IET Generation, Transmission & Distribution is intended as a forum for the publication and discussion of current practice and future developments in electric power generation, transmission and distribution. Practical papers in which examples of good present practice can be described and disseminated are particularly sought. Papers of high technical merit relying on mathematical arguments and computation will be considered, but authors are asked to relegate, as far as possible, the details of analysis to an appendix. The scope of the journal includes the following: Design of transmission and distribution plants; Operation and control of power generation; Power system management and planning; Power system operation and control; Power system measurement and correction; Computer applications and computational intelligence in power flexible AC transmission systems.
IET Generation, Transmission & Distribution
Description
Identifiers
ISSN | 1751-8687 |
e-ISSN | 1751-8695 |
Publisher
IET
Additional information
Data set: ieee
Title history
Articles
IET Generation, Transmission & Distribution > 2017 > 11 > 17 > 4384 - 4390
This study proposes a decentralised droop control method for guaranteeing precise load sharing among distributed resources in an islanded microgrid. Distributed resources are usually fed through power electronic converters and the switching harmonics produced by them are eliminated by third-order output LCL filters. Output impedance is considered as a major factor for finding exact power-angle droop...
IET Generation, Transmission & Distribution > 2017 > 11 > 17 > 4193 - 4201
This study addresses the distributed economic dispatch problem for DC microgrids when time-varying delays are present in communication networks. A novel distributed algorithm is proposed, and the proposed controller contains a distributed generation cost optimisation module and a voltage regulation module. The cost optimisation module is aimed to realise cost optimisation by driving the incremental...
IET Generation, Transmission & Distribution > 2017 > 11 > 17 > 4146 - 4157
Multi-objective optimisation of capacity planning for a grid-connected Microgrid (MG) with multi-energy demands is developed in this study. The optimal multi-energy coordinated scheduling, in which uncertainties of renewable energy generation and electricity demand are described by uncertainty intervals, is considered within the capacity planning model. To solve the capacity planning problem while...