Zobrazeno 1 - 10
of 75
pro vyhledávání: '"Oveis Abedinia"'
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
Autor:
Oveis Abedinia, Mehdi Bagheri
Publikováno v:
IET Renewable Power Generation, Vol 16, Iss 6, Pp 1134-1147 (2022)
Abstract Accurate photovoltaic (PV) forecasting is quite crucial in planning and in the regular operation of power system. Stochastic habit along with the high risks in PV signal uncertainty and a probabilistic forecasting model is required to addres
Externí odkaz:
https://doaj.org/article/48139703cfd7483fb9ae4170ed9ec88d
Publikováno v:
IET Renewable Power Generation, Vol 15, Iss 12, Pp 2699-2714 (2021)
Abstract Accurate prediction of solar photovoltaic plant energy generation is essential for optimal planning and operation of modern power systems, and incorporating such plants into the energy sector. In this study, an adaptive Gaussian mixture meth
Externí odkaz:
https://doaj.org/article/05b4e270ead649ae97eabf78389c4e2d
Publikováno v:
IEEE Access, Vol 8, Pp 3465-3481 (2020)
In the given research, a new multicriterion (multiobjective) optimization algorithm has been considered to solve the problem of electric vehicles (EV) scheduling in a smart network in view of sustainable energy sources based on the cost and pollution
Externí odkaz:
https://doaj.org/article/9e87544967c449e5aa31b4b920800682
Autor:
Maxim Lu, Oveis Abedinia, Mehdi Bagheri, Noradin Ghadimi, Miadreza Shafie-khah, João P.S. Catalão
Publikováno v:
IET Smart Grid (2020)
One of the main goals of any power grid is sustainability. The given study proposes a new method, which aims to reduce users’ anxiety especially at slow charging stations and improve the smart charging model to increase the benefits for the electri
Externí odkaz:
https://doaj.org/article/75cb7c332ccd4b38934ca17c590b2fd0
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:
Oveis Abedinia, Mehdi Bagheri
Publikováno v:
Energies, Vol 14, Iss 10, p 2961 (2021)
In this article, a novel dynamic economic load dispatch with emission based on a multi-objective model (MODEED) considering demand side management (DSM) is presented. Moreover, the investigation and evaluation of impacts of DSM for the next day are c
Externí odkaz:
https://doaj.org/article/222e71baad6646179e6307daf31b7fde
Autor:
Oveis Abedinia, Nima Amjady
Publikováno v:
مجله مدل سازی در مهندسی, Vol 14, Iss 45, Pp 133-144 (2016)
In recent years, the electrical industrial convert to a competitive market in some of the countries which is named a deregulated systems. To maintain the stability of power grids and reliable power transmission, in addition to providing active power,
Externí odkaz:
https://doaj.org/article/6122fcf116ec48998f3a986af0ff3614
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