Zobrazeno 1 - 10
of 64
pro vyhledávání: '"Xingquan Ji"'
Dynamic reconfiguration of three‐phase imbalanced distribution networks considering soft open points
Publikováno v:
Energy Conversion and Economics, Vol 4, Iss 5, Pp 364-377 (2023)
Abstract The characteristics of three‐phase imbalances are present in medium‐ and low‐voltage distribution networks. Integrating single‐phase distributed generation (DG) exacerbates network imbalances, resulting in increased power losses and
Externí odkaz:
https://doaj.org/article/4fe658a6a74a4d96862b6b3bda76e49f
Publikováno v:
Energy Conversion and Economics, Vol 4, Iss 4, Pp 267-275 (2023)
Abstract The interest conflict among entities in the integrated energy system (IES) has a great challenge to operation decisions of IES. With regards to this, an optimal dispatching model of electric‐heat‐hydrogen IES based on Stackelberg game is
Externí odkaz:
https://doaj.org/article/2f2210319f864903a3d78eea4c5ff03b
Publikováno v:
Frontiers in Energy Research, Vol 11 (2023)
This study presents a new methodology to perform the distribution network dynamic reconfiguration (DNDR), taking into consideration the stochastic variations of loads and distributed generation (DG) of power. To solve the heavy computational burden t
Externí odkaz:
https://doaj.org/article/a5535b4ed2ad4c7baa4a416ae3488d47
Fast reconfiguration method of low-carbon distribution network based on convolutional neural network
Publikováno v:
Frontiers in Energy Research, Vol 11 (2023)
The existing meta-heuristic distribution network reconfiguration (DNR) algorithm has excellent optimization ability through iteration. However, it is difficult to realize the large-scale fast calculation and online real-time response of DNR solution.
Externí odkaz:
https://doaj.org/article/918a5903cc0b42c1be56e4e0a20ca0fe
Publikováno v:
Frontiers in Energy Research, Vol 10 (2022)
Inherent dynamic constraints of distributed generations (DGs) and the correlation between injected variables bring great challenges to distribution network operation. In order to improve the degree of coupling and interconnection coordination between
Externí odkaz:
https://doaj.org/article/07feeaed78f047f3a1092ea3cfeca759
Publikováno v:
Systems Science & Control Engineering, Vol 9, Iss S2, Pp 141-150 (2021)
A colour image encryption algorithm based on fractional Lorenz system has been developed in this paper. Firstly, the colour image has been divided into three layers: R, G, and B, and Arnold map has been used for scrambling the three layers separately
Externí odkaz:
https://doaj.org/article/a032cf5c5b4d479c9fc80eb99150727d
Dual Set-Membership State Estimation for Power Distribution Networks Under Event-Triggered Mechanism
Publikováno v:
Frontiers in Energy Research, Vol 10 (2022)
This article is concerned with the set-membership state estimation problem for power distribution networks (PDNs) over a resource-constrained communication network under the influence of unknown but bounded (UBB) noises. Firstly, in order to alleviat
Externí odkaz:
https://doaj.org/article/3288df6626fd48a2965edbc349c5dc30
Publikováno v:
IET Generation, Transmission & Distribution, Vol 14, Iss 13, Pp 2450-2463 (2020)
Finding a global optimal solution to the distribution network reconfiguration (DNR) problem in a short time is a challenging task. This study proposes a real‐time online data‐driven DNR (3DNR) method. Power loss minimisation, lowest bus voltage m
Externí odkaz:
https://doaj.org/article/80995e5c32274063be803b220681e782
Publikováno v:
IEEE Access, Vol 8, Pp 125121-125129 (2020)
Modular multilevel converter based high-voltage DC transmission (MMC-HVDC) technology has become a feasible approach from grid integration of large wind farms. As oscillations has been reported on certain number of MMC-HVDC projects with wind power,
Externí odkaz:
https://doaj.org/article/9bc0378de34444e685457d639f6a3979
Publikováno v:
Journal of Electrical and Computer Engineering, Vol 2020 (2020)
A multi-time scale optimal dispatch model based on the scenario method and model predictive control (MPC) in the AC/DC distribution network is established due to the uncertainty of wind and load. A Markov chain dynamic scenario method is proposed, wh
Externí odkaz:
https://doaj.org/article/c5b86989c42c47fc982616c737aa3909