Gravitational Search Algorithm Optimization for short-term hydrothermal scheduling

Aniruddha Bhattacharya, Shatadru Datta, A. Bhattacharya, Meheli Basu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

This paper presents Gravitational Search Algorithm Optimization or GSA technique to solve short term hydrothermal scheduling problems, considering most of the practical operating constraints. The algorithm, which is inspired by Newton's laws of gravity and mass interaction, the searcher agents are a collection of masses that interact with each other using laws of gravity and motion. The simulation results obtained by the proposed algorithm demonstrate that the new GSA algorithm outperforms the other techniques in terms of convergence speed and global search ability.

Original languageEnglish (US)
Title of host publicationProceedings - ICETEEEM 2012, International Conference on Emerging Trends in Electrical Engineering and Energy Management
Pages216-221
Number of pages6
DOIs
StatePublished - 2012
Externally publishedYes
EventInternational Conference on Emerging Trends in Electrical Engineering and Energy Management, ICETEEEM 2012 - Chennai, Tamil Nadu, India
Duration: Dec 13 2012Dec 15 2012

Publication series

NameProceedings - ICETEEEM 2012, International Conference on Emerging Trends in Electrical Engineering and Energy Management

Conference

ConferenceInternational Conference on Emerging Trends in Electrical Engineering and Energy Management, ICETEEEM 2012
Country/TerritoryIndia
CityChennai, Tamil Nadu
Period12/13/1212/15/12

Keywords

  • gravitational mass
  • Gravitational Search Algorithm optimization
  • Hydrothermal Scheduling
  • inertial mass

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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