Minimizing the electricity cost of coordinating houses on microgrids

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4 Scopus citations

Abstract

This manuscript presents a comprehensive mathematical model for multi-objective optimization problem of the microgrid. The microgrid consists of houses and local plants, each seen as independent agents with their specific goals. We, also, propose a heuristic algorithm for optimizing the electricity cost by using the concept of load shifting and renewable power sharing among houses in the microgrid for a particular price. The proposed algorithm also minimizes the loss of energy by prioritizing power exchange between houses and minimize discomfort factor. The findings show that houses and micro plants working in microgrid setting can make significant savings. The results also illustrate that the algorithm guarantees that no agent will lose in the microgrid.

Original languageEnglish
Title of host publicationISGT Europe 2016 - IEEE PES Innovative Smart Grid Technologies, Europe
PublisherIEEE Computer Society
ISBN (Electronic)9781509033584
DOIs
StatePublished - 2 Jul 2016
Externally publishedYes
Event2016 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT Europe 2016 - Ljubljana, Slovenia
Duration: 9 Oct 201612 Oct 2016

Publication series

NameIEEE PES Innovative Smart Grid Technologies Conference Europe

Conference

Conference2016 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT Europe 2016
Country/TerritorySlovenia
CityLjubljana
Period9/10/1612/10/16

Keywords

  • energy management
  • home automation
  • Microgrid
  • optimization algorithm
  • resource allocation

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