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

• Autorzy: Rao Mallavolu Malleswara , Ramadas Geetha

Identyfikatory

DOI

10.2478/pead-2019-0005

• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

congestion; unified power flow controller; improved particle swarm optimization; modular multilevel converter; voltage profile

• Wydawca: De Gruyter
• Czasopismo: Power Electronics and Drives
• Rocznik: 2019
• Tom: Vol. 4 (39)
• Strony: 79--93
• Opis fizyczny: Bibliogr. 22 poz., rys.

Twórcy

autor

Rao Mallavolu Malleswara

• Anna university, Chennai, India

autor

Ramadas Geetha

• RMK Engineering College, Chennai, India

Bibliografia

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