142
Views
3
CrossRef citations to date
0
Altmetric
Articles

Efficient Power Flow Management in Hybrid Renewable Energy Systems

, &

References

  • T. Wu, F. Ye, Y. Su, Y. Wang, and S. Riffat, “Coordinated control strategy of DC microgrid with hybrid energy storage system to smoothpower output fluctuation,” Int. J. Low-Carbon Technol., Vol. 15, pp. 46–54, 2020.
  • L. Xu and D. Chen, “Control and operation of a DC microgrid with variable generation and energy storage,” IEEE Trans. Power Deliver., Vol. 26, no. 4, pp. 2513–2522, 2011.
  • S-J. Ahn, J-W. Park, I-Y. Chung, S-I. Moon, S-H. Kang, and S-R. Nam, “Power-Sharing method of multiple distributed generators considering control modes and configurations of a microgrid,” IEEE Trans. Power Deliver., Vol. 25, no. 3, 2007–2016, 2010.
  • L. Xiangjun, H. Dong, and L. Xiaokang, “Battery energy storage station (BESS)-based smoothing control of photovoltaic (PV) and wind power generation fluctuations,” IEEE Trans. Sustain. Energy, Vol. 4, no. 2, pp. 464–473, 2013.
  • Y. E. Garca Vera, R. Dufo-Lpez, and J. L. Bernal-Agustn, “Energy management in microgrids with renewable energy sources: A literature review,” Appl. Sci., Vol. 9, pp. 1–28, 2019.
  • W. Al-Saedi, S. W. Lachowicz, D. Habibi, and O. Bass, “Power flow control in grid connected microgrid operation using particle swarm optimisation under variable load conditions,” Int. J. Power Energy Syst., Vol. 49, pp. 76–85, 2013.
  • A. Merabet, K. Ahmed, and H. Ibrahim, “Energy management and control system for laboratory scale microgrid based wind-PV-Battery,” IEEE Trans. Sustain. Energy, Vol. 8, no. 1, pp. 145–154, Jan. 2017.
  • A. M. Mansour, K. N. Faris, and E. El-Din, “Smart energy management controller for a microgrid,” Int. J. Eng. Res., Vol. 4, no. 8, pp. 456–464, August 2015.
  • G. Mallesham, S. Mishra, and A. Jha, “Ziegler-Nichols based controller parameters tuning for load frequency control in a microgrid,” in International Conference on Energy, Automation, and Signal (ICEAS), Bhubaneswar, India, 28–30, December 2011, pp. 1–8.
  • A. R. Jordehi, “Time varying acceleration coefficients particle swarm optimisation (TVACPSO): A new optimisation algorithm for estimating parameters of PV cells and modules,” Energy Convers. Manag., Vol. 129, pp. 262–274, 2016.
  • A. J. Touqeer, M. Mohd Wazir, Md.R. Madihah, H. M. Nayyar, and H. B. Mazhar, “SaniS: Optimal power flow controller for grid-Connected microgrids using grasshopper optimisation algorithm,” Electronics, Vol. 8, pp. 111, 2019.
  • M. Li, W. Du, and F. Nian, “An adaptive particle swarm optimization algorithm based on directed weighted complex network,” Math. Probl. Eng., Vol. 2014, pp. 1–7, 2014.
  • A. F. Bendary and M. M. Ismail, “Battery charge management for hybrid PV/Wind/Fuel cell with storage battery,” Special Issue on Emerging and Renewable Energy: Generation and Automation, Vol. 162, pp. 107–116, 2019.
  • B. Tandon and R. Kaur, “Genetic algorithm based parameter tuning of PID controller for composition control system,” Int. J. Eng. Sci. Technol., Vol. 3, pp. 6705–6711, 2011.
  • Y-T. Hsiao, C-L. Chuang, and C-C. Chien, “Ant colony optimization for designing of PID controllers”, in IEEE International Symposium on Computer Aided Control Systems Design, 2004, pp. 321–326.
  • O. Bendjeghaba, S. Ishak Boushaki, and N. Zemmour, “Firefly algorithm for optimal tuning of PID controller parameters”, in International Conference on Power Engineering, Energy and Electrical Drives, 2013.
  • M. Abachizadeh, M. Reza Haeri Yazdi, and A. Yousefi-Koma, Optimal Tuning of PID Controllers Using Artificial Bee Colony Algorithm, in IEEE/ASME International Conference onAdvanced Intelligent Mechatronics, 2010, pp. 379–384.
  • Z. Chen, A. Luo, H. Wang, Y. Chen, M. Li, and Y. Huang, “Adaptive sliding-mode voltage control for inverter operating in islanded mode in micro grid,” Int. J. Electrical Power Energy Syst., Vol. 66, pp. 133–143, 2015.
