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

doi:10.1109/PESGM40551.2019.8973702

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

Building Technologies and Science Center

Research output: Contribution to conference › Paper › peer-review

4 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 language	American English
Number of pages	5
DOIs	https://doi.org/10.1109/PESGM40551.2019.8973702 https://doi.org/10.1109/PESGM40551.2019.8973702
State	Published - Aug 2019
Event	2019 IEEE Power and Energy Society General Meeting, PESGM 2019 - Atlanta, United States Duration: 4 Aug 2019 → 8 Aug 2019

Conference

Conference	2019 IEEE Power and Energy Society General Meeting, PESGM 2019
Country/Territory	United States
City	Atlanta
Period	4/08/19 → 8/08/19

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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Odukomaiya, A., Chen, Y., Omitaomu, O., Hu, M., Kassaee, S., O'Connor, P., Momen, A., Smith, B., & Liu, X. (2019). Allocation and Operation of A Hydropneumatic Energy Storage with Building Microgrid. Paper presented at 2019 IEEE Power and Energy Society General Meeting, PESGM 2019, Atlanta, United States. https://doi.org/10.1109/PESGM40551.2019.8973702, https://doi.org/10.1109/PESGM40551.2019.8973702

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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.",

keywords = "GLIDES, Modular Pump Hydro Storage, Sample Average Approximation, Two-Stage Stochastic Programming",

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

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE Power and Energy Society General Meeting, PESGM 2019 ; Conference date: 04-08-2019 Through 08-08-2019",

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doi = "10.1109/PESGM40551.2019.8973702",

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Odukomaiya, A, Chen, Y, Omitaomu, O, Hu, M, Kassaee, S, O'Connor, P, Momen, A, Smith, B & Liu, X 2019, 'Allocation and Operation of A Hydropneumatic Energy Storage with Building Microgrid', Paper presented at 2019 IEEE Power and Energy Society General Meeting, PESGM 2019, Atlanta, United States, 4/08/19 - 8/08/19. https://doi.org/10.1109/PESGM40551.2019.8973702, https://doi.org/10.1109/PESGM40551.2019.8973702

TY - CONF

T1 - Allocation and Operation of A Hydropneumatic Energy Storage with Building Microgrid

AU - Odukomaiya, Adewale

AU - Chen, Yang

AU - Omitaomu, Olufemi

AU - Hu, Mengqi

AU - Kassaee, Saiid

AU - O'Connor, Patrick

AU - Momen, Ayyoub

AU - Smith, Brennan

AU - Liu, Xiaobing

PY - 2019/8

Y1 - 2019/8

N2 - 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.

AB - 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.

KW - GLIDES

KW - Modular Pump Hydro Storage

KW - Sample Average Approximation

KW - Two-Stage Stochastic Programming

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U2 - 10.1109/PESGM40551.2019.8973702

DO - 10.1109/PESGM40551.2019.8973702

M3 - Paper

AN - SCOPUS:85079030377

T2 - 2019 IEEE Power and Energy Society General Meeting, PESGM 2019

Y2 - 4 August 2019 through 8 August 2019

ER -

Allocation and Operation of A Hydropneumatic Energy Storage with Building Microgrid

Abstract

Conference

Bibliographical note

NREL Publication Number

Keywords

UN SDGs

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