Economic Analysis and Optimal Design of Micro-grid using PSO Algorithm

Md Arafat Bin Zafar; Md Rashidul Islam; Md Sajjad Ul Islam; Md Shafiullah; Arafat Ibne Ikram

doi:10.1109/ICECE57408.2022.10088762

Economic Analysis and Optimal Design of Micro-grid using PSO Algorithm

Md Arafat Bin Zafar^*
, Md Rashidul Islam
, Md Sajjad Ul Islam
, Md Shafiullah
, Arafat Ibne Ikram

^*Corresponding author for this work

Interdisciplinary Research Center for Sustainable Energy Systems

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

7 Scopus citations

Abstract

The efficiency of a micro-grid and its optimal size are both determined through economic analysis. optimization is necessary for running and expanding a micro-grid economically. Fulfilling equity and inequality standards may reduce total production costs including capital, operations, pollution, and renewable energy subsidies. A cost-optimization method called particle swarm optimization (PSO) is effective and flexible. Here, a framework for assessing the practicality, cost, and impact of off-grid energy systems on people and the planet is presented. A mathematical function of the micro-grid component might recycle power production by the hour based on available resources and store any surplus energy in a battery. Here, a model of a PV-Wind-WtE-battery hybrid system is proposed for the halishahar area of Chattogram, Bangladesh. Design considerations include solar panels, wind turbines, batteries, and diesel engine power. To determine the best parameters for the design in terms of total annual cost, particle swarm optimization algorithm is employed. This micro-grid has no trouble providing Halishahar with sufficient power for a whole year. The LCOE of this system is 0.22/kWh. Compared to conventional electricity, it results in lower carbon dioxide emissions.

Original language	English
Title of host publication	12th International Conference on Electrical and Computer Engineering, ICECE 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	421-424
Number of pages	4
ISBN (Electronic)	9798350398793
DOIs	https://doi.org/10.1109/ICECE57408.2022.10088762
State	Published - 2022
Event	12th International Conference on Electrical and Computer Engineering, ICECE 2022 - Dhaka, Bangladesh Duration: 21 Dec 2022 → 23 Dec 2022

Publication series

Name	12th International Conference on Electrical and Computer Engineering, ICECE 2022

Conference

Conference	12th International Conference on Electrical and Computer Engineering, ICECE 2022
Country/Territory	Bangladesh
City	Dhaka
Period	21/12/22 → 23/12/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Keywords

Cost optimization
Greenhouse gas emission
Micro-grid
Particle swarm optimization
Renewable energy
Waste to energy

ASJC Scopus subject areas

Artificial Intelligence
Computer Science Applications
Hardware and Architecture
Signal Processing
Electrical and Electronic Engineering
Instrumentation

UN SDGs

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

Access to Document

10.1109/ICECE57408.2022.10088762

Cite this

Zafar, M. A. B., Islam, M. R., Islam, M. S. U., Shafiullah, M., & Ikram, A. I. (2022). Economic Analysis and Optimal Design of Micro-grid using PSO Algorithm. In 12th International Conference on Electrical and Computer Engineering, ICECE 2022 (pp. 421-424). (12th International Conference on Electrical and Computer Engineering, ICECE 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICECE57408.2022.10088762

Zafar, Md Arafat Bin ; Islam, Md Rashidul ; Islam, Md Sajjad Ul et al. / Economic Analysis and Optimal Design of Micro-grid using PSO Algorithm. 12th International Conference on Electrical and Computer Engineering, ICECE 2022. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 421-424 (12th International Conference on Electrical and Computer Engineering, ICECE 2022).

@inproceedings{c191ecc255164a818bc150bdda7ab122,

title = "Economic Analysis and Optimal Design of Micro-grid using PSO Algorithm",

abstract = "The efficiency of a micro-grid and its optimal size are both determined through economic analysis. optimization is necessary for running and expanding a micro-grid economically. Fulfilling equity and inequality standards may reduce total production costs including capital, operations, pollution, and renewable energy subsidies. A cost-optimization method called particle swarm optimization (PSO) is effective and flexible. Here, a framework for assessing the practicality, cost, and impact of off-grid energy systems on people and the planet is presented. A mathematical function of the micro-grid component might recycle power production by the hour based on available resources and store any surplus energy in a battery. Here, a model of a PV-Wind-WtE-battery hybrid system is proposed for the halishahar area of Chattogram, Bangladesh. Design considerations include solar panels, wind turbines, batteries, and diesel engine power. To determine the best parameters for the design in terms of total annual cost, particle swarm optimization algorithm is employed. This micro-grid has no trouble providing Halishahar with sufficient power for a whole year. The LCOE of this system is 0.22/kWh. Compared to conventional electricity, it results in lower carbon dioxide emissions.",

keywords = "Cost optimization, Greenhouse gas emission, Micro-grid, Particle swarm optimization, Renewable energy, Waste to energy",

author = "Zafar, \{Md Arafat Bin\} and Islam, \{Md Rashidul\} and Islam, \{Md Sajjad Ul\} and Md Shafiullah and Ikram, \{Arafat Ibne\}",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 12th International Conference on Electrical and Computer Engineering, ICECE 2022 ; Conference date: 21-12-2022 Through 23-12-2022",

year = "2022",

doi = "10.1109/ICECE57408.2022.10088762",

language = "English",

series = "12th International Conference on Electrical and Computer Engineering, ICECE 2022",

