Open Access
Issue
E3S Web Conf.
Volume 264, 2021
International Scientific Conference “Construction Mechanics, Hydraulics and Water Resources Engineering” (CONMECHYDRO - 2021)
Article Number 04063
Number of page(s) 8
Section Mechanization, Electrification of Agriculture and Renewable Energy Sources
DOI https://doi.org/10.1051/e3sconf/202126404063
Published online 02 June 2021
  1. Duong, Quoc Hung, N. Mithulananthan, R.C. Bansal. (2014). Integration of PV and BES units in commercial distribution systems considering energy loss and voltage stability. Applied Energy. 113. 1162–1170. [Google Scholar]
  2. Xing, H., Cheng, H., Zhang, Y. and Zeng, P. (2016). Active distribution network expansion planning integrating dispersed energy storage systems. IET Generation, Transmission & Distribution. 10(3). 638–644. [Google Scholar]
  3. Padmanabhan, N., Ahmed, M. and Bhattacharya, K. Battery Energy Storage Systems in Energy and Reserve Markets. IEEE Transactions on Power Systems. (2019). [Google Scholar]
  4. Harpreetkaur Channi, Surbhi Gupta, Arvind Dhingra. Optimization and simulation of a solar-wind hybrid system using HOMER for Rural Electrification. International Journal of Advanced Science and Technology, 29(10s), 2108–2116. Retrieved from http://sersc.org/journals/index.php/HAST/article/view/16821. (2020). [Google Scholar]
  5. Akbari-Dibavar, A., Nojavan, S., Zare, K. (2019). Optimal Sitting and Sizing of Energy Storage Systems in a Smart Distribution Network Considering Network Constraints and Demand Response Program. Journal of Energy Management and Technology, 3(2), 14–25. doi: 10.22109/jemt.2018.143478.111. [Google Scholar]
  6. Rayees Ahmad Thokar, Nikhil Gupta, KR Niazi, Anil Swarnkar, Sachin Sharma, NK Meena. Optimal Integration and Management of Solar Generation and Battery Storage System in Distribution Systems under Uncertain Environment. International Journal of Renewable Energy Research. 10(1), March. (2020). [Google Scholar]
  7. Sterling, G. and Tyler, B. (2018). Renewable Energy Management Using Action Dependent Heuristic Dynamic Programming. IEEE International Smart Cities Conference (ISC2), 1–5. USA. doi: 10.1109/ISC2.2018.8656942. [Google Scholar]
  8. Gayibov, T.Sh., Reymov, K.M., Optimal Planning of Short-Term Modes of Power Systems with Control of Loads of Electric Consumers and Taking into Account of Network Factor. European Science Review. 3(9-10), pp. 86–91. (2017). [Google Scholar]
  9. T.Sh. Gayibov, B.A. Uzakov, E.A. Abdullaev. (2020) Optimization of loading schedules of consumers with own stations on the basis of renewable energy sources. Journal of critical reviews. 7(15) 1738–1742. [Google Scholar]
  10. Jordan Radosavljevic, Nebojsa Arsic, Milos Milovanovic, and Aphrodite Ktena. (2020). Optimal Placement and Sizing of Renewable Distributed Generation Using Hybrid Metaheuristic Algorithm. Journal of modern power systems and clean energy. 8(3), 499–510. [Google Scholar]
  11. Tulkin Gayibov, Bekzod Pulatov, Sherxon Latipov, Gulnaz Turmanova: Power System Optimization in Terms of Uncertainty of Initial Information. E3S Web of Conference 139, 01031 (2019). RSES 2019. https://doi.org/10.1051/e3sconf/201913901031. [Google Scholar]
  12. T. Gayibov , Sh Latipov, D Abdurashidov, B Pulatov, A Davirov: Algorithm for power systems mode optimization taking into account the frequency change in terms of probablistic nature of initial information. IOP Conf. Series: Materials Science and Engineering, 883, 012185 (2020). doi: 10.1088/1757-899X/883/1/012185. [Google Scholar]
  13. Tulkin Gayibov. Algorithm for optimization of power system short-term mode in conditions of partial uncertainty of initial information taking into account the frequency change. E3S Web of Conference 216, 01100 (2020). RSES 2020. https:/doi.org/10/1051\e3sconf/202021601100. [Google Scholar]
  14. Valdma M., Keel M., Liik O. and Tammoja, H.: Method of Minimax optimization of Power System Operation. In: Bologna Italy Proccedings of IEEE Bologna Power Tech. pp. 23–26 (2003). [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.