- A. R. Jordehi, “Particle swarm optimisation (pso) for allocation of FACTS devices in electric transmission systems: A review,” Renewable Sustainable Energy Rev., vol. 52, pp. 1260–1267, 2015.
- 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. Manage., vol. 129, pp. 262–274, 2016.
- A. R. Jordehi, “A review on constraint handling strategies in particle swarm optimisation,” Neural Comput. Appl., vol. 26, pp. 1265–1275, 2015.
- A. Rezaee Jordehi and J. Jasni, “Parameter selection in particle swarm optimisation: a survey,” J. Exp. Theor. Artif. Intell., vol. 25, no. 4, pp. 527–542, 2013.
- A. R. Jordehi, “Enhanced leader pso (elpso): a new pso variant for solving global optimisation problems,” Appl. Soft Comput., vol. 26, pp. 401–417, 2015.
- J. Kennedy and R. Eberhart, “Particle swarm optimization,” in Proc. ICNN’95-Int. Conf. Neural Networks, vol. 4, pp. 1942–1948, IEEE, 1995.
- P. K. Guchhait, A. Banerjee, and V. Mukherjee, “Application of posicast controller with SVC in wind-diesel hybrid power system model,” SN Appl. Sci., vol. 3, pp. 1–16, 2021.
- B. Sadeghi, N. Shafaghatian, R. Alayi, M. El Haj Assad, F. Zishan, and H. Hosseinzadeh, “Optimization of synchronized frequency and voltage control for a distributed generation system using the black widow optimization algorithm,” Clean Energy, vol. 6, no. 1, pp. 105–118, 2022.
- A. Younesi, H. Shayeghi, and P. Siano, “Assessing the use of reinforcement learning for integrated voltage/frequency control in ac microgrids,” Energies, vol. 13, no. 5, p. 1250, 2020.
- M. A. Labed, M. Benidir, H. Sekhane, and M. Zellagui, “Solving the optimal power flow problem in transmission power system with SVC using the adaptive acceleration coefficients PSO algorithms,” in 2024 2nd Int. Conf. Electr. Eng. Autom. Control, pp. 1–5, IEEE, 2024.
- P. Sharma, T. Bhatti, and K. Ramakrishna, “Performance of statcom in an isolated wind–diesel hybrid power system,” Int. J. Green Energy, vol. 8, no. 2, pp. 163–172, 2011.
- R. Bansal, T. Bhatti, and D. Kothari, “Automatic reactive power control of isolated wind-diesel hybrid power systems for variable wind speed/slip,” Electr. Power Compon. Syst., vol. 32, no. 9, pp. 901–912, 2004.
- O. I. Elgerd and H. Happ, “Electric energy systems theory: an introduction,” IEEE Trans. Syst. Man Cybern., no. 2, pp. 296–297, 1972.
- A. Chatterjee, S. Ghoshal, and V. Mukherjee, “Transient performance improvement of grid-connected hydro system using distributed generation and capacitive energy storage unit,” Int. J. Electr. Power Energy Syst., vol. 43, no. 1, pp. 210–221, 2012.
- M. Ebrahim and M. Moustafa Hassan, “Control of single area power system based on evolutionary computation techniques", 01 2015.
- T. K. Saha and D. Kastha, “Design optimization and dynamic performance analysis of a stand-alone hybrid wind–diesel electrical power generation system,” IEEE Trans. Energy Convers., vol. 25, no. 4, pp. 1209–1217, 2010.
- J. Kenfack, F. P. Neirac, T. T. Tatietse, D. Mayer, M. Fogue, and A. Lejeune, “Microhydro-pv-hybrid system: Sizing a small hydro-pv-hybrid system for rural electrification in developing countries,” Renewable Energy, vol. 34, no. 10, pp. 2259–2263, 2009.
