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...
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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 |
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1725177567830343680 |