Published January 2012 | Version v1
Journal article

Optimum distributed generation placement with voltage sag effect minimization

  • 1. Department of Electrical Engineering, JIS College of Engineering, Kalyani, West Bengal 741 235 (India)
  • 2. Department of Electrical Engineering, Jadavpur University, Kolkata, West Bengal 700 032 (India)

Description

Highlights: ► A new optimal distributed generation placement algorithm is proposed. ► Optimal number, sizes and locations of the DGs are determined. ► Technical factors like loss, voltage sag problem are minimized. ► The percentage savings are optimized. - Abstract: The present paper proposes a new formulation for the optimum distributed generator (DG) placement problem which considers a hybrid combination of technical factors, like minimization of the line loss, reduction in the voltage sag problem, etc., and economical factors, like installation and maintenance cost of the DGs. The new formulation proposed is inspired by the idea that the optimum placement of the DGs can help in reducing and mitigating voltage dips in low voltage distribution networks. The problem is configured as a multi-objective, constrained optimization problem, where the optimal number of DGs, along with their sizes and bus locations, are simultaneously obtained. This problem has been solved using genetic algorithm, a traditionally popular stochastic optimization algorithm. A few benchmark systems radial and networked (like 34-bus radial distribution system, 30 bus loop distribution system and IEEE 14 bus system) are considered as the case study where the effectiveness of the proposed algorithm is aptly demonstrated.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.enconman.2011.08.020

Additional details

Identifiers

DOI
10.1016/j.enconman.2011.08.020;
PII
S0196-8904(11)00234-2;

Publishing Information

Journal Title
Energy Conversion and Management
Journal Volume
53
Journal Issue
1
Journal Page Range
p. 163-174
ISSN
0196-8904
CODEN
ECMADL

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
43076730
Subject category
S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
Descriptors DEI
ALGORITHMS; MINIMIZATION; POWER LOSSES; POWER TRANSMISSION LINES; SPATIAL DISTRIBUTION; STOCHASTIC PROCESSES
Descriptors DEC
DISTRIBUTION; ENERGY LOSSES; LOSSES; MATHEMATICAL LOGIC; OPTIMIZATION

Optional Information

Copyright
Copyright (c) 2011 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.