Storage Aided System Property Enhancing and Hybrid Robust Smoothing for Large-Scale PV Systems

Peng Li, Roger Dargaville, Yuan Cao, Dan-Yong Li, Jing Xia

Research output: Contribution to journalArticleResearchpeer-review

41 Citations (Scopus)

Abstract

This paper presents an energy scheduling and output smoothing scheme for storage aided utility scale photovoltaic systems. A weighted energy scheduling approach is adopted for the peak load periods, and this ensures enhanced performance with well-fitted supply-demand curve and flat net load variation. A novel smoothing method is proposed by blending double grid search support vector machine power prediction with first-in-first-out robust smoothing. The actual hourly and minute interval data sets for Australia are used for case studies, demonstrating the effectiveness and efficiency of the proposed scheme.

Original languageEnglish
Article number7572086
Pages (from-to)2871-2879
Number of pages9
JournalIEEE Transactions on Smart Grid
Volume8
Issue number6
DOIs
Publication statusPublished - 1 Nov 2017
Externally publishedYes

Keywords

  • DGS-SVM
  • energy scheduling
  • PV (solar photovoltaic)
  • robust smoothing
  • storage

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