Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Venera Nurmanova"'
Publikováno v:
IEEE Access, Vol 11, Pp 116650-116664 (2023)
The growth in energy consumption and pollution has led to increase the utilization of clean energy resources and electric vehicles (EVs), making the issue of network uncertainty a crucial concern. A multi-energy system offers an optimal approach to e
Externí odkaz:
https://doaj.org/article/37e3f0513e294ed488ddea2277ff8b8d
Publikováno v:
IEEE Access, Vol 6, Pp 38986-38996 (2018)
To mitigate the power quality issue in microgrids, a new online reference control strategy for distribution static compensator using the reinforcement learning algorithm is presented. The new controller is supposed to compensate the reactive power, h
Externí odkaz:
https://doaj.org/article/d4d733dd4e7d427d9031d2c9e20c4002
Autor:
Rasoul Asghari, Babak Mozafari, Mohammad Salay Naderi, Turaj Amraee, Venera Nurmanova, Mehdi Bagheri
Publikováno v:
IEEE Access, Vol 6, Pp 71932-71946 (2018)
The main problem of time delay in the application of remote signals is that it limits the contribution of the controller devices in damping inter-area oscillations, and thus to overcome this problem, we proposed a new time delayed controller in this
Externí odkaz:
https://doaj.org/article/cbc1f66851844e24b06fec6b5b5f6ce2
Autor:
Mehdi Bagheri, Venera Nurmanova, Oveis Abedinia, Mohammad Salay Naderi, Noradin Ghadimi, Mehdi Salay Naderi
Publikováno v:
Energies, Vol 12, Iss 3, p 373 (2019)
In this study, the influence of using acid batteries as part of green energy sources, such as wind and solar electric power generators, is investigated. First, the power system is simulated in the presence of a lead–acid battery, with an independen
Externí odkaz:
https://doaj.org/article/e60969a939fc477aae7b3672383acbe6
Publikováno v:
IEEE Transactions on Industry Applications. 58:7034-7046
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6328c6a7cc25bdb1bf7242387c971564
https://doi.org/10.1109/tia.2022.3200348
https://doi.org/10.1109/tia.2022.3200348
Autor:
B.T. Phung, Mehdi Bagheri, Yerbol Akhmetov, Gevork B. Gharehpetian, Amin Zollanvari, Venera Nurmanova
Publikováno v:
IEEE Transactions on Industry Applications. 58:233-241
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8fe26338513cadfee576dbf09c547161
https://doi.org/10.1109/tia.2021.3118661
https://doi.org/10.1109/tia.2021.3118661
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 71:1-11
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::40b637d3738e79230c682a57c0c6d079
https://doi.org/10.1109/tim.2022.3159012
https://doi.org/10.1109/tim.2022.3159012
Publikováno v:
2022 International Conference on Computing, Networking, Telecommunications & Engineering Sciences Applications (CoNTESA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ea526b3ac859958f6358a673c03e986a
https://doi.org/10.1109/contesa57046.2022.10011334
https://doi.org/10.1109/contesa57046.2022.10011334
Publikováno v:
IEEE Transactions on Industrial Informatics. 17:3020-3031
Interpreting results of a transformer frequency response analysis (FRA) is quite challenging. One of the common methods to summarize FRA data is to employ statistical indicators (SIs) over FRA spectra. However, SI-specific boundary conditions for var
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d5b6c2f2664bd408c412b899c6a9d9ec
https://doi.org/10.1109/tii.2020.3007607
https://doi.org/10.1109/tii.2020.3007607
A New Transformer Winding RLC Model to Study the Effect of the Disk Space Variation on FRA Signature
Autor:
Yerbol Akhmetov, Mehdi Bagheri, Gevork B. Gharehpetian, Venera Nurmanova, Toan Phung, Amin Zollanvari
Publikováno v:
2021 IEEE International Conference on Environment and Electrical Engineering and 2021 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe).
The mechanical and electrical stability of the power and distribution transformers is essential by electricity providers and consumers. The transfer function method, specifically, Frequency Response Analysis (FRA) is quite well-known as the most accu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6441ce7dd7ee1109f7609b3636b3813b
https://doi.org/10.1109/eeeic/icpseurope51590.2021.9584786
https://doi.org/10.1109/eeeic/icpseurope51590.2021.9584786