Open AccessOptimal capacitor placement in distribution networks regarding uncertainty in active power load and distributed generation units production
Author(s) -
Jannat Mohamed B.,
Savić Aleksandar S.
Publication year - 2016
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2016.0192
Subject(s) - renewable energy , capacitor , mathematical optimization , computer science , wind power , distributed generation , monte carlo method , sorting , ac power , genetic algorithm , voltage , reliability engineering , engineering , electrical engineering , mathematics , algorithm , statistics
The paper proposes a new method for optimal allocation of shunt capacitors in distribution network with renewable distributed generation units such as wind turbines and/or solar power plants. The proposed method, based on application of the Monte Carlo simulation methods, respects the uncertainties associated with load demand and renewable sources power production. The optimisation problem is modelled by two criterion functions with the aim of improving voltage profile in a network by optimal selection of the locations and installed powers of the shunt capacitors. The suggested criterion functions have been optimised simultaneously by applying the non‐dominated sorting genetic algorithm. On the basis of the measured data on wind speed and solar radiation, the method has been tested by the example of a real distribution network.