  • Z. Qingrong and C. Liuchen, “An advanced SVPWM-based predictive current controller for three-phase inverters in distributed generation systems,” IEEE Trans. Indust. Electronics, Vol. 55, no. 3, pp.1235–1246, 2008.
  • S. Ahmad and F. M. Albatsh, “Fuzzy based controller for dynamic unified power flow controller to enhance power transfer capability,” Energy Conversion Manag., Vol. 79, pp. 652–665, 2014.
  • S. Das and A. K. Akella, “Power flow control of PV-Wind-Battery hybrid renewable energy systems for stand alone application,” Int. J. Renewable Energy Res., Vol. 8, no. 1. March 2018.
  • M. K Senapati, C. Pradhan, S. R. Samantaray, and P. K. Nayak, “Improved power management control strategy for renewable energy-based DC micro-grid with energy storage integration,” IET Gener. Transm. Distrib.. Vol. 13, pp. 838–849, 2018.
  • K. Sureshkumar and V. Ponnusamy, “Hybrid renewable energy systems for power flow management in smart grid using an efficient hybrid technique,” Trans. Inst. Meas. Control, Vol. 42, pp. 1–20, 2020.
  • T. P. Kumar, N. Subrahmanyam, and M. Sydulu, “CMBSNN for power flow management of the hybrid renewable energy storage system-based distribution generation,” IETE Tech. Rev., Vol. 0, pp. 1–12, 2018.
  • C. Subba Rami Reddy and K. Ranjith Kumar, “DC link voltage regulation of a standalone hybrid power system,” Int. J. Pure and Appl. Math., Vol. 7, no. 2, 579,.May 2018.
  • T. Nechkrua and T. Leephakpreeda, “Adaptive PID control for DC link voltage via DC/DC buck boost converter,” Thammasat Int. J. Sci. Technol., Vol. 18, no. 2, 42–53, June 2013.
  • M. Ujjal, U. Abhisek, B. G. Hoay, R. T. Narsa, and K. K. Sathish, “A low complexity control and energy management for Dc coupled hybrid with hybrid energy storage system”, IEEE, 2017.
  • J. Hu, Y. Shan, and J. M. Guerrero, “A coordinated control of hybrid AC/DC microgrids with PV-Wind-Battery under variable generation and load conditions,” Int. J. Electrical Power and Energ. Syst., Vol. 104, pp. 583–592, Jan. 2019.
  • M. H. Rashid, Power electronics circuits devices and applications. Pearson Education, India, 2003.
  • K. Basaran, N. S. Cetin, and S. Borekci, “Energy management for on-grid and off-grid wind/PV and battery hybrid systems,” IET Trans. Renewable Power Gener., Vol. 11, no. 5, pp. 642–649, 2017.
  • T. K. Renuka, P. Reji, and S. Sreedharan, “An enhanced particle swarm optimization algorithm for improving the renewable energy penetration and small signal stability in power systems,” Renewables: Wind, Water Solar, Vol. 5, pp. 156–7944, 2018.
  • S-Y. Chen, Y-H. Hung, C-H. Wu, and S.-T. Huang, “Optimal energy management of a hybrid electric powertrain system using improved particle swarm optimization,” An Int. J. Appl. Energ., Vol. 160, pp. 132–145, 2015.
  • A. Kaabeche, S. Diaf, and R. Ibtiouen, “Firefly-inspired algorithm for optimal sizing of renewable hybrid system considering reliability criteria,” An Int. J. Solar Energ., Vol. 155, pp. 727–738, 2017.
  • Sh. M. Farahani, A. A. Abshouri, B. Nasiri, and M. R. Meybodi, “A Gaussian firefly algorithm,” Int. J. Mach. Learn. Comput., Vol. 1, no. 5, pp. 448–453, 2011.
  • S. K. Pal, C. S. Rai, and A. P. Singh, “Comparative study of firefly algorithm and particle swarm optimization for noisy non-Linear optimization problems,” An Int. J. Intell. Syst. Appl., Vol. 4, pp. 50–57, 2012.
  • P. Kora and K. Sri Rama Krishna, “Hybrid firefly and particle swarm optimization algorithm for the detection of bundle branch block,” Int. J. Cardiovasc. Acad., Vol. 2, pp. 44–48, 2016.
  • X. Xia, L. Gui, G. H. Chengwang Xie, B. Wei, Y. Xing, and R. W. Yichao Tang, “A hybrid optimizer based on firefly algorithm and particle swarm optimization algorithm,” J. Comput. Sci., Vol. 26, pp. 488–500, 2018.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.