multi-objective based optimization using tap setting transformer, dg and capacitor placement in distribution networks

Authors
abstract

in this article, a multi-objective function for placement of distributed generation (dg) and capacitors with thetap setting of under load tap changer (ultc) transformer is introduced. most of the recent articles have paidless attention to dg, capacitor placement and ultc effects in the distribution network simultaneously. insimulations, a comparison between different modes was carried out with, and without tap setting of ultc.simultaneous dg, capacitor placement, and ultc transformer tap setting improve the voltage profile of loadbuses globally. in addition, they can also reduce loss and increase available transfer capability (atc). theieee 41-bus radial distribution network is used to illustrate the effectiveness and feasibility of the proposedapproach.

Upgrade to premium to download articles

Sign up to access the full text

Already have an account?login

similar resources

Multi-objective Based Optimization Using Tap Setting Transformer, DG and Capacitor Placement in Distribution Networks

In this article, a multi-objective function for placement of Distributed Generation (DG) and capacitors with thetap setting of Under Load Tap Changer (ULTC) Transformer is introduced. Most of the recent articles have paidless attention to DG, capacitor placement and ULTC effects in the distribution network simultaneously. Insimulations, a comparison between different modes was carried out with,...

full text

Simultaneous Placement of Capacitor and DG in Distribution Networks Using Particle Swarm Optimization Algorithm

Nowadays, using distributed generation (DG) resources, such as wind and solar, also improving the voltage profile in distribution companies has been considered. As optimal placement and sizing of shunt capacitors become more prevalent, utilities want to determine the impact of the various capacitors placement in distribution systems. Locating and determining the optimal capacity of shunt capaci...

full text

Application of Multi Objective HFAPSO algorithm for Simultaneous Placement of DG, Capacitor and Protective Device in Radial Distribution Network

In this paper, simultaneous placement of distributed generation, capacitor bank and protective devices are utilized to improve the efficiency of the distribution network. The objectives of the problem are reduction of active and reactive power losses, improvement of voltage profile and reliability indices and increasing distribution companies’ profit. The combination of firefly algorithm, parti...

full text

multi-objective placement of capacitor banks in distribution system using bee colony optimization algorithm

optimal sitting and sizing of shunt capacitor banks at the distribution networks for the purpose of power quality improvement is drawn much attention of electric power utilities in the last decades. determining the optimal number, location and sizing of capacitor using bee colony optimization algorithm (bco) is being presented in this paper. the bco algorithm is a new population based meta-heur...

full text

Multi-objective Grasshopper Optimization Algorithm based Reconfiguration of Distribution Networks

Network reconfiguration is a nonlinear optimization procedure which calculates a radial structure to optimize the power losses and improve the network reliability index while meeting practical constraints. In this paper, a multi-objective framework is proposed for optimal network reconfiguration with the objective functions of minimization of power losses and improvement of reliability index. T...

full text

application of multi objective hfapso algorithm for simultaneous placement of dg, capacitor and protective device in radial distribution network

in this paper, simultaneous placement of distributed generation, capacitor bank and protective devices are utilized to improve the efficiency of the distribution network. the objectives of the problem are reduction of active and reactive power losses, improvement of voltage profile and reliability indices and increasing distribution companies’ profit. the combination of firefly algorithm, parti...

full text

My Resources

Save resource for easier access later


Journal title:
journal of artificial intelligence in electrical engineering

جلد ۱، شماره ۲، صفحات ۸-۱۶

Hosted on Doprax cloud platform doprax.com

copyright © 2015-2023