Allocation and Operation of A Hydropneumatic Energy Storage with Building Microgrid
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.
Citation Formats
TY - DATA
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.
AU - Chen, Yang
A2 - Omitaomu, Olufemi
A3 - Hu, Mengqi
A4 - Kassaee, Saiid
A5 - Odukomaiya, Adewale
A6 - O'Connor, Patrick
A7 - Momen, Ayyoub
A8 - Smith, Brennan
A9 - Liu, Xiaobing
DB - C-MIX - Community Microgrid Information Exchange
DP - Open EI | National Laboratory of the Rockies
DO - 10.1109/PESGM40551.2019.8973702
KW - Hydropower
KW - Marine energy
KW - Marine hydrokinetic
KW - Ocean energy
KW - Battery energy storage
KW - Solar
KW - Photovoltaics
KW - PV
KW - Diesel generators
KW - Other liquid-fuel generators
KW - Maintenance and operations
KW - Operations
KW - Maintenance
KW - Commissioning
KW - Case studies
KW - Performance
KW - Local energy resources (LER)
LA - English
DA - 2019/08/01
PY - 2019
PB - Oak Ridge National Laboratory
T1 - Allocation and Operation of A Hydropneumatic Energy Storage with Building Microgrid
UR - https://doi.org/10.1109/PESGM40551.2019.8973702
ER -
Chen, Yang, et al. Allocation and Operation of A Hydropneumatic Energy Storage with Building Microgrid. Oak Ridge National Laboratory, 1 August, 2019, C-MIX - Community Microgrid Information Exchange. https://doi.org/10.1109/PESGM40551.2019.8973702.
Chen, Y., Omitaomu, O., Hu, M., Kassaee, S., Odukomaiya, A., O'Connor, P., Momen, A., Smith, B., & Liu, X. (2019). Allocation and Operation of A Hydropneumatic Energy Storage with Building Microgrid. [Data set]. C-MIX - Community Microgrid Information Exchange. Oak Ridge National Laboratory. https://doi.org/10.1109/PESGM40551.2019.8973702
Chen, Yang, Olufemi Omitaomu, Mengqi Hu, Saiid Kassaee, Adewale Odukomaiya, Patrick O'Connor, Ayyoub Momen, Brennan Smith, and Xiaobing Liu. Allocation and Operation of A Hydropneumatic Energy Storage with Building Microgrid. Oak Ridge National Laboratory, August, 1, 2019. Distributed by C-MIX - Community Microgrid Information Exchange. https://doi.org/10.1109/PESGM40551.2019.8973702
@misc{CMIX_Dataset_97,
title = {Allocation and Operation of A Hydropneumatic Energy Storage with Building Microgrid},
author = {Chen, Yang and Omitaomu, Olufemi and Hu, Mengqi and Kassaee, Saiid and Odukomaiya, Adewale and O'Connor, Patrick and Momen, Ayyoub and Smith, Brennan and Liu, Xiaobing},
abstractNote = {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.},
url = {https://cmix.openei.org/submissions/97},
year = {2019},
howpublished = {C-MIX - Community Microgrid Information Exchange, Oak Ridge National Laboratory, https://doi.org/10.1109/PESGM40551.2019.8973702},
note = {Accessed: 2026-06-20},
doi = {10.1109/PESGM40551.2019.8973702}
}
https://dx.doi.org/10.1109/PESGM40551.2019.8973702
Details
Data from Aug 1, 2019
Last updated Mar 30, 2026
Submitted Jun 2, 2026
Organization
Oak Ridge National Laboratory
Contact
Wale, Odukomaiya
Authors
