A new load frequency control strategy for an AC micro-grid: PSO-based fuzzy logic controlling approach

Ahmadreza Abazari; Mehdi Ghazavi Dozein; Hassan Monsef

doi:10.1109/SGC.2018.8777791

A new load frequency control strategy for an AC micro-grid: PSO-based fuzzy logic controlling approach

Ahmadreza Abazari, Mehdi Ghazavi Dozein, Hassan Monsef

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

16 Citations (Scopus)

Abstract

Lack of sufficient synchronous generators (SG) and high integration of renewable energy sources (RES) raise several challenges in micro-grid (MG) operation, especially in terms of system stability. In fact, MG suffers from low-inertia condition which results in high risk of frequency instability following disturbances. Therefore, it is mandatory to compensate the lack of sufficient frequency control ancillary services (FCAS) by alternative solutions. This paper presents an optimal Fuzzy-logic based secondary frequency control in order to improve MG frequency stability through management of system active power. The proposed Fuzzy-logic controller benefits from robustness and simplicity in order to ameliorate frequency deviations. To improve the efficiency of the method, Fuzzy membership function parameters are optimized based on a multi-objective function using Particle Swarm Optimization (PSO) algorithm. Finally, the proposed strategy is assessed in various scenarios.

Original language	English
Title of host publication	Conference Proceedings - 2018 Smart Grid Conference (SGC)
Editors	Navid Rezaei
Place of Publication	Piscataway NJ USA
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	199-205
Number of pages	7
ISBN (Electronic)	9781728111384
ISBN (Print)	9781728111377
DOIs	https://doi.org/10.1109/SGC.2018.8777791
Publication status	Published - 2018
Externally published	Yes
Event	IEEE Smart Grid Conference 2018 - Sanandaj, Iran Duration: 28 Nov 2018 → 29 Nov 2018 https://ieeexplore.ieee.org/xpl/conhome/8766285/proceeding?isnumber=8777739&rowsPerPage=75&pageNumber=1 (Proceedings) https://conf.uok.ac.ir/sgc2018/Default.aspx?Lang=en (Website)

Conference

Conference	IEEE Smart Grid Conference 2018
Abbreviated title	SGC 2018
Country/Territory	Iran
City	Sanandaj
Period	28/11/18 → 29/11/18
Internet address	https://ieeexplore.ieee.org/xpl/conhome/8766285/proceeding?isnumber=8777739&rowsPerPage=75&pageNumber=1 (Proceedings) https://conf.uok.ac.ir/sgc2018/Default.aspx?Lang=en (Website)

Keywords

Fuzzy Logic Controller
Load Frequency Control (LFC)
Micro-Grid (MG)
Particle Swarm Optimization (PSO)

UN SDGs

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

Access to Document

10.1109/SGC.2018.8777791

Cite this

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title = "A new load frequency control strategy for an AC micro-grid: PSO-based fuzzy logic controlling approach",

abstract = "Lack of sufficient synchronous generators (SG) and high integration of renewable energy sources (RES) raise several challenges in micro-grid (MG) operation, especially in terms of system stability. In fact, MG suffers from low-inertia condition which results in high risk of frequency instability following disturbances. Therefore, it is mandatory to compensate the lack of sufficient frequency control ancillary services (FCAS) by alternative solutions. This paper presents an optimal Fuzzy-logic based secondary frequency control in order to improve MG frequency stability through management of system active power. The proposed Fuzzy-logic controller benefits from robustness and simplicity in order to ameliorate frequency deviations. To improve the efficiency of the method, Fuzzy membership function parameters are optimized based on a multi-objective function using Particle Swarm Optimization (PSO) algorithm. Finally, the proposed strategy is assessed in various scenarios.",

keywords = "Fuzzy Logic Controller, Load Frequency Control (LFC), Micro-Grid (MG), Particle Swarm Optimization (PSO)",

author = "Ahmadreza Abazari and Dozein, \{Mehdi Ghazavi\} and Hassan Monsef",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; IEEE Smart Grid Conference 2018, SGC 2018 ; Conference date: 28-11-2018 Through 29-11-2018",

year = "2018",

doi = "10.1109/SGC.2018.8777791",

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isbn = "9781728111377",

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booktitle = "Conference Proceedings - 2018 Smart Grid Conference (SGC)",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States of America",

url = "https://ieeexplore.ieee.org/xpl/conhome/8766285/proceeding?isnumber=8777739\&rowsPerPage=75\&pageNumber=1, https://conf.uok.ac.ir/sgc2018/Default.aspx?Lang=en",

