An optimization sizing model for solar photovoltaic power generation system with pumped storage

Tao Ma, Hongxing Yang, Lin Lu, Jinqing Peng

Research output: Journal article publicationConference articleAcademic researchpeer-review

12 Citations (Scopus)

Abstract

In this study, a novel sizing model for the solar photovoltaic system with pumped storage is proposed, to optimize the capacity of the PV generator and pumped storage system for power supply in remote areas. The genetic algorithm is then employed to optimize sizing system with respect to the system total cost. The variables considered in the optimization process include PV module number, upper reservoir size and water pump size. With the developed model, a technically and economically feasible power supply solution can be achieved easily. The proposed model is finally applied to a case study on renewable energy power generation system for an island, and the optimization performance has been demonstrated.
Original languageEnglish
Pages (from-to)5-8
Number of pages4
JournalEnergy Procedia
Volume61
DOIs
Publication statusPublished - 1 Jan 2014
Event6th International Conference on Applied Energy, ICAE 2014 - National Taiwan University of Science and Technology, Taipei, Taiwan
Duration: 30 May 20142 Jun 2014

Keywords

  • Cost of energy
  • Optimization sizing
  • Remote area
  • Renewable energy power generation

ASJC Scopus subject areas

  • Energy(all)

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