Zobrazeno 1 - 10
of 2 271
pro vyhledávání: '"TK3001-3521"'
Publikováno v:
IET Generation, Transmission & Distribution, Vol 18, Iss 20, Pp 3221-3233 (2024)
Abstract The variability of renewable energy within microgrids (MGs) necessitates the smoothing of power fluctuations through the effective scheduling of internal power equipment. Otherwise, significant power variations on the tie‐line connecting t
Externí odkaz:
https://doaj.org/article/39aa1e3fb5b64753819007e9f0cfe0ce
Publikováno v:
IET Generation, Transmission & Distribution, Vol 18, Iss 20, Pp 3234-3246 (2024)
Abstract In response to growing reliance on electricity and gas systems, this paper introduces a stochastic bi‐level model for the optimized integration of these systems. This integration is achieved through sizing and allocating of power‐to‐ga
Externí odkaz:
https://doaj.org/article/0bfe9d8a0ccb4c91b917cc2758fdb753
Autor:
Majid Majidi, Masood Parvania
Publikováno v:
IET Generation, Transmission & Distribution, Vol 18, Iss 20, Pp 3151-3160 (2024)
Abstract The high adoption of electric vehicles (EVs) and the rising need for charging power in recent years calls for advancing charging service infrastructures and assessing the readiness of the power system to cope with such infrastructures. This
Externí odkaz:
https://doaj.org/article/3d16f0d2360b40f9a156428cdcccac63
Autor:
Yuxin Lu, Hongjie Li, Yu Zhang, Jing Hu, Lin Yin, Weisheng He, Nianping Yan, Tangbing Li, Jianzhang Zou, Yuan Yan, Longwu Zhou
Publikováno v:
IET Generation, Transmission & Distribution, Vol 18, Iss 20, Pp 3278-3288 (2024)
Abstract This research introduces a novel damped alternating current (DAC) testing methodology, which integrates an enhanced DAC generator with a pulse‐based distributed partial discharge (PD) detection technique. The advanced DAC generator is desi
Externí odkaz:
https://doaj.org/article/520304cb91b546eda79126fe7307039b
Publikováno v:
IET Generation, Transmission & Distribution, Vol 18, Iss 20, Pp 3247-3263 (2024)
Abstract Accurate electric load forecasting at various time periods is considered a necessary challenge for electricity consumers and generators to maximize their economic efficiency in energy markets. Hence, the accuracy and effectiveness of existin
Externí odkaz:
https://doaj.org/article/81cdf6181f544c44a7f5c3f868dceb51
Publikováno v:
IET Generation, Transmission & Distribution, Vol 18, Iss 20, Pp 3170-3186 (2024)
Abstract To solve the problem of negative‐sequence and reactive power in electrified railway, this paper proposes a comprehensive compensation method based on V/v transformer and electromagnetic single‐phase var compensator (ESVC) for co‐phase
Externí odkaz:
https://doaj.org/article/70417dde140a4cecb85f15b2a2f16319
Autor:
Zhiyuan Xie, Chao Dong, Ke Zhang, Jiacun Wang, Yangjie Xiao, Xiwang Guo, Zhenbing Zhao, Chaojun Shi, Wei Zhao
Publikováno v:
IET Generation, Transmission & Distribution, Vol 18, Iss 20, Pp 3264-3277 (2024)
Abstract Maintenance of power transmission lines is essential for the safe and reliable operation of the power grid. The use of deep learning‐based networks to improve the performance of power line defect detection faces significant challenges, suc
Externí odkaz:
https://doaj.org/article/edb7211fff1445fe9e8a7033188aa12b
Publikováno v:
IET Generation, Transmission & Distribution, Vol 18, Iss 20, Pp 3200-3220 (2024)
Abstract To address the challenge of insufficient comprehensive extraction and fusion of meteorological conditions, temporal features, and power periodic features in short‐term power prediction for distributed photovoltaic (PV) farms, a TPE‐CBiGR
Externí odkaz:
https://doaj.org/article/9e7bbb46c3604aaa8109fcee4ea419e8
Publikováno v:
IET Generation, Transmission & Distribution, Vol 18, Iss 20, Pp 3187-3199 (2024)
Abstract For cooperation among distributed generations in a DC microgrid (MG), distributed control is widely applied. However, the delay in distributed communication will result in steady‐state bias and the risk of instability. This paper proposes
Externí odkaz:
https://doaj.org/article/ac88fb4aa0d74c9591b09c7aa1fa3d08
Publikováno v:
IET Generation, Transmission & Distribution, Vol 18, Iss 20, Pp 3161-3169 (2024)
Abstract To devise more scientifically rational interruptible load contracts, this paper introduces a novel model for interruptible load contracts within modern electric power systems, grounded in data mining techniques. Initially, user characteristi
Externí odkaz:
https://doaj.org/article/f46d8df24fa0410d9308b4d63af792ca