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Abazari, A, Dozein, MG & Monsef, H 2018, A new load frequency control strategy for an AC micro-grid: PSO-based fuzzy logic controlling approach. in N Rezaei (ed.), Conference Proceedings - 2018 Smart Grid Conference (SGC)., 8777791, IEEE, Institute of Electrical and Electronics Engineers, Piscataway NJ USA, pp. 199-205, IEEE Smart Grid Conference 2018, Sanandaj, Iran, 28/11/18. https://doi.org/10.1109/SGC.2018.8777791

A new load frequency control strategy for an AC micro-grid: PSO-based fuzzy logic controlling approach. / Abazari, Ahmadreza; Dozein, Mehdi Ghazavi; Monsef, Hassan.
Conference Proceedings - 2018 Smart Grid Conference (SGC). ed. / Navid Rezaei. Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, 2018. p. 199-205 8777791.

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

TY - GEN

T1 - A new load frequency control strategy for an AC micro-grid

T2 - IEEE Smart Grid Conference 2018

AU - Abazari, Ahmadreza

AU - Dozein, Mehdi Ghazavi

AU - Monsef, Hassan

PY - 2018

Y1 - 2018

N2 - Lack of sufficient synchronous generators (SG) and high integration of renewable energy sources (RES) raise several challenges in micro-grid (MG) operation, especially in terms of system stability. In fact, MG suffers from low-inertia condition which results in high risk of frequency instability following disturbances. Therefore, it is mandatory to compensate the lack of sufficient frequency control ancillary services (FCAS) by alternative solutions. This paper presents an optimal Fuzzy-logic based secondary frequency control in order to improve MG frequency stability through management of system active power. The proposed Fuzzy-logic controller benefits from robustness and simplicity in order to ameliorate frequency deviations. To improve the efficiency of the method, Fuzzy membership function parameters are optimized based on a multi-objective function using Particle Swarm Optimization (PSO) algorithm. Finally, the proposed strategy is assessed in various scenarios.

AB - Lack of sufficient synchronous generators (SG) and high integration of renewable energy sources (RES) raise several challenges in micro-grid (MG) operation, especially in terms of system stability. In fact, MG suffers from low-inertia condition which results in high risk of frequency instability following disturbances. Therefore, it is mandatory to compensate the lack of sufficient frequency control ancillary services (FCAS) by alternative solutions. This paper presents an optimal Fuzzy-logic based secondary frequency control in order to improve MG frequency stability through management of system active power. The proposed Fuzzy-logic controller benefits from robustness and simplicity in order to ameliorate frequency deviations. To improve the efficiency of the method, Fuzzy membership function parameters are optimized based on a multi-objective function using Particle Swarm Optimization (PSO) algorithm. Finally, the proposed strategy is assessed in various scenarios.

KW - Fuzzy Logic Controller

KW - Load Frequency Control (LFC)

KW - Micro-Grid (MG)

KW - Particle Swarm Optimization (PSO)

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M3 - Conference Paper

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SN - 9781728111377

SP - 199

EP - 205

BT - Conference Proceedings - 2018 Smart Grid Conference (SGC)

A2 - Rezaei, Navid

PB - IEEE, Institute of Electrical and Electronics Engineers

CY - Piscataway NJ USA

Y2 - 28 November 2018 through 29 November 2018

ER -

A new load frequency control strategy for an AC micro-grid: PSO-based fuzzy logic controlling approach

Abstract

Conference

Keywords

UN SDGs

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