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97647

Enhancing the Performance of Smart Grid Using Model Predictive Control.

Article

Last updated: 22 Jan 2023

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Tags

Electrical Engineering

Abstract

Renewable energy sources such as wind energy conversion systems and photovoltaic systems are connected to the smart grid to promote the grid power. However, the output of those sources changes due to the sunlight and wind speed variations. Owing to the existence of dynamic environment, nonlinear loads, renewable energy resources, and unbalanced faults, smart grids suffer from power quality problems such as high harmonic contents, voltage sag, and voltage swell. STATCOM is a static compensator which considered as one solution to these problems as one of the flexible alternating current transmission system (FACTS) devices that are able to provide several advantages to the power grid such as controlling the power flow, enhancing system stability, and suppressing any oscillation in the grid. On the other hand, STATCOM is expensive device and needs a good controller. A proportional–integral–derivative (PID) controller works well but model predictive control (MPC) handles more than one input/output, works on real-time basis and is able to predict variables. So, the main contribution of this paper is proposing a control strategy based on MPC to regulate the instantaneous power of STATCOM to improve the power quality in the smart grid under unbalanced conditions. The proposed strategy is tested on IEEE 5-bus system connected with two distributed energy systems (photovoltaic system and wind turbine system), and nonlinear loads supported by a STATCOM/MPC and the digital simulation results using the proposed STATCOM controlled by MPC are compared with the PID controller results

DOI

10.21608/bfemu.2020.97647

Keywords

Model predictive current control, Unbalance voltage control, Smart grid, dynamic voltage and var control

Authors

First Name

Yara

Last Name

Sultan

MiddleName

Abd-allah

Affiliation

Department of Electrical Engineering, Mansoura University, Egypt

Email

yaraabdalla2@gmail.com

City

-

Orcid

-

First Name

Sahar

Last Name

Kaddah

MiddleName

Sedky

Affiliation

Prof, Electrical Engineering Department, Faculty of Engineering Mansoura University, Egypt, She is the head of Electrical Engineering Department

Email

skaddah@mans.edu.eg

City

-

Orcid

-

First Name

Mostafa

Last Name

Elhosseini

MiddleName

Abdelkhalk

Affiliation

Department of Computer engineering &Control Systems,, Mansoura University, Egypt

Email

melhosseini@gmail.com

City

-

Orcid

-

Volume

42

Article Issue

1

Related Issue

14771

Issue Date

2017-03-01

Receive Date

2016-12-28

Publish Date

2020-06-24

Page Start

1

Page End

9

Print ISSN

1110-0923

Online ISSN

2735-4202

Article File

BFEMU_Volume 42_Issue 1_Pages 1-9.pdf

PDF . 992.1kB

Link

https://bfemu.journals.ekb.eg/article_97647.html

Detail API

https://bfemu.journals.ekb.eg/service?article_code=97647

Order

8

Type

Research Studies

Type Code

1,205

Publication Type

Journal

Publication Title

MEJ. Mansoura Engineering Journal

Publication Link

https://bfemu.journals.ekb.eg/

MainTitle

-

Details

Type

Article

Created At

22 Jan 2023