energy storage technologies pointing at 100% renewable micro-grids. Journal of Energy Storage, 28, 101198. https://doi.org/10.1016/j.est.2020.101198
  • Fathi, D., Eskandari, M., & Fathi, D. (2021). Improving the efficiency of perovskite solar cells via embedding random plasmonic nanoparticles: Optical–electrical study on device architectures. Solar Energy, 221, 162–175. https://doi.org/10.1016/j.solener.2021.04.038
  • Gbadega, P. A., & Kumar Saha, A. (2020). Impact of incorporating disturbance prediction on the performance of energy management systems in micro-Grid. IEEE Access, 8, 162855–162879. https://doi.org/10.1109/ACCESS.2020.3021598
  • Geraee, S., Mohammadbagherpoor, H., Shafiei, M., Valizadeh, M., Montazeri, F., & Feyzi, M. R. (2018). Regenerative braking of electric vehicle using a modified direct torque control and adaptive control theory. Computers & Electrical Engineering, 69, 85–97. https://doi.org/10.1016/j.compeleceng.2018.05.022
  • Ghanooni, P., Yazdani, A. M., Mahmoudi, A., MahmoudZadeh, S., Ahmadi Movahed, M., & Fathi, M. (2020). Robust precise trajectory tracking of hybrid stepper motor using adaptive critic-based neuro-fuzzy controller. Computers & Electrical Engineering, 81, 106535. https://doi.org/10.1016/j.compeleceng.2019.106535
  • Ghasemi, M. et al. (2020). An efficient modified HPSO-TVAC-based dynamic economic dispatch of generating units. Electric Power Components and Systems, https://doi.org/10.1080/15325008.2020.1731876
  • Hardan, F., Norman, R., & Leithead, W. (2020). Model-based control of a VSC-based power generator with synthetic inertia provision in an isolated micro-grid. IET Generation, Transmission & Distribution, 14(22), 5037–5046. https://doi.org/10.1049/iet-gtd.2020.0304
  • Hayati, Z. Z.M., & Karimi, G., “Short-channel effects improvement of carbon nanotube field effect transistors,” 2020 28th Iranian Conference on Electrical Engineering (ICEE), Tabriz, Iran, 2020, pp. 1–6, https://doi.org/10.1109/ICEE50131.2020.9260850.
  • Jafari, M. et al. “Novel predictive fuzzy logic-based energy management system for grid-connected and off-grid operation of residential smart micro-grids.” IEEE Journal of Emerging and Selected Topics in Power Electronics (2018).
  • Jinglin, L. et al. “Adaptive dynamic programming approach for micro-grid optimal energy transmission scheduling.” 2020 39th Chinese Control Conference (CCC). IEEE, 2020.
  • Kayalvizhi, S., & Vinod Kumar, D. M. (2017). Load frequency control of an isolated micro grid using fuzzy adaptive model predictive control. IEEE Access, 5, 16241–16251. https://doi.org/10.1109/ACCESS.2017.2735545
  • Khan, B., Haes Alhelou, H., & Mebrahtu, F. (2019). A holistic analysis of distribution system reliability assessment methods with conventional and renewable energy sources. AIMS Energy, 7(4), 413–429. https://doi.org/10.3934/energy.2019.4.413
  • Lilia, T., Nasab, M. A., Yang, H., & Addeh, A. (2020). l, An intelligent system based on optimized ANFIS and association rules for power transformer fault diagnosis. ISA Transactions, 103, 63–74. https://doi.org/10.1016/j.isatra.2020.03.022
  • Mir, M., Dayyani, M., Sutikno, T., Mohammadi Zanjireh, M., & Razmjooy, N. (2020). Employing a Gaussian Particle Swarm Optimization method for tuning Multi Input Multi Output‐fuzzy system as an integrated controller of a micro‐grid with stability analysis. Computational Intelligence, 36(1), 225–258. https://doi.org/10.1111/coin.12257
  • Mohammadi, M. H., Fathi, D., & Eskandari, M. (2020). Nio@ gese core-shell nano-rod array as a new hole transfer layer in perovskite solar cells: A numerical study. Solar Energy, 204, 200–207. https://doi.org/10.1016/j.solener.2020.04.038
  • Mohammadi, M. H., Fathi, D., & Eskandari, M. (2021). Light trapping in perovskite solar cells with plasmonic core/shell nanorod array: A numerical study. Energy Reports, 7, 1404–1415‏. https://doi.org/10.1016/j.egyr.2021.02.071
  • Nasri, S. et al, 2021. Maximum power point tracking of photovoltaic renewable energy system using a new method based on turbulent flow of water-based optimization (TFWO) Under Partial Shading Conditions. 978-981-336-456-1
  • Rohani, A. et al (2020). Three-phase amplitude adaptive notch filter control design of DSTATCOM under unbalanced/distorted utility voltage conditions. Journal of Intelligent & Fuzzy Systems, 10.3233/JIFS–201667.
  • Sahoo, B. P., & Panda, S. (2018). Improved grey wolf optimization technique for fuzzy aided PID controller design for power system frequency control. Sustainable Energy, Grids and Networks, 16, 278–299. https://doi.org/10.1016/j.segan.2018.09.006
  • Sahu, P. C. et al. (2020). Novel DQN optimised tilt fuzzy cascade controller for frequency stability of a tidal energy-based AC microgrid. International Journal of Ambient Energy, 1–13.
  • Sahu, P. C., Chandra Prusty, R., & Panda, S. (2021a). Improved-GWO designed FO based type-II fuzzy controller for frequency awareness of an AC microgrid under plug in electric vehicle. Journal of Ambient Intelligence and Humanized Computing, 12(2), 1879–1896. https://doi.org/10.1007/s12652-020-02260-z
  • Sahu, P. C., Chandra Prusty, R., & Panda, S. (2021b). Active power management in wind/solar farm integrated hybrid power system with AI based 3DOF-FOPID approach. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 1–21.
