Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Fengzhan Zhao"'
Publikováno v:
2022 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia).
Publikováno v:
Mathematical Problems in Engineering, Vol 2021 (2021)
In order to improve the accuracy of theoretical energy loss calculation in low voltage distribution area (LV-area), this paper proposes a new prediction method based on variational mode decomposition (VMD) and particle swarm optimization (PSO) least
Autor:
Tingting Zhao, Fengzhan Zhao, Xiping Ma, Juan Su, Du Songhuai, Yu Zhang, Youzhen Liang, Shuai Hao
Publikováno v:
2019 9th International Conference on Power and Energy Systems (ICPES).
High-accuracy and fast detection of voltage fluctuation and flicker is the basis of analyzing the flicker event and controlling its hazards. Here, a new method based on the Blackman-windowed short time Fourier transform (B-STFT) is proposed for the d
Publikováno v:
2019 9th International Conference on Power and Energy Systems (ICPES).
The traditional evaluation method of distribution network reliability is based on the statistical average values of all the distribution load points. The power supply reliability level of a single distribution load point can’t be achieved. Moreover
Autor:
Shuai Hao, Yu Zhang, Wei Zhang, Fengzhan Zhao, Yuanhong Liu, Yinong Li, Xincong Li, Mingze Zhang, Tao Wei
Publikováno v:
2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia).
With a large number of distributed generations connected to the distribution network, how to quantify their impacts on power supply reliability has become a new research issue. In this paper, the contribution index of distributed generation is define
Autor:
Fengzhan Zhao, Weicheng Shen, Du Songhuai, Yu Zhang, Zhang Guangru, Juan Su, Liu Lijuan, Zhen Wenxi, Shuai Hao
Publikováno v:
2018 International Conference on Power System Technology (POWERCON).
Grid-connected microgrid contains controllable micro-sources (CMS) which have different time characteristics. In order to dispatch the energy in microgrid more effectively, a multi-time scale control strategy based on model predictive control (MPC) m
Publikováno v:
Zhao, F, Zhao, T, Ju, Y, Ma, K & Zhou, X 2018, ' Research on Three-phase Optimal Power Flow for Distribution Networks Based on Constant Hessian Matrix ', IET Generation, Transmission and Distribution, vol. 12, no. 1, 241 . https://doi.org/10.1049/iet-gtd.2017.0889
The optimal power flow (OPF) problem for active distribution networks with distributed generation (DG) and a variety of discretely adjustable devices (e.g., on-load tap-changers, OLTCs) is essentially a non-convex, nonlinear, mixedinteger optimizatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a94059369163e12bf653724128ac3698
https://purehost.bath.ac.uk/ws/files/157670372/Research_on_Three_phase_optimal_power_flow_for_distribution_networks_based_on_Constant_Hessian_Matrix.pdf
https://purehost.bath.ac.uk/ws/files/157670372/Research_on_Three_phase_optimal_power_flow_for_distribution_networks_based_on_Constant_Hessian_Matrix.pdf
Publikováno v:
Communications in Computer and Information Science ISBN: 9789811063879
ICPCSEE (2)
ICPCSEE (2)
In this paper, a method of power quality disturbance classification based on random matrix theory (RMT) is proposed. The method utilizes the power quality disturbance signal to construct a random matrix. By analyzing the mean spectral radius (MSR) va
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc2c27e2ee2dfc5a45f06148224f0754
https://doi.org/10.1007/978-981-10-6388-6_30
https://doi.org/10.1007/978-981-10-6388-6_30
Autor:
Fengzhan Zhao, Rengang Yang
Publikováno v:
IEEE Transactions on Power Delivery. 22:944-950
Taking advantage of S-transforms (STs), this paper proposes a new method of detecting and classifying power-quality disturbances. The ST is unique in that it provides frequency-dependent resolution while maintaining a direct relationship with the Fou
Publikováno v:
2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS); 2016, p1-6, 6p