A generic framework for distributed multi-generation and multi-storage energy systems

Kaveh Rajab Khalilpour, Anthony Vassallo

Research output: Contribution to journalArticleResearchpeer-review

Abstract

We have introduced a generic decision support tool for concurrent optimal selection, sizing, and operation scheduling of grid-connected or off-grid multi-generation/multi-storage distributed generation and storage (DGS) systems with respect to the dynamics of historical/projected periodical weather data, electricity price, DGS system cost, DGS aging, and the major critical design and operational parameters. This decision support program enables the consumer (ranging from a small house to large-scale industrial plants) to implement the most efficient electricity management strategy while achieving the goal of minimizing the electricity bill.

Original languageEnglish
Pages (from-to)798-813
Number of pages16
JournalEnergy
Volume114
DOIs
Publication statusPublished - 1 Nov 2016
Externally publishedYes

Keywords

  • Distributed generation and storage (DGS)
  • Energy storage
  • Microgrid
  • Multi-energy systems (MES)
  • Nanogrid
  • Polygeneration
  • Smart grid

Cite this

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abstract = "We have introduced a generic decision support tool for concurrent optimal selection, sizing, and operation scheduling of grid-connected or off-grid multi-generation/multi-storage distributed generation and storage (DGS) systems with respect to the dynamics of historical/projected periodical weather data, electricity price, DGS system cost, DGS aging, and the major critical design and operational parameters. This decision support program enables the consumer (ranging from a small house to large-scale industrial plants) to implement the most efficient electricity management strategy while achieving the goal of minimizing the electricity bill.",
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A generic framework for distributed multi-generation and multi-storage energy systems. / Khalilpour, Kaveh Rajab; Vassallo, Anthony.

In: Energy, Vol. 114, 01.11.2016, p. 798-813.

Research output: Contribution to journalArticleResearchpeer-review

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