Next Article in Journal
Accurate Short-Term Power Forecasting of Wind Turbines: The Case of Jeju Island’s Wind Farm
Next Article in Special Issue
An Improved Droop Control Method for Multi-Terminal VSC-HVDC Converter Stations
Previous Article in Journal
Comprehensive Reactive Power Support of DFIG Adapted to Different Depth of Voltage Sags
Previous Article in Special Issue
Design of Nonlinear Robust Damping Controller for Power Oscillations Suppressing Based on Backstepping-Fractional Order Sliding Mode
Article Menu
Issue 6 (June) cover image

Export Article

Open AccessArticle
Energies 2017, 10(6), 811; doi:10.3390/en10060811

Optimal Placement and Sizing of Renewable Distributed Generations and Capacitor Banks into Radial Distribution Systems

1
Department of Electrical and Electronics Engineering, Universiti Teknologi PETRONAS, Seri Iskandar 32610, Perak Darul Ridzuan, Malaysia
2
Department of Electrical Engineering, Mehran University of Engineering and Technology, Jamshoro 76062, Sindh, Pakistan
*
Author to whom correspondence should be addressed.
Academic Editor: Ying-Yi Hong
Received: 31 January 2017 / Revised: 9 June 2017 / Accepted: 11 June 2017 / Published: 14 June 2017
(This article belongs to the Special Issue Electric Power Systems Research 2017)
View Full-Text   |   Download PDF [2569 KB, uploaded 16 June 2017]   |  

Abstract

In recent years, renewable types of distributed generation in the distribution system have been much appreciated due to their enormous technical and environmental advantages. This paper proposes a methodology for optimal placement and sizing of renewable distributed generation(s) (i.e., wind, solar and biomass) and capacitor banks into a radial distribution system. The intermittency of wind speed and solar irradiance are handled with multi-state modeling using suitable probability distribution functions. The three objective functions, i.e., power loss reduction, voltage stability improvement, and voltage deviation minimization are optimized using advanced Pareto-front non-dominated sorting multi-objective particle swarm optimization method. First a set of non-dominated Pareto-front data are called from the algorithm. Later, a fuzzy decision technique is applied to extract the trade-off solution set. The effectiveness of the proposed methodology is tested on the standard IEEE 33 test system. The overall results reveal that combination of renewable distributed generations and capacitor banks are dominant in power loss reduction, voltage stability and voltage profile improvement. View Full-Text
Keywords: wind and solar modeling; distributed generation; power loss reduction; voltage stability improvement; multi-objective particle swarm optimization. wind and solar modeling; distributed generation; power loss reduction; voltage stability improvement; multi-objective particle swarm optimization.
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Kumar, M.; Nallagownden, P.; Elamvazuthi, I. Optimal Placement and Sizing of Renewable Distributed Generations and Capacitor Banks into Radial Distribution Systems. Energies 2017, 10, 811.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Energies EISSN 1996-1073 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top