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Research Article

Dynamic Optimal Power Flow for Grid-Connected Multi-Microgrid System considering Outage of Energy Sources

Received 02 Mar 2023, Accepted 01 Oct 2023, Published online: 17 Oct 2023

References

  • IRENA, Global Energy Transformation: A Roadmap to 2050. Abu Dhabi: international Renewable Energy Agency, 2018,
  • O. Palizban, K. Kauhaniemi and J. M. Guerrero, “Microgrids in active network management part I: hierarchical control, energy storage, virtual power plants, and market participation,” Renew. Sustain. Energy Rev., vol. 36, pp. 428–439, 2014. DOI: 10.1016/j.rser.2014.01.016.
  • M. H. Moradi and M. Abedini, “A novel method for optimal DG unit capacity and location in Microgrids,” Int. J. Electr. Power Energy Syst., vol. 75, pp. 236–244, 2016. DOI: 10.1016/j.ijepes.2015.09.013.
  • M. Sadeghi Sarcheshmeh, S. A. Taher and M. Mazidi, “A stochastic frequency security constrained optimization model for day-ahead energy and reserve scheduling of islanded multi-microgrids systems,” Int. Trans. Electr. Energy Syst., vol. 30, no. 6, pp. 12386, 2020.
  • A. Mansour-Saatloo, et al., “Robust decentralized optimization of Multi-Microgrids integrated with power-to-X technologies,” Appl. Energy, vol. 304, pp. 117635, 2021. DOI: 10.1016/j.apenergy.2021.117635.
  • A. Kargarian and M. Rahmani, “Multi-microgrid energy systems operation incorporating distribution-interline power flow controller,” Electr. Power Syst. Res., vol. 129, pp. 208–216, 2015. DOI: 10.1016/j.epsr.2015.08.015.
  • H. Karimi and S. Jadid, “Optimal energy management for multi-microgrid considering demand response programs: a stochastic multi-objective framework,” Energy, vol. 195, pp. 116992, 2020. DOI: 10.1016/j.energy.2020.116992.
  • H. Karimi, S. Jadid and A. Makui, “Stochastic energy scheduling of multi-microgrid systems considering independence performance index and energy storage systems,” J. Energy Storage, vol. 33, pp. 102083, 2021. DOI: 10.1016/j.est.2020.102083.
  • N. Rezaei, Y. Pezhmani and A. Khazali, “Economic-environmental risk-averse optimal heat and power energy management of a grid-connected multi microgrid system considering demand response and bidding strategy,” Energy, vol. 240, pp. 122844, 2022. DOI: 10.1016/j.energy.2021.122844.
  • M. S. Misaghian, et al., “Hierarchical framework for optimal operation of multiple microgrids considering demand response programs,” Electr. Power Syst. Res., vol. 165, pp. 199–213, 2018. DOI: 10.1016/j.epsr.2018.09.003.
  • C. J. Rhodes, “The 2015 paris climate change conference: cop21,” Sci. Prog., vol. 99, no. Pt 1, pp. 97–104, 2016. DOI: 10.3184/003685016X14528569315192.
  • D. E. Olivares, C. A. Canizares and M. Kazerani, “A centralized energy management system for isolated microgrids,” IEEE Trans. Smart Grid, July vol. 5, no. 4, pp. 1864–1875, 2014. DOI: 10.1109/TSG.2013.2294187.
  • J. D. Lara, D. E. Olivares and C. A. Canizares, “Robust energy management of isolated microgrids,” IEEE Syst. J., March vol. 13, no. 1, pp. 680–691, 2019. DOI: 10.1109/JSYST.2018.2828838.
  • W. Shi, X. Xie, C. Chu and R. Gadh, “Distributed optimal energy management in microgrids,” IEEE Trans. Smart Grid, May vol. 6, no. 3, pp. 1137–1146, 2015. DOI: 10.1109/TSG.2014.2373150.
  • E. Dall Anese, H. Zhu and G. B. Giannakis, “Distributed Optimal power flow for smart microgrids,” IEEE Trans. Smart Grid, Sept. vol. 4, no. 3, pp. 1464–1475, 2013. DOI: 10.1109/TSG.2013.2248175.
  • P. P. Vergara, et al., “A generalized model for the optimal operation of microgrids in grid-connected and islanded droop-based mode,” IEEE Trans. Smart Grid, Sept. vol. 10, no. 5, pp. 5032–5045, 2019. DOI: 10.1109/TSG.2018.2873411.
  • P. P. Vergara, J. C. Lopez, M. J. Rider and L. C. C. da Silva, “Optimal operation of unbalanced three-phase islanded droop-based microgrids,” IEEE Trans. Smart Grid, vol. 10, no. 1, pp. 928–940, Jan. 2019. DOI: 10.1109/TSG.2017.2756021.
  • R. Jamalzadeh and M. Hong, “Microgrid optimal power flow using the generalized benders decomposition approach,” IEEE Trans. Sustain. Energy, vol. 10, no. 4, pp. 2050–2064, 2019. DOI: 10.1109/TSTE.2018.2877907.
