Autonomous hybrid renewable energy system optimization for minimum cost

Abhishek Kumar, Bikash Sah, Yan Deng, Xiangning He, R. C. Bansal, Praveen Kumar

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

Abstract

The concept of microgrids based on locally available renewable energy sources (RES) is becoming very popular in remote locations. They are going to play a significant role in future power systems providing economical, reliable and environmental benefits as compare to the existing power systems. But it can be only achieved by providing considerable attention and efforts to resolve the copious economic, commercial, and technical challenges incurred in their development. This work presents an economic evaluation considering the installation and operating cost of such a microgrid for remote terrains. An optimization problem is formulated for capital cost and running costs. A comparative cost analysis of different configurations of hybrid renewable energy resource system (HRES) is carried out using practical data. It is found that hybrid energy system consisting of solar/wind/diesel generator along with battery is the most feasible system. With the appearance of such microgrids the current way of expanding the electricity demand will revolutionize, exclusively for remote location being served below par by the customary power system.

Original languageEnglish
Title of host publicationIET Conference Publications
PublisherInstitution of Engineering and Technology
EditionCP679
ISBN (Electronic)9781785610400
StatePublished - 2015
Externally publishedYes
EventInternational Conference on Renewable Power Generation, RPG 2015 - Beijing, China
Duration: Oct 17 2015Oct 18 2015

Publication series

NameIET Conference Publications
NumberCP679
Volume2015

Conference

ConferenceInternational Conference on Renewable Power Generation, RPG 2015
Country/TerritoryChina
CityBeijing
Period10/17/1510/18/15

Keywords

  • Capital cost and running cost
  • Hybrid energy resource system
  • Microgrid
  • Optimization

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