Power Loss Minimization in Distribution System Using Network Reconfiguration with Particle Swarm Optimization

نویسندگان

  • A. V. Sudhakara Reddy
  • Bhargava Reddy
چکیده

Reconfiguration of radial distribution system is significant way of altering the power flow through lines. This paper presents a new method to solve the network reconfiguration problem with an objective of minimizing real power loss and improving voltage profile in radial distribution system(RDS). A Meta-heuristic Particle Swarm Optimization (PSO) is used to reconfigure and identify the optimal tie switches for minimization of real power loss in a distribution network. Different scenarios of reconfiguration of distributed network are considered to study the performance of the proposed method. The constraints of voltage and branch current carrying capacity are included in the evaluation of the fitness or objective function. The method has been tested on 33-bus at four different load levels to demonstrate the performance and effectiveness of the proposed method. The results obtained, shows that improvement in voltages and reduced losses.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Optimal Reconfiguration of Distribution Network for Power Loss Reduction and Reliability Improvement Using Bat Algorithm

In power systems, reconfiguration is one of the simplest and most low-cost methods to reach many goals such as self-healing, reliability improvement, and power loss reduction, without including any additional components. Regarding the expansion of distribution networks, communications become more complicate and the number of parameters increases, which makes the reconfiguration problem infeasib...

متن کامل

A SAIWD-Based Approach for Simultaneous Reconfiguration and Optimal Siting and Sizing of Wind Turbines and DVR units in Distribution Systems

In this paper, a combination of simulated annealing (SA) and intelligent water drops (IWD) algorithm is used to solve the nonlinear/complex problem of simultaneous reconfiguration with optimal allocation (size and location) of wind turbine (WT) as a distributed generation (DG) and dynamic voltage restorer (DVR) as a distributed flexible AC transmission systems (DFACT) unit in a distribution sys...

متن کامل

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...

متن کامل

Optimal Capacitor Allocation in Radial Distribution Networks for Annual Costs Minimization Using Hybrid PSO and Sequential Power Loss Index Based Method

In the most recent heuristic methods, the high potential buses for capacitor placement are initially identified and ranked using loss sensitivity factors (LSFs) or power loss index (PLI). These factors or indices help to reduce the search space of the optimization procedure, but they may not always indicate the appropriate placement of capacitors. This paper proposes an efficient approach for t...

متن کامل

Optimal Feeder Reconfiguration and DG Placement in Distribution Network

This paper presents an efficient algorithm for network reconfiguration associated with DG allocation to minimize real power losses in radial distribution networks. A modified Binary Particle Swarm Optimization algorithm, called Selective Particle Swarm Optimization algorithm (SPSO), is used to solve network reconfiguration problem. Allocation of DG units has been done by sensitivity analysis. A...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2015