Optimal operation of hybrid electrical and thermal energy storage systems under uncertain loading condition

Hasan Mehrjerdi*, Elyas Rakhshani

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

21 Citations (Scopus)

Abstract

This paper presents a hybrid model of an energy storage system including thermal and electrical energy storage systems in the building with thermal and electrical loads. Building receives its energy from electrical grid and purpose is to reduce the daily energy cost by optimal operation of hybrid energy storage system. Load forecast error is included as uncertainty and both thermal and electrical loads are modeled by Gaussian probability distribution function. The proposed problem for optimal cooperation of hybrid thermal-electrical storage systems is mathematically expressed as mixed integer binary linear programming. The scenario-based stochastic modelling is also included to deal with uncertainty in loading. The expressed stochastic optimization programming minimizes the daily energy cost in building and determines the optimal charging-discharging pattern for both thermal and electrical storage systems at the same time. The results demonstrate that electrical energy storage system reduces the cost about 15%, the thermal energy storage system decreases the cost about 17%, and coordinated thermal-electrical energy storage system reduces the cost about 34%. As a result, the best operation is achieved by the coordinated thermal-electrical energy storage system.

Original languageEnglish
Article number114094
Pages (from-to)1-6
Number of pages6
JournalApplied Thermal Engineering
Volume160
DOIs
Publication statusPublished - 2019

Keywords

  • Electrical energy storage system
  • Hybrid storage
  • Load uncertainty
  • Stochastic programming
  • Thermal energy storage system

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