Optimum Operation and Cost Scenarios of a Hybrid Wind/PV/Battery in a Radial Network using Genetic Algorithm and Particle Swarm Optimization

Mohamed Els S. Abdelwareth; Dedet Candra Riawan; Chow Chompoo-Inwai

doi:10.1109/ICPEI55293.2022.9986819

Optimum Operation and Cost Scenarios of a Hybrid Wind/PV/Battery in a Radial Network using Genetic Algorithm and Particle Swarm Optimization

Mohamed Els S. Abdelwareth, Dedet Candra Riawan, Chow Chompoo-Inwai

Laboratory of Electric Energy Conversion

King Mongkut's Institute of Technology Ladkrabang

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

1 Citation (Scopus)

Abstract

Hybrid generation systems took the attention of many researchers searching for the best energy source that can be optimum, reliable, and scalable instead of dependency on the traditional fossil fuels sources; researchers are developing Artificial Intelligence (AI) algorithms to optimize those systems. This paper will study the optimum generating power from a Wind turbine, PV, and Battery linked to the radial network in Tomia Island, considering the optimum cost using Particle Swarm Optimization (PSO) and Genetic Algorithm (GA).

Original language	English
Title of host publication	2022 International Conference on Power, Energy and Innovations, ICPEI 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665460194
DOIs	https://doi.org/10.1109/ICPEI55293.2022.9986819
Publication status	Published - 2022
Event	2022 International Conference on Power, Energy and Innovations, ICPEI 2022 - Pattaya, Thailand Duration: 19 Oct 2022 → 21 Oct 2022

Publication series

Name	2022 International Conference on Power, Energy and Innovations, ICPEI 2022

Conference

Conference	2022 International Conference on Power, Energy and Innovations, ICPEI 2022
Country/Territory	Thailand
City	Pattaya
Period	19/10/22 → 21/10/22

Keywords

Batteries
Firefly algorithm
Genetic algorithm
PV
Particle swarm optimization
Power system optimization
Radial network
Wind Turbine

UN SDGs

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

Access to Document

10.1109/ICPEI55293.2022.9986819

Cite this

Abdelwareth, M. E. S., Riawan, D. C., & Chompoo-Inwai, C. (2022). Optimum Operation and Cost Scenarios of a Hybrid Wind/PV/Battery in a Radial Network using Genetic Algorithm and Particle Swarm Optimization. In 2022 International Conference on Power, Energy and Innovations, ICPEI 2022 (2022 International Conference on Power, Energy and Innovations, ICPEI 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICPEI55293.2022.9986819

Abdelwareth, Mohamed Els S. ; Riawan, Dedet Candra ; Chompoo-Inwai, Chow. / Optimum Operation and Cost Scenarios of a Hybrid Wind/PV/Battery in a Radial Network using Genetic Algorithm and Particle Swarm Optimization. 2022 International Conference on Power, Energy and Innovations, ICPEI 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 International Conference on Power, Energy and Innovations, ICPEI 2022).

@inproceedings{fc25b0da90ef41f7aa067926bcea8f7e,

title = "Optimum Operation and Cost Scenarios of a Hybrid Wind/PV/Battery in a Radial Network using Genetic Algorithm and Particle Swarm Optimization",

abstract = "Hybrid generation systems took the attention of many researchers searching for the best energy source that can be optimum, reliable, and scalable instead of dependency on the traditional fossil fuels sources; researchers are developing Artificial Intelligence (AI) algorithms to optimize those systems. This paper will study the optimum generating power from a Wind turbine, PV, and Battery linked to the radial network in Tomia Island, considering the optimum cost using Particle Swarm Optimization (PSO) and Genetic Algorithm (GA).",

keywords = "Batteries, Firefly algorithm, Genetic algorithm, PV, Particle swarm optimization, Power system optimization, Radial network, Wind Turbine",

author = "Abdelwareth, {Mohamed Els S.} and Riawan, {Dedet Candra} and Chow Chompoo-Inwai",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 International Conference on Power, Energy and Innovations, ICPEI 2022 ; Conference date: 19-10-2022 Through 21-10-2022",

year = "2022",

doi = "10.1109/ICPEI55293.2022.9986819",

language = "English",

series = "2022 International Conference on Power, Energy and Innovations, ICPEI 2022",

