IET Generation Transmission & Distribution

Papers
(The H4-Index of IET Generation Transmission & Distribution is 28. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-11-01 to 2024-11-01.)
ArticleCitations
Network‐constrained unit commitment‐based virtual power plant model in the day‐ahead market according to energy management strategy99
An innovative technique for optimization and sensitivity analysis of a PV/DG/BESS based on converged Henry gas solubility optimizer: A case study63
State‐of‐the‐art review on power system resilience and assessment techniques62
A survey on the development status and application prospects of knowledge graph in smart grids62
Deep learning‐based SCUC decision‐making: An intelligent data‐driven approach with self‐learning capabilities62
Disturbance observer aided optimised fractional‐order three‐degree‐of‐freedom tilt‐integral‐derivative controller for load frequency control of power systems56
Optimal day‐ahead scheduling of multiple integrated energy systems considering integrated demand response, cooperative game and virtual energy storage49
Fuel cell‐based topologies and multi‐input DC–DC power converters for hybrid electric vehicles: A comprehensive review48
Multi‐objective operation of distributed generations and thermal blocks in microgrids based on energy management system47
Impact of distributed generation on the protection systems of distribution networks: analysis and remedies – review paper46
An overview of stability challenges for power‐electronic‐dominated power systems: The grid‐forming approach46
Classification of insulators using neural network based on computer vision46
Optimal distributed generation and battery energy storage units integration in distribution systems considering power generation uncertainty45
Modified incremental conductance MPPT algorithm for SPV‐based grid‐tied and stand‐alone systems42
An energy optimal schedule method for distribution network considering the access of distributed generation and energy storage39
Optimal demand response strategy of commercial building‐based virtual power plant using reinforcement learning38
Failure of submarine cables used in high‐voltage power transmission: Characteristics, mechanisms, key issues and prospects38
A tactical scheduling framework for wind farm‐integrated multi‐energy systems to take part in natural gas and wholesale electricity markets as a price setter37
Solution of constrained mixed‐integer multi‐objective optimal power flow problem considering the hybrid multi‐objective evolutionary algorithm34
Exploring cybersecurity issues in 5G enabled electric vehicle charging station with deep learning34
Efficient CNN‐XGBoost technique for classification of power transformer internal faults against various abnormal conditions33
Optimal planning of inverter‐based renewable energy sources towards autonomous microgrids accommodating electric vehicle charging stations32
Local energy markets design for integrated distribution energy systems based on the concept of transactive peer‐to‐peer market31
Measurement and monitoring of overhead transmission line sag in smart grid: A review31
A lightweight smart contracts framework for blockchain‐based secure communication in smart grid applications31
Intelligent energy management scheme‐based coordinated control for reducing peak load in grid‐connected photovoltaic‐powered electric vehicle charging stations30
Detection of bird species related to transmission line faults based on lightweight convolutional neural network29
Revolutionizing photovoltaic consumption and electric vehicle charging: A novel approach for residential distribution systems28
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