Allocation and Operation of A Hydropneumatic Energy Storage with Building Microgrid

Adewale Odukomaiya, Yang Chen, Olufemi Omitaomu, Mengqi Hu, Saiid Kassaee, Patrick O'Connor, Ayyoub Momen, Brennan Smith, Xiaobing Liu

Research output: Contribution to conferencePaperpeer-review

3 Scopus Citations

Abstract

Behind-meter application for a recently invented hydropneumatic Ground-Level Integrated Diverse Energy Storage (GLIDES) is focused in this research. Considering possible uncertainties from solar radiation and electricity load in a building microgrid, two-stage stochastic programming is adopted for 15-min operation and a mixed-integer nonlinear stochastic model is built with integrated energy systems of GLIDES, solar panel and power generating unit. In order to make the model computationally tractable, we use sample average approximate method to decrease associated complexity with sample size and improve solving efficiency. The experimental results in deterministic and stochastic operation indicate that best candidate solution from SAA are superior to the solution from expected value problem in terms of optimality gap and variance.

Original languageAmerican English
Number of pages5
DOIs
StatePublished - Aug 2019
Event2019 IEEE Power and Energy Society General Meeting, PESGM 2019 - Atlanta, United States
Duration: 4 Aug 20198 Aug 2019

Conference

Conference2019 IEEE Power and Energy Society General Meeting, PESGM 2019
Country/TerritoryUnited States
CityAtlanta
Period4/08/198/08/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

NREL Publication Number

  • NREL/CP-5500-76230

Keywords

  • GLIDES
  • Modular Pump Hydro Storage
  • Sample Average Approximation
  • Two-Stage Stochastic Programming

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