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

booktitle = "2022 International Conference on Power, Energy and Innovations, ICPEI 2022",

address = "United States",

}

Abdelwareth, MES, Riawan, DC & Chompoo-Inwai, C 2022, Optimum Operation and Cost Scenarios of a Hybrid Wind/PV/Battery in a Radial Network using Genetic Algorithm and Particle Swarm Optimization. in 2022 International Conference on Power, Energy and Innovations, ICPEI 2022. 2022 International Conference on Power, Energy and Innovations, ICPEI 2022, Institute of Electrical and Electronics Engineers Inc., 2022 International Conference on Power, Energy and Innovations, ICPEI 2022, Pattaya, Thailand, 19/10/22. https://doi.org/10.1109/ICPEI55293.2022.9986819

Optimum Operation and Cost Scenarios of a Hybrid Wind/PV/Battery in a Radial Network using Genetic Algorithm and Particle Swarm Optimization. / Abdelwareth, Mohamed Els S.; Riawan, Dedet Candra; Chompoo-Inwai, Chow.
2022 International Conference on Power, Energy and Innovations, ICPEI 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 International Conference on Power, Energy and Innovations, ICPEI 2022).

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

TY - GEN

T1 - Optimum Operation and Cost Scenarios of a Hybrid Wind/PV/Battery in a Radial Network using Genetic Algorithm and Particle Swarm Optimization

AU - Abdelwareth, Mohamed Els S.

AU - Riawan, Dedet Candra

AU - Chompoo-Inwai, Chow

PY - 2022

Y1 - 2022

N2 - Hybrid generation systems took the attention of many researchers searching for the best energy source that can be optimum, reliable, and scalable instead of dependency on the traditional fossil fuels sources; researchers are developing Artificial Intelligence (AI) algorithms to optimize those systems. This paper will study the optimum generating power from a Wind turbine, PV, and Battery linked to the radial network in Tomia Island, considering the optimum cost using Particle Swarm Optimization (PSO) and Genetic Algorithm (GA).

AB - Hybrid generation systems took the attention of many researchers searching for the best energy source that can be optimum, reliable, and scalable instead of dependency on the traditional fossil fuels sources; researchers are developing Artificial Intelligence (AI) algorithms to optimize those systems. This paper will study the optimum generating power from a Wind turbine, PV, and Battery linked to the radial network in Tomia Island, considering the optimum cost using Particle Swarm Optimization (PSO) and Genetic Algorithm (GA).

KW - Batteries

KW - Firefly algorithm

KW - Genetic algorithm

KW - PV

KW - Particle swarm optimization

KW - Power system optimization

KW - Radial network

KW - Wind Turbine

UR - http://www.scopus.com/inward/record.url?scp=85146424645&partnerID=8YFLogxK

U2 - 10.1109/ICPEI55293.2022.9986819

DO - 10.1109/ICPEI55293.2022.9986819

M3 - Conference contribution

AN - SCOPUS:85146424645

T3 - 2022 International Conference on Power, Energy and Innovations, ICPEI 2022

BT - 2022 International Conference on Power, Energy and Innovations, ICPEI 2022

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2022 International Conference on Power, Energy and Innovations, ICPEI 2022

Y2 - 19 October 2022 through 21 October 2022

ER -

Abdelwareth MES, Riawan DC, Chompoo-Inwai C. Optimum Operation and Cost Scenarios of a Hybrid Wind/PV/Battery in a Radial Network using Genetic Algorithm and Particle Swarm Optimization. In 2022 International Conference on Power, Energy and Innovations, ICPEI 2022. Institute of Electrical and Electronics Engineers Inc. 2022. (2022 International Conference on Power, Energy and Innovations, ICPEI 2022). doi: 10.1109/ICPEI55293.2022.9986819

Optimum Operation and Cost Scenarios of a Hybrid Wind/PV/Battery in a Radial Network using Genetic Algorithm and Particle Swarm Optimization

Abstract

Publication series

Conference

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this