Next Article in Journal
A Materials Life Cycle Assessment of a Net-Zero Energy Building
Previous Article in Journal
A Photovoltaic Power System Using a High Step-up Converter for DC Load Applications
Article Menu

Export Article

Correction published on 24 February 2014, see Energies 2014, 7(2), 1048-1049.

Open AccessArticle
Energies 2013, 6(2), 1101-1124; doi:10.3390/en6021101

Game Optimization Theory and Application in Distribution System Expansion Planning, Including Distributed Generation

State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Baoding 071003, China
*
Author to whom correspondence should be addressed.
Received: 15 November 2012 / Revised: 12 January 2013 / Accepted: 29 January 2013 / Published: 21 February 2013
View Full-Text   |   Download PDF [552 KB, uploaded 17 March 2015]   |  

Abstract

Based on Game Theory and Multi-objective optimization problems (MOP), Game Optimization Theory (GOT) is discussed in this paper. Optimization Stability Analysis (OSA), Distance Entropy Multi-Objective Particle Swarm Optimization (DEMPSO) and Fuzzy Multi-weights Decision-making Method (FMW) are proposed as well. Game Optimization Theory, which is a comprehensive system, could not only handle multi-objective optimization problems effectively, but also could offset the disadvantages of traditional optimization theories, such as lack of framework and the insufficient consideration of relevant elements. In this paper GOT is used for the first time in solving the distribution systems planning (DSP) issue by implementing distributed generation. The proposed model integrates costs, losses, and voltage index to achieve optimal size and site of distributed generation. The model allows minimizing total system costs, system power losses and maximizing voltage improvement. A detailed DSP example is used for verifying the effectiveness and reasonableness of GOT in this context. View Full-Text
Keywords: game theory; multi-objects optimization; game optimization theory; distributed generation; distribution system planning game theory; multi-objects optimization; game optimization theory; distributed generation; distribution system planning
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

Supplementary material

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

Li, R.; Ma, H.; Wang, F.; Wang, Y.; Liu, Y.; Li, Z. Game Optimization Theory and Application in Distribution System Expansion Planning, Including Distributed Generation. Energies 2013, 6, 1101-1124.

Show more citation formats Show less citations formats

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