Impedance Estimation with an Enhanced Particle Swarm Optimization for Low-Voltage Distribution Networks
Many researchers in recent years have studied voltage deviation issues in distribution networks. Characterizing the impedance between consuming nodes in a network is the key to controlling the network voltage. Existing impedance estimation methods are faced with three challenges: time synchronized m...
Main Authors: | Daisuke Kodaira, Jingyeong Park, Sung Yeol Kim, Soohee Han, Sekyung Han |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-03-01
|
Series: | Energies |
Subjects: | |
Online Access: | https://www.mdpi.com/1996-1073/12/6/1167 |
Similar Items
-
Adaptive Power Flow Prediction Based on Machine Learning
by: Jingyeong Park, et al.
Published: (2021-06-01) -
VSG Control Strategy Incorporating Voltage Inertia and Virtual Impedance for Microgrids
by: Zipeng Ke, et al.
Published: (2020-08-01) -
Particle Swarm Optimization with Independent Adaptive Parameter Adjustment
by: ZHANG Qiwen, WEI Yachen
Published: (2020-04-01) -
DIVERSE DEPICTION OF PARTICLE SWARM OPTIMIZATION FOR DOCUMENT CLUSTERING
by: K. Premalatha, et al.
Published: (2011-01-01) -
Effect of Acceleration Coefficient on Particle Swarm optimization for Task Scheduling in Cloud Computing
by: Nagresh Kumar
Published: (2021-07-01)