Optimal planning of energy microgrid with multi-objective functions in independent mode | Science and Technology for Energy Transition (STET)

Decarbonizing Energy Systems: Smart Grid and Renewable Technologies

Open Access

Issue		Sci. Tech. Energ. Transition Volume 79, 2024 Decarbonizing Energy Systems: Smart Grid and Renewable Technologies


Article Number		66
Number of page(s)		9
DOI		https://doi.org/10.2516/stet/2024068
Published online		24 September 2024

Kunelbayev M., Mansurova M., Tyulepberdinova G., Sarsembayeva T., Issabayeva S., Issabayeva D. (2024) Comparison of the parameters of a flat solar collector with a tubular collector to ensure energy flexibility in smart buildings, Int. J. Innov. Res. Sci. Studies 7, 1, 240–250. https://doi.org/10.53894/ijirss.v7i1.2605. [Google Scholar]
Stamatiou P. (2024) Quality of life: the role of tourism and renewable energy, Int. J. Appl. Econ. Finance Account 18, 1, 43–52. https://doi.org/10.33094/ijaefa.v18i1.1286. [Google Scholar]
Uckun-Ozkan A. (2024) The impact of investor attention on green bond returns: how do market uncertainties and investment performances of clean energy and oil and gas markets affect the connectedness between investor attention and green bond?, Asian J. Econ. Modelling 12, 1, 53–75. https://doi.org/10.55493/5009.v12i1.4986. [CrossRef] [Google Scholar]
Malik G.H., Al Jasimee K.H., Alhasan G.A.K. (2019) Investigating the effect of using activity based costing (ABC) on captive product pricing system in internet supply chain services, Int. J Sup. Chain. Mgt 8, 1, 400–404. [Google Scholar]
Kharnoob M.M. (2021) The limitation and application of geometric buildings and civil structures, E3S Web Conf. 318, 04009. https://doi.org/10.1051/e3sconf/202131804009. [CrossRef] [EDP Sciences] [Google Scholar]
Hussan B.K., Rashid Z.N., Zeebaree S.R., Zebari R.R. (2023) Optimal deep belief network enabled vulnerability detection on smart environment, J. Smart Internet Things 2022, 1, 146–162. https://doi.org/10.2478/jsiot-2022-0010. [CrossRef] [Google Scholar]
Mahmoodi-Kaleibar M., Javanshir I., Asadi K., Afkar A., Paykani A. (2013) Optimization of suspension system of off-road vehicle for vehicle performance improvement, J. Cent. South Univ. 20, 902–910. https://doi.org/10.1007/s11771-013-1564-1. [CrossRef] [Google Scholar]
Zarepour G., Javanshir I. (2021) Semi-analytical study of fluid-induced nonlinear vibrations in viscoelastic beams with standard linear solid model using multiple time scales method, Amirkabir J. Mech. Eng. 53, 10, 5105–5122. https://doi.org/10.22060/mej.2021.19801.7117. [Google Scholar]
Kiani S., Salmanpour A., Hamzeh M., Kebriaei H. (2024) Learning robust model predictive control for voltage control of islanded microgrid, IEEE Trans. Autom. Sci. Eng.. https://doi.org/10.1109/TASE.2024.3388018. [Google Scholar]
EskandariNasab M., Raeisi Z., Lashaki R.A., Najafi H.A. (2024) A GRU-CNN model for auditory attention detection using microstate and recurrence quantification analysis, Sci. Rep. 14, 8861. https://doi.org/10.1038/s41598-024-58886-y. [CrossRef] [Google Scholar]
Shabani S., Majkut M., Dykas S., Smołka K., Cai X. (2022) Liquid phase identification in wet steam transonic flows by means of measurement methods, J. Phys. Conf. Ser. 2367, 1, 012013. https://doi.org/10.1088/1742-6596/2367/1/012013. [CrossRef] [Google Scholar]
Seifi N., Al-Mamun A. (2024) Optimizing memory access efficiency in CUDA kernel via data layout technique, J. Comput. Commun. 12, 124–139. https://doi.org/10.4236/jcc.2024.125009. [Google Scholar]
Shokrollahi H., Emdadi Derabi M. (2024) Deformation of an open sandwich cylindrical shell with CNT reinforced faces using HDQ method, Arabian J. Sci. Eng. https://doi.org/10.1007/s13369-024-09339-1. [Google Scholar]
Shabani S., Majkut M., Dykas S., Smołka K., Lakzian E., Ghodrati M., Zhang G. (2024) Evaluation of a new droplet growth model for small droplets in condensing steam flows, Energies 17, 5, 1135. https://doi.org/10.3390/en17051135. [CrossRef] [Google Scholar]
Chen D., Hosseini A., Smith A., Nikkhah A.F., Heydarian A., Shoghli O., Campbell B. (2024) Performance evaluation of real-time object detection for electric scooters, arXiv preprint . https://arxiv.org/abs/2405.03039. [Google Scholar]
Karimzadeh M., Basvoju D., Vakanski A., Charit I., Xu F., Zhang X. (2024) Machine learning for additive manufacturing of functionally graded materials, Materials 17, 15, 3673. https://doi.org/10.3390/ma17153673. [CrossRef] [PubMed] [Google Scholar]
