Pumped storage-based standalone photovoltaic power generation system: Modeling and techno-economic optimization

Tao Ma, Hongxing Yang, Lin Lu, Jinqing Peng

Research output: Journal article publicationJournal articleAcademic researchpeer-review

216 Citations (Scopus)

Abstract

Standalone renewable energy (RE) systems hold the most promising solution to the electrification of remote areas without utility grid access, while a feasible energy storage is a core part for achieving a continuous and reliable power supply since RE is usually intermittent and weather dependent. In the present study, the pumped hydro storage system is proposed, which is considered as a promising technology for solar energy penetration and particularly for small autonomous systems in remote areas. The mathematical models for the major components are developed, and system reliability and economic criteria are discussed as a benchmark for optimization. The genetic algorithm (GA), along with Pareto optimality concept, is used for the system techno-economic optimization: to maximize power supply reliability and minimize system lifecycle cost simultaneously. The proposed methodology is applied on a real remote inhabited island without power supply. System sizing, simulation and optimization are carried out using single-objective and double-objective GA technique. The performance of the optimal case under zero LPSP is examined. This study demonstrates that the proposed models and optimization algorithm is effective and can be used for other similar studies in the future.
Original languageEnglish
Pages (from-to)649-659
Number of pages11
JournalApplied Energy
Volume137
DOIs
Publication statusPublished - 1 Jan 2015

Keywords

  • Cost of energy
  • Pumped storage
  • Solar photovoltaic power generation
  • System modeling
  • Techno-economic optimization

ASJC Scopus subject areas

  • Building and Construction
  • Energy(all)
  • Mechanical Engineering
  • Management, Monitoring, Policy and Law

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