An Efficient Decision-Making Approach for Optimal Energy Management of Microgrids

Najmeh Bazmohammadi; Ali Karimpour; Somayyeh  Bazmohammadi; Amjad Anvari-Moghaddam; Josep M. Guerrero

doi:10.1109/PTC.2019.8810667

An Efficient Decision-Making Approach for Optimal Energy Management of Microgrids

Najmeh Bazmohammadi, Ali Karimpour, Somayyeh Bazmohammadi, Amjad Anvari-Moghaddam, Josep M. Guerrero

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

4 Citations (Scopus)

153 Downloads (Pure)

Abstract

In this paper, energy management problem of microgrids is formulated in the framework of non-linear multi-objective optimization problems. The goal is to develop an efficient strategy to supply the microgrids consumers with clean electricity in the most economical way. Moreover, in order to improve system performance and enhance energy efficiency, minimization of system losses is also considered in the optimization scheme. An efficient decision-making approach which adopts fuzzy adaptive particle swarm optimization algorithm is suggested to find the best compromise strategy. The proposed method has been applied to a typical microgrid comprises a variety of distributed energy resources and storage devices. Simulation results under different scenarios approve effectiveness of the proposed approach.

Original language	English
Title of host publication	Proceedings of 2019 IEEE Milan PowerTech
Number of pages	6
Publisher	IEEE Press
Publication date	Jun 2019
ISBN (Electronic)	9781538647226
DOIs	https://doi.org/10.1109/PTC.2019.8810667
Publication status	Published - Jun 2019
Event	2019 IEEE Milan PowerTech - Milan, Italy Duration: 23 Jun 2019 → 27 Jun 2019

Conference

Conference	2019 IEEE Milan PowerTech
Country/Territory	Italy
City	Milan
Period	23/06/2019 → 27/06/2019

Keywords

Energy management system
Fuzzy systems
Microgrids
Particle swarm optimization
Power loss

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10.1109/PTC.2019.8810667

PID5858709Accepted author manuscript, 392 KB

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title = "An Efficient Decision-Making Approach for Optimal Energy Management of Microgrids",

abstract = "In this paper, energy management problem of microgrids is formulated in the framework of non-linear multi-objective optimization problems. The goal is to develop an efficient strategy to supply the microgrids consumers with clean electricity in the most economical way. Moreover, in order to improve system performance and enhance energy efficiency, minimization of system losses is also considered in the optimization scheme. An efficient decision-making approach which adopts fuzzy adaptive particle swarm optimization algorithm is suggested to find the best compromise strategy. The proposed method has been applied to a typical microgrid comprises a variety of distributed energy resources and storage devices. Simulation results under different scenarios approve effectiveness of the proposed approach.",

keywords = "Energy management system, Fuzzy systems, Microgrids, Particle swarm optimization, Power loss",

author = "Najmeh Bazmohammadi and Ali Karimpour and Somayyeh Bazmohammadi and Amjad Anvari-Moghaddam and Guerrero, {Josep M.}",

year = "2019",

month = jun,

doi = "10.1109/PTC.2019.8810667",

language = "English",

booktitle = "Proceedings of 2019 IEEE Milan PowerTech",

publisher = "IEEE Press",

note = "2019 IEEE Milan PowerTech ; Conference date: 23-06-2019 Through 27-06-2019",

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AU - Bazmohammadi, Najmeh

AU - Karimpour, Ali

AU - Bazmohammadi, Somayyeh

AU - Anvari-Moghaddam, Amjad

AU - Guerrero, Josep M.

PY - 2019/6

Y1 - 2019/6

N2 - In this paper, energy management problem of microgrids is formulated in the framework of non-linear multi-objective optimization problems. The goal is to develop an efficient strategy to supply the microgrids consumers with clean electricity in the most economical way. Moreover, in order to improve system performance and enhance energy efficiency, minimization of system losses is also considered in the optimization scheme. An efficient decision-making approach which adopts fuzzy adaptive particle swarm optimization algorithm is suggested to find the best compromise strategy. The proposed method has been applied to a typical microgrid comprises a variety of distributed energy resources and storage devices. Simulation results under different scenarios approve effectiveness of the proposed approach.

AB - In this paper, energy management problem of microgrids is formulated in the framework of non-linear multi-objective optimization problems. The goal is to develop an efficient strategy to supply the microgrids consumers with clean electricity in the most economical way. Moreover, in order to improve system performance and enhance energy efficiency, minimization of system losses is also considered in the optimization scheme. An efficient decision-making approach which adopts fuzzy adaptive particle swarm optimization algorithm is suggested to find the best compromise strategy. The proposed method has been applied to a typical microgrid comprises a variety of distributed energy resources and storage devices. Simulation results under different scenarios approve effectiveness of the proposed approach.

KW - Energy management system

KW - Fuzzy systems

KW - Microgrids

KW - Particle swarm optimization

KW - Power loss

U2 - 10.1109/PTC.2019.8810667

DO - 10.1109/PTC.2019.8810667

M3 - Article in proceeding

BT - Proceedings of 2019 IEEE Milan PowerTech

PB - IEEE Press

T2 - 2019 IEEE Milan PowerTech

Y2 - 23 June 2019 through 27 June 2019

ER -

An Efficient Decision-Making Approach for Optimal Energy Management of Microgrids

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