Intelligent Controller for Energy Storage System in Grid-Connected Microgrid

Tiong Teck Teo; Thillainathan Logenthiran; Wai Lok Woo; Khalid Abidi

doi:10.1109/TSMC.2018.2881458

Intelligent Controller for Energy Storage System in Grid-Connected Microgrid

Tiong Teck Teo, Thillainathan Logenthiran, Wai Lok Woo, Khalid Abidi

Computer Information Sciences Department

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

14 Citations (Scopus)

Abstract

This paper presents the design of a fuzzy logic-based controller to be embedded in a grid-connected microgrid with renewable and energy storage capability. The objectives of the controller is to control the charge and discharge rate of the energy storage system (ESS) to reduce the end-user operating cost through arbitrage operation of the ESS and reducing the power exchange between the main and microgrid. Instead of using a forecasting-based approach, the proposed methodology takes the difference between the available renewable generation and load, state-of-charge of ESS, and electricity market price to determine the charge and discharge rate of the ESS in a rolling horizon. A comparison with other controllers with similar objectives shows that the proposed controller can achieve a lower operating cost and reduce the power exchange between the main and microgrid.

Original language	English
Number of pages	9
Journal	IEEE Transactions on Systems, Man, and Cybernetics: Systems
DOIs	https://doi.org/10.1109/TSMC.2018.2881458
Publication status	Published - 5 Dec 2018

Keywords

Electricity market
energy management system
fuzzy logic
renewable source
storage system

UN SDGs

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

Access to Document

10.1109/TSMC.2018.2881458

Cite this

@article{2f5809bf16ad4a56b5855e480870d009,

title = "Intelligent Controller for Energy Storage System in Grid-Connected Microgrid",

abstract = "This paper presents the design of a fuzzy logic-based controller to be embedded in a grid-connected microgrid with renewable and energy storage capability. The objectives of the controller is to control the charge and discharge rate of the energy storage system (ESS) to reduce the end-user operating cost through arbitrage operation of the ESS and reducing the power exchange between the main and microgrid. Instead of using a forecasting-based approach, the proposed methodology takes the difference between the available renewable generation and load, state-of-charge of ESS, and electricity market price to determine the charge and discharge rate of the ESS in a rolling horizon. A comparison with other controllers with similar objectives shows that the proposed controller can achieve a lower operating cost and reduce the power exchange between the main and microgrid.",

keywords = "Electricity market, energy management system, fuzzy logic, renewable source, storage system",

author = "Teo, {Tiong Teck} and Thillainathan Logenthiran and Woo, {Wai Lok} and Khalid Abidi",

year = "2018",

month = dec,

day = "5",

doi = "10.1109/TSMC.2018.2881458",

language = "English",

journal = "IEEE Transactions on Systems, Man, and Cybernetics: Systems",

issn = "1083-4427",

publisher = "IEEE",

}

TY - JOUR

T1 - Intelligent Controller for Energy Storage System in Grid-Connected Microgrid

AU - Teo, Tiong Teck

AU - Logenthiran, Thillainathan

AU - Woo, Wai Lok

AU - Abidi, Khalid

PY - 2018/12/5

Y1 - 2018/12/5

N2 - This paper presents the design of a fuzzy logic-based controller to be embedded in a grid-connected microgrid with renewable and energy storage capability. The objectives of the controller is to control the charge and discharge rate of the energy storage system (ESS) to reduce the end-user operating cost through arbitrage operation of the ESS and reducing the power exchange between the main and microgrid. Instead of using a forecasting-based approach, the proposed methodology takes the difference between the available renewable generation and load, state-of-charge of ESS, and electricity market price to determine the charge and discharge rate of the ESS in a rolling horizon. A comparison with other controllers with similar objectives shows that the proposed controller can achieve a lower operating cost and reduce the power exchange between the main and microgrid.

AB - This paper presents the design of a fuzzy logic-based controller to be embedded in a grid-connected microgrid with renewable and energy storage capability. The objectives of the controller is to control the charge and discharge rate of the energy storage system (ESS) to reduce the end-user operating cost through arbitrage operation of the ESS and reducing the power exchange between the main and microgrid. Instead of using a forecasting-based approach, the proposed methodology takes the difference between the available renewable generation and load, state-of-charge of ESS, and electricity market price to determine the charge and discharge rate of the ESS in a rolling horizon. A comparison with other controllers with similar objectives shows that the proposed controller can achieve a lower operating cost and reduce the power exchange between the main and microgrid.

KW - Electricity market

KW - energy management system

KW - fuzzy logic

KW - renewable source

KW - storage system

U2 - 10.1109/TSMC.2018.2881458

DO - 10.1109/TSMC.2018.2881458

M3 - Article

SN - 1083-4427

JO - IEEE Transactions on Systems, Man, and Cybernetics: Systems

JF - IEEE Transactions on Systems, Man, and Cybernetics: Systems

ER -

Intelligent Controller for Energy Storage System in Grid-Connected Microgrid

Abstract

Keywords

UN SDGs

Access to Document

Fingerprint

Cite this