Particle Swarm Optimization and Genetic Algorithms for Optimal Management of Network of Microgrids Based Renewable Energy and Diesel Generators

Adel Merabet; Ahmed Al-Durra; Tarek El-Fouly; Ehab F. El-Saadany

doi:10.1109/SPIES63782.2024.10983435

Particle Swarm Optimization and Genetic Algorithms for Optimal Management of Network of Microgrids Based Renewable Energy and Diesel Generators

Electrical Engineering

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

1 Scopus citations

Abstract

In this paper, particle swarm optimization and genetic algorithms are applied for the optimization of a network of microgrids based on renewable energy and diesel generators. The problem is formulated based on networked microgrids by developing the equalities, inequalities and bounds constraints using specific design variables and an objective function. These metaheuristic optimizations are applied based on the formulated problem to operate the network of microgrids during a day (24 hours). Simulations are conducted to operate a network of three microgrids by optimizing the diesel generators usage and the power exchange between the microgrid in the network. Results are provided to show optimization outcomes, of the two metaheuristic algorithms, using the formulated problem of the network of microgrids.

Original language	British English
Title of host publication	2024 6th International Conference on Smart Power and Internet Energy Systems, SPIES 2024
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	344-348
Number of pages	5
ISBN (Electronic)	9798350368864
DOIs	https://doi.org/10.1109/SPIES63782.2024.10983435
State	Published - 2024
Event	6th International Conference on Smart Power and Internet Energy Systems, SPIES 2024 - Abu Dhabi, United Arab Emirates Duration: 4 Dec 2024 → 6 Dec 2024

Publication series

Name	2024 6th International Conference on Smart Power and Internet Energy Systems, SPIES 2024

Conference

Conference	6th International Conference on Smart Power and Internet Energy Systems, SPIES 2024
Country/Territory	United Arab Emirates
City	Abu Dhabi
Period	4/12/24 → 6/12/24

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

diesel generator
genetic algorithms
microgrid
network
particle swarm optimization
renewable energy

Access to Document

10.1109/SPIES63782.2024.10983435

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Merabet, A., Al-Durra, A., El-Fouly, T., & El-Saadany, E. F. (2024). Particle Swarm Optimization and Genetic Algorithms for Optimal Management of Network of Microgrids Based Renewable Energy and Diesel Generators. In 2024 6th International Conference on Smart Power and Internet Energy Systems, SPIES 2024 (pp. 344-348). (2024 6th International Conference on Smart Power and Internet Energy Systems, SPIES 2024). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SPIES63782.2024.10983435

Merabet, Adel ; Al-Durra, Ahmed ; El-Fouly, Tarek et al. / Particle Swarm Optimization and Genetic Algorithms for Optimal Management of Network of Microgrids Based Renewable Energy and Diesel Generators. 2024 6th International Conference on Smart Power and Internet Energy Systems, SPIES 2024. Institute of Electrical and Electronics Engineers Inc., 2024. pp. 344-348 (2024 6th International Conference on Smart Power and Internet Energy Systems, SPIES 2024).

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title = "Particle Swarm Optimization and Genetic Algorithms for Optimal Management of Network of Microgrids Based Renewable Energy and Diesel Generators",

abstract = "In this paper, particle swarm optimization and genetic algorithms are applied for the optimization of a network of microgrids based on renewable energy and diesel generators. The problem is formulated based on networked microgrids by developing the equalities, inequalities and bounds constraints using specific design variables and an objective function. These metaheuristic optimizations are applied based on the formulated problem to operate the network of microgrids during a day (24 hours). Simulations are conducted to operate a network of three microgrids by optimizing the diesel generators usage and the power exchange between the microgrid in the network. Results are provided to show optimization outcomes, of the two metaheuristic algorithms, using the formulated problem of the network of microgrids.",

keywords = "diesel generator, genetic algorithms, microgrid, network, particle swarm optimization, renewable energy",

author = "Adel Merabet and Ahmed Al-Durra and Tarek El-Fouly and El-Saadany, \{Ehab F.\}",

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Merabet, A , Al-Durra, A , El-Fouly, T & El-Saadany, EF 2024, Particle Swarm Optimization and Genetic Algorithms for Optimal Management of Network of Microgrids Based Renewable Energy and Diesel Generators. in 2024 6th International Conference on Smart Power and Internet Energy Systems, SPIES 2024. 2024 6th International Conference on Smart Power and Internet Energy Systems, SPIES 2024, Institute of Electrical and Electronics Engineers Inc., pp. 344-348, 6th International Conference on Smart Power and Internet Energy Systems, SPIES 2024, Abu Dhabi, United Arab Emirates, 4/12/24. https://doi.org/10.1109/SPIES63782.2024.10983435

Particle Swarm Optimization and Genetic Algorithms for Optimal Management of Network of Microgrids Based Renewable Energy and Diesel Generators. / Merabet, Adel ; Al-Durra, Ahmed ; El-Fouly, Tarek et al.
2024 6th International Conference on Smart Power and Internet Energy Systems, SPIES 2024. Institute of Electrical and Electronics Engineers Inc., 2024. p. 344-348 (2024 6th International Conference on Smart Power and Internet Energy Systems, SPIES 2024).

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

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AU - Merabet, Adel

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AU - El-Saadany, Ehab F.

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AB - In this paper, particle swarm optimization and genetic algorithms are applied for the optimization of a network of microgrids based on renewable energy and diesel generators. The problem is formulated based on networked microgrids by developing the equalities, inequalities and bounds constraints using specific design variables and an objective function. These metaheuristic optimizations are applied based on the formulated problem to operate the network of microgrids during a day (24 hours). Simulations are conducted to operate a network of three microgrids by optimizing the diesel generators usage and the power exchange between the microgrid in the network. Results are provided to show optimization outcomes, of the two metaheuristic algorithms, using the formulated problem of the network of microgrids.

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KW - genetic algorithms

KW - microgrid

KW - network

KW - particle swarm optimization

KW - renewable energy

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Merabet A , Al-Durra A , El-Fouly T , El-Saadany EF. Particle Swarm Optimization and Genetic Algorithms for Optimal Management of Network of Microgrids Based Renewable Energy and Diesel Generators. In 2024 6th International Conference on Smart Power and Internet Energy Systems, SPIES 2024. Institute of Electrical and Electronics Engineers Inc. 2024. p. 344-348. (2024 6th International Conference on Smart Power and Internet Energy Systems, SPIES 2024). doi: 10.1109/SPIES63782.2024.10983435

Particle Swarm Optimization and Genetic Algorithms for Optimal Management of Network of Microgrids Based Renewable Energy and Diesel Generators

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

OpenUrl availability

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