Zobrazeno 1 - 10
of 193
pro vyhledávání: '"Birgitte Bak‐Jensen"'
Autor:
Seyed Hassan Ashrafi Niaki, Zhe Chen, Birgitte Bak‐Jensen, Kamran Sharifabadi, Zhou Liu, Shuju Hu
Publikováno v:
IET Renewable Power Generation, Vol 18, Iss 2, Pp 187-199 (2024)
Abstract Fast progress of High Voltage Direct Current (HVDC) technology has been considerable over the past decades. Emerging Modular Multilevel Converter (MMC) provides power systems with promising solutions to integrate large‐scale renewable ener
Externí odkaz:
https://doaj.org/article/fcfc16e26c8c4acca3b4fe7bffe5cceb
Autor:
Wenlong Liao, Shouxiang Wang, Birgitte Bak-Jensen, Jayakrishnan Radhakrishna Pillai, Zhe Yang
Publikováno v:
Journal of Modern Power Systems and Clean Energy, Vol 12, Iss 1, Pp 154-166 (2024)
The uncertainties of the power load, wind power, and photovoltaic power lead to errors between point prediction values and real values, which challenges the safe operation of distribution networks. In this paper, a robust reactive power scheduling (R
Externí odkaz:
https://doaj.org/article/b164e51839bf44d188c6681eb756618f
Publikováno v:
Energies, Vol 17, Iss 19, p 4893 (2024)
Phasor-domain (RMS) simulations have become increasingly vital in modern power system analysis, particularly as the complexity and scale of these systems have expanded with the integration of renewable energy sources. ePHASORSIM, an advanced phasor-b
Externí odkaz:
https://doaj.org/article/5b6a98f69da94c1a874b3503ef161df4
Publikováno v:
Energies, Vol 17, Iss 18, p 4670 (2024)
The integration of renewable energy sources (RESs) is rapidly increasing within energy systems worldwide. However, this shift introduces intermittency and uncertainty on the supply side. To hedge against RES intermittency, demand-side flexibility int
Externí odkaz:
https://doaj.org/article/abedc847b6f74eb8af739fbf5a285d01
Publikováno v:
Wind, Vol 3, Iss 3, Pp 361-374 (2023)
Large and remote offshore wind farms (OWFs) usually use voltage source converter (VSC) systems to transmit electrical power to the main network. Submarine high-voltage direct current (HVDC) cables are commonly used as transmission links. As they are
Externí odkaz:
https://doaj.org/article/98668d2562e2421389033df44a34ae8d
Publikováno v:
Energies, Vol 17, Iss 12, p 2986 (2024)
Demand flexibility plays a crucial role in mitigating the intermittency of renewable power sources. This paper focuses on an active distribution grid that incorporates flexible heat and electric demands, specifically heat pumps (HPs) and electric veh
Externí odkaz:
https://doaj.org/article/6af6e377b47c4c8386b96788d981b9c1
Autor:
Wenlong Liao, Shouxiang Wang, Birgitte Bak-Jensen, Jayakrishnan Radhakrishna Pillai, Zhe Yang, Kuangpu Liu
Publikováno v:
Journal of Modern Power Systems and Clean Energy, Vol 11, Iss 4, Pp 1100-1114 (2023)
Reliable and accurate ultra-short-term prediction of wind power is vital for the operation and optimization of power systems. However, the volatility and intermittence of wind power pose uncertainties to traditional point prediction, resulting in an
Externí odkaz:
https://doaj.org/article/89f4f8958e3e47f0a9359e399f648712
Publikováno v:
Energy Reports, Vol 8, Iss , Pp 6659-6671 (2022)
Accurate and reliable prediction of power load is critical to ensure the economy and stability of power systems. However, deterministic point prediction can scarcely be accurate due to the fluctuating and stochastic behavior of power load series, res
Externí odkaz:
https://doaj.org/article/60fcb47ae6a54c6388bad526dfceaa57
Publikováno v:
Next Energy, Vol 1, Iss 2, Pp 100022- (2023)
The energy communities have the potential to accelerate energy transition and empower consumers, thereby, promoting collaborative social transformation. The local energy communities can support the power grid by offering a variety of flexibility serv
Externí odkaz:
https://doaj.org/article/4cff857b4e694e3da762dfd18c977137
Autor:
Wenlong Liao, Birgitte Bak-Jensen, Jayakrishnan Radhakrishna Pillai, Zhe Yang, Yusen Wang, Kuangpu Liu
Publikováno v:
Journal of Modern Power Systems and Clean Energy, Vol 10, Iss 6, Pp 1563-1575 (2022)
Scenario generations for renewable energy sources and loads play an important role in the stable operation and risk assessment of integrated energy systems. This paper proposes a deep generative network based method to model time-series curves, e.g.,
Externí odkaz:
https://doaj.org/article/2b5c7cf03d374a0cbf673b697b62fcae