Fuzzy logic control of energy storage system in microgrid operation

T. T. Teo; T. Logenthiran; W. L. Woo; K. Abidi

doi:10.1109/ISGT-Asia.2016.7796362

Fuzzy logic control of energy storage system in microgrid operation

T. T. Teo, T. Logenthiran, W. L. Woo, K. Abidi

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

36 Citations (Scopus)

Abstract

Recent development in Renewable Energy Sources (RES) have led to a higher penetration in existing power systems. As the majority of RES are intermittent by nature, it presents major challenges to the grid operators. An Energy Storage System (ESS) can be connected to mitigate this intermittent sources. When multiple renewable energy sources, flexible loads and ESS are connected to the grid, complexity of the system is significantly increased. Such problems have multiple constraints and objective hence it is challenging to design an effective rule-based control strategy. A control strategy based on fuzzy logic which is similar to human reasoning tolerates uncertainties and imprecision. The proposed fuzzy inference system (FIS) aims to reduce the grid fluctuation and increase the energy storage life-cycle by deciding when and how much to charge/discharge the ESS. A real data was used to test and validate the proposed FIS. In this paper, MATLAB/Simulink is used to create and implement the microgrid test bench and FIS. The proposed methodology is tested against a rule-based control strategy. Simulation studies were carried out on the developed model and results have shown that the proposed FIS can effectively reduce the fluctuation and prolong the life cycle of the ESS.

Original language	English
Title of host publication	2016 IEEE Innovative Smart Grid Technologies - Asia, ISGT-Asia 2016
Publisher	IEEE
Pages	65-70
Number of pages	6
ISBN (Electronic)	9781509043033
ISBN (Print)	9781509052288
DOIs	https://doi.org/10.1109/ISGT-Asia.2016.7796362
Publication status	Published - 26 Dec 2016
Externally published	Yes
Event	2016 IEEE Innovative Smart Grid Technologies - Asia, ISGT-Asia 2016 - Melbourne, Australia Duration: 28 Nov 2016 → 1 Dec 2016

Conference

Conference	2016 IEEE Innovative Smart Grid Technologies - Asia, ISGT-Asia 2016
Country/Territory	Australia
City	Melbourne
Period	28/11/16 → 1/12/16

Keywords

Battery Life Cycle
Energy Management System
Energy Storage System
Fuzzy Inference System
Microgrid

UN SDGs

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

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10.1109/ISGT-Asia.2016.7796362

Cite this

@inproceedings{6dbff397952d4a75be3f053525dee62b,

title = "Fuzzy logic control of energy storage system in microgrid operation",

abstract = "Recent development in Renewable Energy Sources (RES) have led to a higher penetration in existing power systems. As the majority of RES are intermittent by nature, it presents major challenges to the grid operators. An Energy Storage System (ESS) can be connected to mitigate this intermittent sources. When multiple renewable energy sources, flexible loads and ESS are connected to the grid, complexity of the system is significantly increased. Such problems have multiple constraints and objective hence it is challenging to design an effective rule-based control strategy. A control strategy based on fuzzy logic which is similar to human reasoning tolerates uncertainties and imprecision. The proposed fuzzy inference system (FIS) aims to reduce the grid fluctuation and increase the energy storage life-cycle by deciding when and how much to charge/discharge the ESS. A real data was used to test and validate the proposed FIS. In this paper, MATLAB/Simulink is used to create and implement the microgrid test bench and FIS. The proposed methodology is tested against a rule-based control strategy. Simulation studies were carried out on the developed model and results have shown that the proposed FIS can effectively reduce the fluctuation and prolong the life cycle of the ESS.",

keywords = "Battery Life Cycle, Energy Management System, Energy Storage System, Fuzzy Inference System, Microgrid",

author = "Teo, {T. T.} and T. Logenthiran and Woo, {W. L.} and K. Abidi",

year = "2016",

month = dec,

day = "26",

doi = "10.1109/ISGT-Asia.2016.7796362",

language = "English",

isbn = "9781509052288",

pages = "65--70",

booktitle = "2016 IEEE Innovative Smart Grid Technologies - Asia, ISGT-Asia 2016",

publisher = "IEEE",

address = "United States",

note = "2016 IEEE Innovative Smart Grid Technologies - Asia, ISGT-Asia 2016 ; Conference date: 28-11-2016 Through 01-12-2016",

}

TY - GEN

T1 - Fuzzy logic control of energy storage system in microgrid operation

AU - Teo, T. T.

AU - Logenthiran, T.

AU - Woo, W. L.

AU - Abidi, K.

PY - 2016/12/26

Y1 - 2016/12/26

N2 - Recent development in Renewable Energy Sources (RES) have led to a higher penetration in existing power systems. As the majority of RES are intermittent by nature, it presents major challenges to the grid operators. An Energy Storage System (ESS) can be connected to mitigate this intermittent sources. When multiple renewable energy sources, flexible loads and ESS are connected to the grid, complexity of the system is significantly increased. Such problems have multiple constraints and objective hence it is challenging to design an effective rule-based control strategy. A control strategy based on fuzzy logic which is similar to human reasoning tolerates uncertainties and imprecision. The proposed fuzzy inference system (FIS) aims to reduce the grid fluctuation and increase the energy storage life-cycle by deciding when and how much to charge/discharge the ESS. A real data was used to test and validate the proposed FIS. In this paper, MATLAB/Simulink is used to create and implement the microgrid test bench and FIS. The proposed methodology is tested against a rule-based control strategy. Simulation studies were carried out on the developed model and results have shown that the proposed FIS can effectively reduce the fluctuation and prolong the life cycle of the ESS.

AB - Recent development in Renewable Energy Sources (RES) have led to a higher penetration in existing power systems. As the majority of RES are intermittent by nature, it presents major challenges to the grid operators. An Energy Storage System (ESS) can be connected to mitigate this intermittent sources. When multiple renewable energy sources, flexible loads and ESS are connected to the grid, complexity of the system is significantly increased. Such problems have multiple constraints and objective hence it is challenging to design an effective rule-based control strategy. A control strategy based on fuzzy logic which is similar to human reasoning tolerates uncertainties and imprecision. The proposed fuzzy inference system (FIS) aims to reduce the grid fluctuation and increase the energy storage life-cycle by deciding when and how much to charge/discharge the ESS. A real data was used to test and validate the proposed FIS. In this paper, MATLAB/Simulink is used to create and implement the microgrid test bench and FIS. The proposed methodology is tested against a rule-based control strategy. Simulation studies were carried out on the developed model and results have shown that the proposed FIS can effectively reduce the fluctuation and prolong the life cycle of the ESS.

KW - Battery Life Cycle

KW - Energy Management System

KW - Energy Storage System

KW - Fuzzy Inference System

KW - Microgrid

U2 - 10.1109/ISGT-Asia.2016.7796362

DO - 10.1109/ISGT-Asia.2016.7796362

M3 - Conference contribution

AN - SCOPUS:85010023009

SN - 9781509052288

SP - 65

EP - 70

BT - 2016 IEEE Innovative Smart Grid Technologies - Asia, ISGT-Asia 2016

PB - IEEE

T2 - 2016 IEEE Innovative Smart Grid Technologies - Asia, ISGT-Asia 2016

Y2 - 28 November 2016 through 1 December 2016

ER -

Fuzzy logic control of energy storage system in microgrid operation

Abstract

Conference

Keywords

UN SDGs

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