Multiobjective Improved Particle Swarm Optimisation for Transmission Congestion and Voltage Profile Management using Multilevel UPFC

This paper proposes a multiobjective improved particle swarm optimisation (IPSO) for placing and sizing the series modular multilevel converter-based unified power flow controller (MMC-UPFC) FACTS devices to manage the transmission congestion and voltage profile in deregulated electricity markets. T...

Full description

Bibliographic Details
Main Authors: Rao Mallavolu Malleswara, Ramadas Geetha
Format: Article
Language:English
Published: Sciendo 2019-06-01
Series:Power Electronics and Drives
Subjects:
Online Access:http://www.degruyter.com/view/j/pead.2018.4.issue-1/pead-2019-0005/pead-2019-0005.xml?format=INT
id doaj-43abb00929964caabb3cbbe863b6b6e8
record_format Article
spelling doaj-43abb00929964caabb3cbbe863b6b6e82020-11-25T01:09:38ZengSciendoPower Electronics and Drives2543-42922019-06-0141799310.2478/pead-2019-0005pead-2019-0005Multiobjective Improved Particle Swarm Optimisation for Transmission Congestion and Voltage Profile Management using Multilevel UPFCRao Mallavolu Malleswara0Ramadas Geetha1Research Scholar, Anna university, Chennai, India.Professor & Hod EEE, RMK Engineering College, Chennai, IndiaThis paper proposes a multiobjective improved particle swarm optimisation (IPSO) for placing and sizing the series modular multilevel converter-based unified power flow controller (MMC-UPFC) FACTS devices to manage the transmission congestion and voltage profile in deregulated electricity markets. The proposed multiobjective IPSO algorithm is perfect for accomplishing the close ideal distributed generation (DG) sizes while conveying smooth assembly qualities contrasted with another existing algorithm. It tends to be reasoned that voltage profile and genuine power misfortunes have generous upgrades along ideal speculation on DGs in both the test frameworks. The proposed system eliminates the congestion and the power system can be easily used to solve complex and non-linear optimisation problems in a real-time manner.http://www.degruyter.com/view/j/pead.2018.4.issue-1/pead-2019-0005/pead-2019-0005.xml?format=INTcongestionunified power flow controllerimproved particle swarm optimisationmodular multilevel convertervoltage profile
collection DOAJ
language English
format Article
sources DOAJ
author Rao Mallavolu Malleswara
Ramadas Geetha
spellingShingle Rao Mallavolu Malleswara
Ramadas Geetha
Multiobjective Improved Particle Swarm Optimisation for Transmission Congestion and Voltage Profile Management using Multilevel UPFC
Power Electronics and Drives
congestion
unified power flow controller
improved particle swarm optimisation
modular multilevel converter
voltage profile
author_facet Rao Mallavolu Malleswara
Ramadas Geetha
author_sort Rao Mallavolu Malleswara
title Multiobjective Improved Particle Swarm Optimisation for Transmission Congestion and Voltage Profile Management using Multilevel UPFC
title_short Multiobjective Improved Particle Swarm Optimisation for Transmission Congestion and Voltage Profile Management using Multilevel UPFC
title_full Multiobjective Improved Particle Swarm Optimisation for Transmission Congestion and Voltage Profile Management using Multilevel UPFC
title_fullStr Multiobjective Improved Particle Swarm Optimisation for Transmission Congestion and Voltage Profile Management using Multilevel UPFC
title_full_unstemmed Multiobjective Improved Particle Swarm Optimisation for Transmission Congestion and Voltage Profile Management using Multilevel UPFC
title_sort multiobjective improved particle swarm optimisation for transmission congestion and voltage profile management using multilevel upfc
publisher Sciendo
series Power Electronics and Drives
issn 2543-4292
publishDate 2019-06-01
description This paper proposes a multiobjective improved particle swarm optimisation (IPSO) for placing and sizing the series modular multilevel converter-based unified power flow controller (MMC-UPFC) FACTS devices to manage the transmission congestion and voltage profile in deregulated electricity markets. The proposed multiobjective IPSO algorithm is perfect for accomplishing the close ideal distributed generation (DG) sizes while conveying smooth assembly qualities contrasted with another existing algorithm. It tends to be reasoned that voltage profile and genuine power misfortunes have generous upgrades along ideal speculation on DGs in both the test frameworks. The proposed system eliminates the congestion and the power system can be easily used to solve complex and non-linear optimisation problems in a real-time manner.
topic congestion
unified power flow controller
improved particle swarm optimisation
modular multilevel converter
voltage profile
url http://www.degruyter.com/view/j/pead.2018.4.issue-1/pead-2019-0005/pead-2019-0005.xml?format=INT
work_keys_str_mv AT raomallavolumalleswara multiobjectiveimprovedparticleswarmoptimisationfortransmissioncongestionandvoltageprofilemanagementusingmultilevelupfc
AT ramadasgeetha multiobjectiveimprovedparticleswarmoptimisationfortransmissioncongestionandvoltageprofilemanagementusingmultilevelupfc
_version_ 1725177567830343680