scholarly journals Optimal Localization of UPFC For Transmission Line Losses Minimizing Using Particle Swarm Optimization

2021 ◽  
Vol 39 (10) ◽  
pp. 1463-1472
Author(s):  
Ihssan Amin ◽  
Dhari Mahmood ◽  
Ali Numan
Keyword(s):  
Particle Swarm Optimization ◽  
Transmission Line ◽  
Particle Swarm ◽  
Swarm Optimization ◽  
Optimal Localization

Comparison of SVC and TCSC Installation in Transmission Line with Loss Minimization and Cost of Installation via Particle Swarm Optimization

2015 ◽  
Vol 785 ◽  
pp. 495-499
Author(s):  
Siti Amely Jumaat ◽  
Ismail Musirin
Keyword(s):  
Particle Swarm Optimization ◽  
Transmission Line ◽  
Objective Function ◽  
Transmission Loss ◽  
Particle Swarm ◽  
Static Var Compensator ◽  
Loss Minimization ◽  
Swarm Optimization ◽  
The Cost ◽  
Thyristor Controlled Series Compensator

The paper presents a comparison of performance Static Var Compensator (SVC) and Thyristor Controlled Series Compensator (TCSC) with objective function to minimize the transmission loss, improve the voltage and monitoring the cost of installation. Simulation performed on standard IEEE 30-Bus RTS and indicated that EPSO a feasible to achieve the objective function.

scholarly journals Performance Enhancement in Transmission Lines by Locating the Distributed Generators using Improved Particle Swarm Optimization Algorithm

2020 ◽  
Vol 9 (4) ◽  
pp. 1624-1628
Keyword(s):  
Particle Swarm Optimization ◽  
Transmission Line ◽  
Transmission Lines ◽  
Optimization Algorithm ◽  
Particle Swarm Optimization Algorithm ◽  
Gravitational Search Algorithm ◽  
Particle Swarm ◽  
Swarm Optimization ◽  
Improved Particle Swarm Optimization ◽  
Distributed Generators

This paper indicates the nonlinear congestion mitigation in the transmission lines. The generator active power is rescheduled to achieve the congestion- transmission line network in electrical power system. The transmission congestion in the buses can be reconfigured by using the Improved Particle Swarm Optimization Algorithm. By locating the Distributed Generators in the identified weak buses the voltage profile and the power loss in the transmission system can be improved. The proposed solution’s achievability is tested by estimating the cost of congestion on different standard IEEE transmission line networks. The algorithm have the recompense such as the capability of local search and the capability of global search in the algorithms Gravitational Search Algorithm (GSA) and Particle Swarm Optimization (PSO) algorithm respectively. Consistence with the calculation is tried by considering different contextual investigations including clog on the separate test transport arrange because of two-sided, polygonal exchanges and line blackouts.

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