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Zafar, MAB, Islam, MR, Islam, MSU, Shafiullah, M & Ikram, AI 2022, Economic Analysis and Optimal Design of Micro-grid using PSO Algorithm. in 12th International Conference on Electrical and Computer Engineering, ICECE 2022. 12th International Conference on Electrical and Computer Engineering, ICECE 2022, Institute of Electrical and Electronics Engineers Inc., pp. 421-424, 12th International Conference on Electrical and Computer Engineering, ICECE 2022, Dhaka, Bangladesh, 21/12/22. https://doi.org/10.1109/ICECE57408.2022.10088762

Economic Analysis and Optimal Design of Micro-grid using PSO Algorithm. / Zafar, Md Arafat Bin; Islam, Md Rashidul; Islam, Md Sajjad Ul et al.
12th International Conference on Electrical and Computer Engineering, ICECE 2022. Institute of Electrical and Electronics Engineers Inc., 2022. p. 421-424 (12th International Conference on Electrical and Computer Engineering, ICECE 2022).

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

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T1 - Economic Analysis and Optimal Design of Micro-grid using PSO Algorithm

AU - Zafar, Md Arafat Bin

AU - Islam, Md Rashidul

AU - Islam, Md Sajjad Ul

AU - Shafiullah, Md

AU - Ikram, Arafat Ibne

PY - 2022

Y1 - 2022

N2 - The efficiency of a micro-grid and its optimal size are both determined through economic analysis. optimization is necessary for running and expanding a micro-grid economically. Fulfilling equity and inequality standards may reduce total production costs including capital, operations, pollution, and renewable energy subsidies. A cost-optimization method called particle swarm optimization (PSO) is effective and flexible. Here, a framework for assessing the practicality, cost, and impact of off-grid energy systems on people and the planet is presented. A mathematical function of the micro-grid component might recycle power production by the hour based on available resources and store any surplus energy in a battery. Here, a model of a PV-Wind-WtE-battery hybrid system is proposed for the halishahar area of Chattogram, Bangladesh. Design considerations include solar panels, wind turbines, batteries, and diesel engine power. To determine the best parameters for the design in terms of total annual cost, particle swarm optimization algorithm is employed. This micro-grid has no trouble providing Halishahar with sufficient power for a whole year. The LCOE of this system is 0.22/kWh. Compared to conventional electricity, it results in lower carbon dioxide emissions.

AB - The efficiency of a micro-grid and its optimal size are both determined through economic analysis. optimization is necessary for running and expanding a micro-grid economically. Fulfilling equity and inequality standards may reduce total production costs including capital, operations, pollution, and renewable energy subsidies. A cost-optimization method called particle swarm optimization (PSO) is effective and flexible. Here, a framework for assessing the practicality, cost, and impact of off-grid energy systems on people and the planet is presented. A mathematical function of the micro-grid component might recycle power production by the hour based on available resources and store any surplus energy in a battery. Here, a model of a PV-Wind-WtE-battery hybrid system is proposed for the halishahar area of Chattogram, Bangladesh. Design considerations include solar panels, wind turbines, batteries, and diesel engine power. To determine the best parameters for the design in terms of total annual cost, particle swarm optimization algorithm is employed. This micro-grid has no trouble providing Halishahar with sufficient power for a whole year. The LCOE of this system is 0.22/kWh. Compared to conventional electricity, it results in lower carbon dioxide emissions.

KW - Cost optimization

KW - Greenhouse gas emission

KW - Micro-grid

KW - Particle swarm optimization

KW - Renewable energy

KW - Waste to energy

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U2 - 10.1109/ICECE57408.2022.10088762

DO - 10.1109/ICECE57408.2022.10088762

M3 - Conference contribution

AN - SCOPUS:85153576811

T3 - 12th International Conference on Electrical and Computer Engineering, ICECE 2022

SP - 421

EP - 424

BT - 12th International Conference on Electrical and Computer Engineering, ICECE 2022

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 12th International Conference on Electrical and Computer Engineering, ICECE 2022

Y2 - 21 December 2022 through 23 December 2022

ER -

Zafar MAB, Islam MR, Islam MSU, Shafiullah M, Ikram AI. Economic Analysis and Optimal Design of Micro-grid using PSO Algorithm. In 12th International Conference on Electrical and Computer Engineering, ICECE 2022. Institute of Electrical and Electronics Engineers Inc. 2022. p. 421-424. (12th International Conference on Electrical and Computer Engineering, ICECE 2022). doi: 10.1109/ICECE57408.2022.10088762

Economic Analysis and Optimal Design of Micro-grid using PSO Algorithm

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

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Cite this