Probabilistic Analysis of Solar-Wind Gravity Energy Storage for Off-Grid Communities

Arun Rathore; Anupam Kumar; N. P. Patidar

doi:10.1109/ICEPE55035.2022.9798248

Probabilistic Analysis of Solar-Wind Gravity Energy Storage for Off-Grid Communities

Arun Rathore
, Anupam Kumar
, N. P. Patidar

Manipal Institute of Technology, Manipal

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

6 Citations (Scopus)

Abstract

Energy storage systems are essential parts of autonomous hybrid energy systems due to stochastic nature of renewable resources. In this paper, the new Gravity energy storage (GES) technology using suspended weight is incorporated into a standalone solar-wind based hybrid power system. Meteorological data of Gujarat (India) were taken into account for the simulation work. This paper presents mathematical modeling of renewable energy resources, generating units, and GES. This work focuses on the probabilistic analytical approach for reliability evaluation of standalone hybrid power system. To evaluate the degree of reliability, the reliability indicator Expected energy not served (EENS) and Loss of energy probability (LOEP) are evaluated.

Original language	English
Title of host publication	4th International Conference on Energy, Power, and Environment, ICEPE 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665471244
DOIs	https://doi.org/10.1109/ICEPE55035.2022.9798248
Publication status	Published - 2022
Event	4th International Conference on Energy, Power, and Environment, ICEPE 2022 - Shillong, India Duration: 29-04-2022 → 01-05-2022

Publication series

Name	4th International Conference on Energy, Power, and Environment, ICEPE 2022

Conference

Conference	4th International Conference on Energy, Power, and Environment, ICEPE 2022
Country/Territory	India
City	Shillong
Period	29-04-22 → 01-05-22

UN SDGs

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

SDG 7 Affordable and Clean Energy

All Science Journal Classification (ASJC) codes

Energy Engineering and Power Technology
Fuel Technology
Renewable Energy, Sustainability and the Environment
Electrical and Electronic Engineering
Control and Optimization

Access to Document

10.1109/ICEPE55035.2022.9798248

Cite this

Rathore, A., Kumar, A., & Patidar, N. P. (2022). Probabilistic Analysis of Solar-Wind Gravity Energy Storage for Off-Grid Communities. In 4th International Conference on Energy, Power, and Environment, ICEPE 2022 (4th International Conference on Energy, Power, and Environment, ICEPE 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICEPE55035.2022.9798248

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title = "Probabilistic Analysis of Solar-Wind Gravity Energy Storage for Off-Grid Communities",

abstract = "Energy storage systems are essential parts of autonomous hybrid energy systems due to stochastic nature of renewable resources. In this paper, the new Gravity energy storage (GES) technology using suspended weight is incorporated into a standalone solar-wind based hybrid power system. Meteorological data of Gujarat (India) were taken into account for the simulation work. This paper presents mathematical modeling of renewable energy resources, generating units, and GES. This work focuses on the probabilistic analytical approach for reliability evaluation of standalone hybrid power system. To evaluate the degree of reliability, the reliability indicator Expected energy not served (EENS) and Loss of energy probability (LOEP) are evaluated.",

author = "Arun Rathore and Anupam Kumar and Patidar, \{N. P.\}",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 4th International Conference on Energy, Power, and Environment, ICEPE 2022 ; Conference date: 29-04-2022 Through 01-05-2022",

year = "2022",

doi = "10.1109/ICEPE55035.2022.9798248",

language = "English",

series = "4th International Conference on Energy, Power, and Environment, ICEPE 2022",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "4th International Conference on Energy, Power, and Environment, ICEPE 2022",

address = "United States",

}

Rathore, A, Kumar, A & Patidar, NP 2022, Probabilistic Analysis of Solar-Wind Gravity Energy Storage for Off-Grid Communities. in 4th International Conference on Energy, Power, and Environment, ICEPE 2022. 4th International Conference on Energy, Power, and Environment, ICEPE 2022, Institute of Electrical and Electronics Engineers Inc., 4th International Conference on Energy, Power, and Environment, ICEPE 2022, Shillong, India, 29-04-22. https://doi.org/10.1109/ICEPE55035.2022.9798248

Probabilistic Analysis of Solar-Wind Gravity Energy Storage for Off-Grid Communities. / Rathore, Arun; Kumar, Anupam; Patidar, N. P.
4th International Conference on Energy, Power, and Environment, ICEPE 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (4th International Conference on Energy, Power, and Environment, ICEPE 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Probabilistic Analysis of Solar-Wind Gravity Energy Storage for Off-Grid Communities

AU - Rathore, Arun

AU - Kumar, Anupam

AU - Patidar, N. P.

PY - 2022

Y1 - 2022

N2 - Energy storage systems are essential parts of autonomous hybrid energy systems due to stochastic nature of renewable resources. In this paper, the new Gravity energy storage (GES) technology using suspended weight is incorporated into a standalone solar-wind based hybrid power system. Meteorological data of Gujarat (India) were taken into account for the simulation work. This paper presents mathematical modeling of renewable energy resources, generating units, and GES. This work focuses on the probabilistic analytical approach for reliability evaluation of standalone hybrid power system. To evaluate the degree of reliability, the reliability indicator Expected energy not served (EENS) and Loss of energy probability (LOEP) are evaluated.

AB - Energy storage systems are essential parts of autonomous hybrid energy systems due to stochastic nature of renewable resources. In this paper, the new Gravity energy storage (GES) technology using suspended weight is incorporated into a standalone solar-wind based hybrid power system. Meteorological data of Gujarat (India) were taken into account for the simulation work. This paper presents mathematical modeling of renewable energy resources, generating units, and GES. This work focuses on the probabilistic analytical approach for reliability evaluation of standalone hybrid power system. To evaluate the degree of reliability, the reliability indicator Expected energy not served (EENS) and Loss of energy probability (LOEP) are evaluated.

UR - https://www.scopus.com/pages/publications/85133949915

UR - https://www.scopus.com/pages/publications/85133949915#tab=citedBy

U2 - 10.1109/ICEPE55035.2022.9798248

DO - 10.1109/ICEPE55035.2022.9798248

M3 - Conference contribution

AN - SCOPUS:85133949915

T3 - 4th International Conference on Energy, Power, and Environment, ICEPE 2022

BT - 4th International Conference on Energy, Power, and Environment, ICEPE 2022

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 4th International Conference on Energy, Power, and Environment, ICEPE 2022

Y2 - 29 April 2022 through 1 May 2022

ER -

Rathore A, Kumar A, Patidar NP. Probabilistic Analysis of Solar-Wind Gravity Energy Storage for Off-Grid Communities. In 4th International Conference on Energy, Power, and Environment, ICEPE 2022. Institute of Electrical and Electronics Engineers Inc. 2022. (4th International Conference on Energy, Power, and Environment, ICEPE 2022). doi: 10.1109/ICEPE55035.2022.9798248

Probabilistic Analysis of Solar-Wind Gravity Energy Storage for Off-Grid Communities

Abstract

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UN SDGs

All Science Journal Classification (ASJC) codes

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