  • Sahu, P. C., Chandra Prusty, R., & Panda, S. (2022a). Frequency regulation of an electric vehicle-operated micro-grid under WOA-tuned fuzzy cascade controller. International Journal of Ambient Energy, 43(1), 2900–2911. https://doi.org/10.1080/01430750.2020.1783358
  • Sahu, P. C., Chandra Prusty, R., & Panda, S. (2022b). Optimal design of a robust FO-Multistage controller for the frequency awareness of an islanded AC microgrid under i-SCA algorithm. International Journal of Ambient Energy, 43(1), 2681–2693. https://doi.org/10.1080/01430750.2020.1758783
  • Sahu, P. C., Mishra, S., Prusty, R. C., & Panda, S. (2018). Improved-salp swarm optimized type-II fuzzy controller in load frequency control of multi area islanded AC microgrid. Sustainable Energy, Grids and Networks, 16, 380–392. https://doi.org/10.1016/j.segan.2018.10.003
  • Sánchez, D., Melin, P., & Castillo, O. (2020). Comparison of particle swarm optimization variants with fuzzy dynamic parameter adaptation for modular granular neural networks for human recognition. Journal of Intelligence Fuzzy System, 38(3), 3229–3252. https://doi.org/10.3233/JIFS-191198
  • Sanjeevikumar, P., Zand, M., Nasab, M. A., Hanif, M. A., & Bhaskar, M. S., “Spider community optimization algorithm to determine upfc optimal size and location for improve dynamic stability,” 2021 IEEE 12th Energy Conversion Congress & Exposition - Asia (ECCE-Asia), 2021, pp. 2318–2323, https://doi.org/10.1109/ECCE-Asia49820.2021.9479149
  • Shaqour, A., Farzaneh, H., Yoshida, Y., & Hinokuma, T. (2020). Power control and simulation of a building integrated stand-alone hybrid PV-wind-battery system in Kasuga City, Japan. Energy Reports, 6, 1528–1544. https://doi.org/10.1016/j.egyr.2020.06.003
  • Shayeghi, H., & Younesi, A. (2019). Mini/Micro-Grid Adaptive Voltage and Frequency Stability Enhancement. Journal of Operation and Automation in Power Engineering, 7(1), 107.
  • Solhtalab, N., Mohammadi, M. H., Eskandari, M., & Fathi, D. (2022). Efficiency improvement of half-tandem CIGS/perovskite solar cell by designing nano-prism nanostructure as the controllable light trapping. Energy Reports, 8, 1298–1308. https://doi.org/10.1016/j.egyr.2021.12.038
  • Velamuri, S., Pachauri, N., & Vigneysh, T. (2020). Decentralized control strategy for fuel cell/PV/BESS based microgrid using modified fractional order PI controller. International Journal of Hydrogen Energy.
  • Xiang, Q., Liao, Z., & Tinghui, L. (2021). A novel control strategy of the seamless transitions between grid-connected and islanding operation modes for the multiple complementary power microgrid. International Journal of Electronics, 108(8), 1381–1400. https://doi.org/10.1080/00207217.2020.1870726
  • Yang, H., Zhu, Z., Li, C., & Li, R. (2020). A novel combined forecasting system for air pollutants concentration based on fuzzy theory and optimization of aggregation weight. Applied Soft Computing, 87, 105972. https://doi.org/10.1016/j.asoc.2019.105972
  • Zahra, Z., Saba, K., & Hayati, M. (2022, December). Design of GaAs-thin film solar cell using TiO2 hemispherical nanoparticles array. Optics & Laser Technology, 156, 108608. https://doi.org/10.1016/j.optlastec.2022.108608
  • Zand, M., Azimi Nasab, M., Khoobani, M., Jahangiri, A., Hossein Hosseinian, S., & Hossein Kimiai, A. (2021). Robust speed control for induction motor drives using STSM control. In 2021 12th Power Electronics, Drive Systems, and Technologies Conference (PEDSTC) (pp. 1-6). (IEEE). https://doi.org/10.1109/PEDSTC52094.2021.9405912
  • Zand, M., Nasab, M. A., Hatami, A., Kargar, M., & Chamorro, H. R., 2020 “Using Adaptive Fuzzy Logic for Intelligent Energy Management in Hybrid Vehicles,” 2020 28th ICEE, pp. 1–7, https://doi.org/10.1109/ICEE50131.2020.9260941.IEEE Index
  • Zand, M., Nasab, M. A., Neghabi, O., Khalili, M., & Goli, A. (2019). “Fault locating transmission lines with thyristor-controlled series capacitors By fuzzy logic method,” In 2020 14th International Conference on Protection and Automation of Power Systems (IPAPS), Tehran, Iran, 2019, pp. 62–70. IEEE. https://doi.org/10.1109/IPAPS49326.2019.9069389
  • Zand, M., Nasab, M. A., Sanjeevikumar, P., Maroti, P. K., & Holm-Nielsen, J. B. (2020). Energy management strategy for solid‐state transformer‐based solar charging station for electric vehicles in smart grids. IET renewable power generation, 14(18), 3843–3852. https://doi.org/10.1049/iet-rpg.2020.0399
  • Zand, M., Neghabi, O., Nasab, M.A., Eskandari, M., & Abedini, M. (2020, December). A hybrid scheme for fault locating in transmission lines compensated by the TCSC. In 2020 15th International Conference on Protection and Automation of Power Systems (IPAPS), (pp. 130–135). IEEE. https://doi.org/10.1109/IPAPS52181.2020.9375626