Optimal Participation of the Renewable Energy in Microgrids with Load Management Strategy

Oriza Candra; Abdeljelil Chammam; Untung Rahardja; Andrés Alexis Ramirez-Coronel; Abdullah Abdul Al-Jaleel; Ibrahim H. Al-Kharsan; Iskandar Muda; Ghasem B. Derakhshani; Mohamad Mehdi Rezai

doi:10.2478/rtuect-2023-0005

Optimal Participation of the Renewable Energy in Microgrids with Load Management Strategy

Oriza Candra, Abdeljelil Chammam, Untung Rahardja, Andrés Alexis Ramirez-Coronel, Abdullah Abdul Al-Jaleel, Ibrahim H. Al-Kharsan, Iskandar Muda, Ghasem B. Derakhshani, Mohamad Mehdi Rezai

Electrical Engineering

Research output: Contribution to journal › Article › peer-review

20 Scopus citations

Abstract

In this paper, bi-level optimization model is proposed for optimal energy trading between microgrids (MGs) and distribution companies (Discos) with consideration of the renewable energies. The first level modelling is maximizing MGs' profit and the second level is related to maximization of the Discos profit. In proposed system, power trading between MGs and Discos is considered. As well, renewable energies and demand management strategy are modelled in system for optimal energy consumption. The optimization modelling is solved by Particle Swarm Optimization (PSO), and results of the two case studies show optimal solution of prosed strategy in energy optimization.

Original language	English
Pages (from-to)	56-66
Number of pages	11
Journal	Environmental and Climate Technologies
Volume	27
Issue number	1
DOIs	https://doi.org/10.2478/rtuect-2023-0005
State	Published - 1 Jan 2023

Keywords

Bi-level
demand management strategy
energy consumption
energy optimization
renewable energies

UN SDGs

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

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10.2478/rtuect-2023-0005

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title = "Optimal Participation of the Renewable Energy in Microgrids with Load Management Strategy",

abstract = "In this paper, bi-level optimization model is proposed for optimal energy trading between microgrids (MGs) and distribution companies (Discos) with consideration of the renewable energies. The first level modelling is maximizing MGs' profit and the second level is related to maximization of the Discos profit. In proposed system, power trading between MGs and Discos is considered. As well, renewable energies and demand management strategy are modelled in system for optimal energy consumption. The optimization modelling is solved by Particle Swarm Optimization (PSO), and results of the two case studies show optimal solution of prosed strategy in energy optimization.",

keywords = "Bi-level, demand management strategy, energy consumption, energy optimization, renewable energies",

author = "Oriza Candra and Abdeljelil Chammam and Untung Rahardja and Ramirez-Coronel, \{Andr{\'e}s Alexis\} and Al-Jaleel, \{Abdullah Abdul\} and Al-Kharsan, \{Ibrahim H.\} and Iskandar Muda and Derakhshani, \{Ghasem B.\} and Rezai, \{Mohamad Mehdi\}",

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doi = "10.2478/rtuect-2023-0005",

language = "English",

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AU - Candra, Oriza

AU - Chammam, Abdeljelil

AU - Rahardja, Untung

AU - Ramirez-Coronel, Andrés Alexis

AU - Al-Jaleel, Abdullah Abdul

AU - Al-Kharsan, Ibrahim H.

AU - Muda, Iskandar

AU - Derakhshani, Ghasem B.

AU - Rezai, Mohamad Mehdi

PY - 2023/1/1

Y1 - 2023/1/1

N2 - In this paper, bi-level optimization model is proposed for optimal energy trading between microgrids (MGs) and distribution companies (Discos) with consideration of the renewable energies. The first level modelling is maximizing MGs' profit and the second level is related to maximization of the Discos profit. In proposed system, power trading between MGs and Discos is considered. As well, renewable energies and demand management strategy are modelled in system for optimal energy consumption. The optimization modelling is solved by Particle Swarm Optimization (PSO), and results of the two case studies show optimal solution of prosed strategy in energy optimization.

AB - In this paper, bi-level optimization model is proposed for optimal energy trading between microgrids (MGs) and distribution companies (Discos) with consideration of the renewable energies. The first level modelling is maximizing MGs' profit and the second level is related to maximization of the Discos profit. In proposed system, power trading between MGs and Discos is considered. As well, renewable energies and demand management strategy are modelled in system for optimal energy consumption. The optimization modelling is solved by Particle Swarm Optimization (PSO), and results of the two case studies show optimal solution of prosed strategy in energy optimization.

KW - Bi-level

KW - demand management strategy

KW - energy consumption

KW - energy optimization

KW - renewable energies

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Optimal Participation of the Renewable Energy in Microgrids with Load Management Strategy

Abstract

Keywords

UN SDGs

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