Results 51 to 60 of about 176 (162)
A multi‐source data collaborative fault section identification method for high fault‐tolerant distribution networks is proposed. The method constructs a robust mixed‐integer linear programming cooperative model by integrating zero‐sequence current direction features and fault indicator alarm signals.
Wangqing Mao +5 more
wiley +1 more source
Novel reclosure scheme of MMC-HVDC system based on characteristic signal injection
Adaptive reclosing of AC line discriminates temporary faults and permanent faults by the coupling relationship between fault phase and the sound phase.
Ting Wang +6 more
doaj +1 more source
The paper explains the issue of managing and recovering DC faults in bipolar hybrid cascaded MTDC systems, the combination of LCCs to achieve power density and MMCs to provide flexible control in long‐distance power transmission, and the integration of large‐scale renewable energy sources. The paper examines fault behaviours in the LCC section, LCC‐MMC
Muhammad Asim Mond, Zhou Li, Wenwen Mei
wiley +1 more source
Advanced Hosting Capacity Assessment in Distribution Systems Using a Centralised HIL‐Based Setup
The paper proposes a two‐stage framework for assessing distributed energy resource (DER) hosting capacity that combines an initial optimisation‐based estimate with real‐time validation using a centralised IEC 61850–compliant Hardware‐in‐the‐Loop (HIL) platform and a digital twin of the IEEE 33‐bus system.
Meysam Pashaei +3 more
wiley +1 more source
This paper presents an algorithm for adaptive determination of the dead timeduring transient arcing faults and blocking automatic reclosing during permanent faults onoverhead transmission lines.
S. Jamali, A. Parham
doaj
Half-bridge modular multilevel converter (HBMMC) based direct current (DC) grids, using overhead lines and DC circuit breakers (CBs), face an urgent demand for selective reclosing methods due to the high DC line fault-probability and the limited ...
Yu Wang +6 more
doaj +1 more source
The proposed heuristic expo support vector (h‐EXPO‐SV) machine learning algorithm successfully differentiates between islanding and non‐islanding events, which helps to prevent avoidable DG malfunctions. ABSTRACT Islanding detection has become a serious concern due to the extensive integration of renewable energy sources with the main grid.
Sachin Pachauri +2 more
wiley +1 more source
High penetration distributed generation (DG) in power grids has placed greater demands on power supply recovery in distribution network fault scenarios.
WANG Ruoqi, HU Yan, YANG Zengli, WANG Jing, WU Di, ZHANG Zhen
doaj +1 more source
By focussing on the limitations of fixed dead time (DT) in conventional reclosing methods, this paper highlights its significant adverse impact on transient stability of distributed energy resources (DERs) in microgrid. This vulnerability is particularly
Hamed Aghabeigi +2 more
doaj +1 more source
Reliable fault-nature identification before DC-line reclosing is essential for overhead VSC-HVDC transmission from desert–Gobi–wasteland renewable energy bases because reclosing into a permanent fault may impose severe secondary stresses on converters ...
Shangjun Yang, Bingyuan Yang, Shuai Yang
doaj +1 more source

