Citation

BibTex format

@article{Mokryani:2016:10.1049/iet-rpg.2015.0334,
author = {Mokryani, G and Majumdar, ANKUR and Pal, BC},
doi = {10.1049/iet-rpg.2015.0334},
journal = {IET Renewable Power Generation},
pages = {944--954},
title = {A Probabilistic Method for the Operation of Three-Phase Unbalanced Active Distribution Networks},
url = {http://dx.doi.org/10.1049/iet-rpg.2015.0334},
volume = {10},
year = {2016}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - This paper proposes a probabilistic multi-objective optimization method for the operation of three-phase distribution networks incorporating active network management (ANM) schemes including coordinated voltage control and adaptive power factor control. The proposed probabilistic method incorporates detailed modelling of three-phase distribution network components and considers different operational objectives. The method simultaneously minimizes the total energy losses of the lines from the point of view of distribution network operators (DNOs) and maximizes the energy generated by photovoltaic (PV) cells considering ANM schemes and network constraints. Uncertainties related to intermittent generation of PVs and load demands are modelled by probability density functions (PDFs). Monte Carlo simulation method is employed to use the generated PDFs. The problem is solved using -constraint approach and fuzzy satisfying method is used to select the best solution from the Pareto optimal set. The effectiveness of the proposed probabilistic method is demonstrated with IEEE 13- and 34- bus test feeders.
AU - Mokryani,G
AU - Majumdar,ANKUR
AU - Pal,BC
DO - 10.1049/iet-rpg.2015.0334
EP - 954
PY - 2016///
SN - 1752-1416
SP - 944
TI - A Probabilistic Method for the Operation of Three-Phase Unbalanced Active Distribution Networks
T2 - IET Renewable Power Generation
UR - http://dx.doi.org/10.1049/iet-rpg.2015.0334
UR - http://hdl.handle.net/10044/1/29451
VL - 10
ER -