- P. Sharma, W. Sulkowski, and B. Hoff, “Dynamic stability study of an isolated wind-diesel hybrid power system
with wind power generation using ig, pmig and pmsg: A comparison,” Int. J. Electr. Power Energy Syst., vol. 53, pp. 857–866, 2013.
- M. Jain, V. Saihjpal, N. Singh, and S. B. Singh, “An overview of variants and advancements of Pso algorithm,” Appl. Sci., vol. 12, no. 17, p. 8392, 2022.
- X.-S. Yang and S. Deb, “Cuckoo search via lévy flights,” in 2009 World Congr. Nat. Biol. Inspired Comput., pp. 210–214, IEEE, 2009.
- S. A. Mousavi, M. Mehrpooya, and M. Delpisheh, “Development and life cycle assessment of a novel solar-based cogeneration configuration comprised of diffusion-absorption refrigeration and organic rankine cycle in remote areas,” Proc. Saf. Environ. Prot., vol. 159, pp. 1019–1038, 2022.
- A. Ebrahimi, B. Ghorbani, M. Delpisheh, and M. H. Ahmadi, “A comprehensive evaluation of a novel integrated system consisting of hydrogen boil-off gas reliquifying process and polymer exchange membrane fuel cell using exergoeconomic and Markov analyses,” Energy Rep., vol. 8, pp. 1283–1297, 2022.
- T. Parikhani, M. Delpisheh, M. A. Haghghi, S. G. Holagh, and H. Athari, “Performance enhancement and multi-objective optimization of a double-flash binary geothermal power plant,” Energy Nexus, vol. 2, p. 100012, 2021.
- H. Athari, F. Kiasatmanesh, M. A. Haghghi, F. Teymourzadeh, H. Yagoublou, and M. Delpisheh, “Investigation of an auxiliary option to meet local energy demand via an innovative small-scale geothermal-driven system; a seasonal analysis,” J. Build. Eng., vol. 50, p. 103902, 2022.
- M. Hekmatshoar, M. Deymi-Dashtebayaz, M. Gholizadeh, D. Dadpour, and M. Delpisheh, “Thermoeconomic analysis and optimization of a geothermal-driven multi-generation system producing power, freshwater, and hydrogen,” Energy, vol. 247, p. 123434, 2022.
- E. Assareh, M. Delpisheh, S. M. Alirahmi, S. Tafi, and M. Carvalho, “Thermodynamic-economic optimization of a solar-powered combined energy system with desalination for electricity and freshwater production,” Smart Energy, vol. 5, p. 100062, 2022.
- E. Jadidi, M. H. Khoshgoftar Manesh, M. Delpisheh, and V. C. Onishi, “Advanced exergy, exergoeconomic, and exergoenvironmental analyses of integrated solar-assisted gasification cycle for producing power and steam from heavy refinery fuels,” Energies, vol. 14, no. 24, p. 8409, 2021.
- X.-S. Yang and S. Deb, “Engineering optimisation by cuckoo search,” Int. J. Math. Modell. Numer. Optim., vol. 1, no. 4, pp. 330–343, 2010.
- W. Tan, M. Hassan, M. Majid, and H. Rahman, “Allocation and sizing of dg using cuckoo search algorithm,” in 2012 IEEE Int. Conf. power Energy, pp. 133–138, IEEE, 2012.
- E. Assareh, M. Delpisheh, E. Farhadi, W. Peng, and H. Moghadasi, “Optimization of geothermal-and solar-driven clean electricity and hydrogen production multi-generation systems to address the energy nexus,” Energy Nexus, vol. 5, p. 100043, 2022.
- A. Abdelaziz and E. S. Ali, “Cuckoo search algorithm based load frequency controller design for nonlinear interconnected power system,” Int. J. Electr. Power Energy Syst., vol. 73, pp. 632–643, 2015.
- P. Mehta, P. Bhatt, and V. Pandya, “Optimized coordinated control of frequency and voltage for distributed generating system using cuckoo search algorithm
|