  • S. R. Salkuti, “Binary Bat Algorithm for Optimal Operation of Radial Distribution Networks,” ijeei, vol. 14, no. 1, pp. 148–160, March 2022. DOI: 10.15676/ijeei.2022.14.1.9.
  • S. R. Salkuti, “Advanced Technologies for Energy Storage and Electric Vehicles,” Energies, vol. 16, no. 5, pp. 2312, 2023. DOI: 10.3390/en16052312.
  • P. Jadhav, D. More and S. R. Salkuti, “Smart residential distribution energy management system with integration of demand response and Aggregator,” Cleaner Responsible Consumption, vol. 9, pp. 100115, 2023. DOI: 10.1016/j.clrc.2023.100115.
  • K. Shankar S. R. Salkuti and S.-C. Kim, “Review on microgrids: types, challenges, pportunities, uncertainties, and their modeling,” 14 June 2023. Part of the Lecture Notes in Electrical Engineering book series (LNEE, vol. 1039).
  • R. Peesapati, Y. K. Nayak, S. K. Warungase and S. R. Salkuti, “Constrained static/dynamic economic emission load dispatch using elephant herd optimization,” Information, vol. 14, no. 6, pp. 339, 2023. DOI: 10.3390/info14060339.
  • M. H. Moradi, S. M. Reza Tousi and M. Abedini, “Multi-objective PFDE algorithm for solving the optimal siting and sizing problem of multiple DG sources,” Electrical Power and Energy Systems, vol. 56, pp. 117–126, 2014. DOI: 10.1016/j.ijepes.2013.11.014.
  • R. A. Ibikunle, I. F. Titiladunayo, B. O. Akinnuli, S. O. Dahunsi and T. M. A. Olayanju, “Estimation of power generation from municipal solid wastes: a case study of Ilorin metropolis, Nigeria,” Energy Reports, vol. 5, pp. 126–135, 2019. DOI: 10.1016/j.egyr.2019.01.005.
  • A.-M. Hariri, H. Hashemi-Dezaki and M. A. Hejazi, “A novel generalized analytical reliability assessment method of smart grids including renewable and non-renewable distributed generations and plug-in hybrid electric vehicles,” Reliab. Eng. Syst. Saf., vol. 196, pp. 106746, 2020. DOI: 10.1016/j.ress.2019.106746.
  • W. Li, Risk Assessment of Power Systems: Models, Methods, and Applications. Hoboken, NJ: John Wiley & Sons, IEEE Press, 2014.
  • A. J. Wood and B. F. Wollenberg, Power Generation, Operation and Control. Hoboken, NJ: John Wiley & Sons, 2012.
  • R. Morsali and R. Kowalczy, “Demand response based day-ahead scheduling and battery sizing in microgrid management in rural areas,” IET Renew. Power Gener., vol. 12, no. 14, pp. 1651–1658, 2018. DOI: 10.1049/iet-rpg.2018.5429.
  • D. Das, D. P. Kothari and A. Kalam, “Simple and efficient method for load flow solution of radial distribution networks,” Elect. Power Energy Syst., vol. 17, no. 5, pp. 335–346, 1995. DOI: 10.1016/0142-0615(95)00050-0.
  • G. Liu, M. Starke, B. Xiao, X. Zhang and K. Tomsovic, “Microgrid optimal scheduling with chance-constrained islanding capability,” Electric Power Systems Research, vol. 145, pp. 197–206, 2017. DOI: 10.1016/j.epsr.2017.01.014.
  • K. Deb and R. B. Agrawal, “Simulated binary crossover for continuous search space,” Complex Syst., vol. 9, no. 2, pp. 115–148, 1995.
  • M. Basu, “Fast convergence real-coded genetic algorithm for short-term solar-wind-hydro-thermal generation scheduling,” Electric Power Components and Systems, vol. 46, no. 11–12, pp. 1239–1249, 2018. DOI: 10.1080/15325008.2018.1486475.
  • S. Rahnamayan, H. R. Tizhoosh and M. M. A. Salama, “Quasi oppositional differential evolution,” Proceeding of IEEE Congress on Evolu. Comput. CEC 2007, 25th-28th September, 2007, pp. 2229–2236.
  • A. Ratnaweera, S. K. Halgamuge and H. C. Waston, “Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients,” IEEE Trans. Evol. Computat, vol. 8, no. 3, pp. 240–255, June 2004. DOI: 10.1109/TEVC.2004.826071.
  • K. V. Price, R. Storn and J. Lampinen, Differential Evolution: A Practical Approach to Global Optimization. Berlin: Springer-Verlag, 2005,
  • D. Karaboga, “An idea based on honey bee swarm for numerical optimization,” Technical Report-Tr06t, Erciyes University, Engineering faculty, Computer Engineering Department, Turkey, 2005.

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