Panahi S., Cheraghifar F., Talebian Sh (2018) An investigation on painting and imagery in Zen, Mod. Appl. Sci. 12, 9, 200–208. https://doi.org/10.5539/mas.v12n9p200. [CrossRef] [Google Scholar]
Emdadi Derabi M., Sangsefidi M., Rahmani O. (2021) The effect of thickness on the multiwalled carbon nanotubes performance in glass/epoxy composite laminates under dynamic loading, Polym. Compos. 42, 11, 5789–5800. https://doi.org/10.1002/pc.26260. [CrossRef] [Google Scholar]
Shabani S., Majkut M. (2024) CFD approach for determining the losses in two-phase flows through the last stage of condensing steam turbine, Appl. Therm. Eng. 253, 123809. https://doi.org/10.1016/j.applthermaleng.2024.123809. [CrossRef] [Google Scholar]
Hajrasouliha A., Ghahfarokhi B.S. (2021) Dynamic geo-based resource selection in LTE-V2V communications using vehicle trajectory prediction, Comput. Commun. 177, 239–254. https://doi.org/10.1016/j.comcom.2021.08.006. [Google Scholar]
Lakzian E., Mahrooghi A. (2023) Optimization of wells turbine performance, in: Progress in sustainable development, Elsevier, pp. 155–204. [CrossRef] [Google Scholar]
Yousefizad M., Zarasvand M.M., Bagheritabar M., Ghezelayagh M.M., Farahi A., Ghafouri T., Raissi F., Zeidabadi M.A., Manavizadeh N. (2023) Performance investigation of low-power flexible n-ZnO/p-CuO/n-ZnO heterojunction bipolar transistor: simulation study, Micro Nanostructures 180, 207594. https://doi.org/10.1016/j.micrna.2023.207594. [CrossRef] [Google Scholar]
Demir N., Shadjou A.M., Abdulameer M.K., Almasoudie N.K.A., Mohammed N., Fooladi H. (2024) A low-carbon multigeneration system based on a solar collector unit, a bio waste gasification process and a water harvesting unit, Int. J. Low-Carbon Technol. 19, 1204–1214. https://doi.org/10.1093/ijlct/ctae045. [CrossRef] [Google Scholar]
Chamandoust H., Bahramara S., Derakhshan G. (2020) Day-ahead scheduling problem of smart micro-grid with high penetration of wind energy and demand side management strategies, Sustain. Energy Technol. Assess. 40, 100747. https://doi.org/10.1016/j.seta.2020.100747. [Google Scholar]
Chamandoust H., Derakhshan G., Bahramara S. (2020) Multi-objective performance of smart hybrid energy system with multi-optimal participation of customers in day-ahead energy market, Energy Build. 216, 109964. https://doi.org/10.1016/j.enbuild.2020.109964. [CrossRef] [Google Scholar]
Moradi H.R., Chamandoust H. (2017) Impact of multi-output controller to consider wide area measurement and control system on the power system stability, in: 2017 IEEE 4th International Conference on Knowledge-Based Engineering and Innovation (KBEI), Tehran, Iran, 22–22 December, IEEE, pp. 0280–0288. [Google Scholar]
Shaheen A.M., Elattar E.E., El-Sehiemy R.A., Elsayed A.M. (2020) An improved sunflower optimization algorithm-based Monte Carlo simulation for efficiency improvement of radial distribution systems considering wind power uncertainty, IEEE Access 9, 2332–2344. https://doi.org/10.1109/access.2020.3047671. [Google Scholar]
Raslan A.F., Ali A.F., Darwish A., El-Sherbiny H.M. (2021) An improved sunflower optimization algorithm for cluster head selection in the internet of things, IEEE Access 9, 156171–156186. https://doi.org/10.1109/ACCESS.2021.3126537. [CrossRef] [Google Scholar]
Chamandoust H., Hashemi A., Derakhshan G., Abdi B. (2017) Optimal hybrid system design based on renewable energy resources, in: IEEE Smart Grid Conference (SGC), Tehran, Iran, 20–21 December, IEEE, pp. 1–5. https://doi.org/10.1109/SGC.2017.8308878. [Google Scholar]
Chamandoust H. (2022) Optimal hybrid participation of customers in a smart micro-grid based on day-ahead electrical market, Artif. Intell. Rev. 55, 7, 5891–5915. https://doi.org/10.1007/s10462-022-10154-z. [CrossRef] [Google Scholar]
Enayati M., Derakhshan G., Mehdi Hakimi S. (2022) Optimal energy scheduling of storage-based residential energy hub considering smart participation of demand side, J. Energy Storage 49, 104062. https://doi.org/10.1016/j.est.2022.104062. [CrossRef] [Google Scholar]
Du X., Yang Y., Guo H. (2024) Economic energy scheduling of electrical microgrid considering optimal participation of the electric vehicles, Sci. Technol. Energy Transition 79, 42. https://doi.org/10.2516/stet/2024040. [CrossRef] [Google Scholar]
Zhao Y., Zhang H., Ding Y., Zeng S., Ma L., Wang Z. (2024) Economic dispatch of community-integrated energy system considering demand-side coordinated response, Sci. Technol. Energy Transition 79, 25. https://doi.org/10.2516/stet/2024017. [CrossRef] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.