Optimal DSSC’s deployment in power system using PSO

Owing to the high cost of installation and operation, distributed flexible AC transmission system (FACTS) technology gives opportunity to provide cost-effective solution in power system operation and control. A distributed static series compensator (DSSC) is a series FACTS device and it is placed equidistantly placed on the existing line to vary the line current. Active power can be controlled in the line with the help of DSSC. This paper presents DSSC for active power flow control to enhance system loadability index and to minimize reactive power generation by generators. Since DSSC is of low power. a small value of reactance is emulated in the line. Large number of DSSC’s are distributed along the transmission line at regular intervals to realize considerable change in the current. A particle swarm optimization is implemented to determine DSSC’s emulated reactance optimally. In this condition, all the lines flowing power in their limits with increased loading condition. Maximum system loadability index is evaluated by employing optimal number of DSSC’s on the line. A multiobjective problem is formulated. One objective function is formed such that no line would become overloaded even when loading is increased. Other objective is formulated to minimize reactive power generation by generators. A compromise solution is investigated for optimally connected of DSSC devices to achieve both the objective functions. IEEE 14 bus system is taken for MATLAB simulation of DSSC compensated system.

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Publication Details

Journal
International Journal of Applied Power Engineering (IJAPE)
Published
2024-10-08
DOI
https://doi.org/10.11591/ijape.v13.i4.pp835-843
Primary Topic
Power Systems and Renewable Energy
Type
article
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article

Optimal DSSC’s deployment in power system using PSO

B. Y. Bagde, Sandeep R. Gaigowal, M. M. Renge, Manish Devendra Chawhan et al.
International Journal of Applied Power Engineering (IJAPE)
Power Systems and Renewable Energy
article

Optimal DSSC’s deployment in power system using PSO

B. Y. Bagde, Sandeep R. Gaigowal, M. M. Renge, Manish Devendra Chawhan, S. Tiwari
article en

Abstract

Owing to the high cost of installation and operation, distributed flexible AC transmission system (FACTS) technology gives opportunity to provide cost-effective solution in power system operation and control. A distributed static series compensator (DSSC) is a series FACTS device and it is placed equidistantly placed on the existing line to vary the line current. Active power can be controlled in the line with the help of DSSC. This paper presents DSSC for active power flow control to enhance system loadability index and to minimize reactive power generation by generators. Since DSSC is of low power. a small value of reactance is emulated in the line. Large number of DSSC’s are distributed along the transmission line at regular intervals to realize considerable change in the current. A particle swarm optimization is implemented to determine DSSC’s emulated reactance optimally. In this condition, all the lines flowing power in their limits with increased loading condition. Maximum system loadability index is evaluated by employing optimal number of DSSC’s on the line. A multiobjective problem is formulated. One objective function is formed such that no line would become overloaded even when loading is increased. Other objective is formulated to minimize reactive power generation by generators. A compromise solution is investigated for optimally connected of DSSC devices to achieve both the objective functions. IEEE 14 bus system is taken for MATLAB simulation of DSSC compensated system.

International Journal of Applied Power Engineering (IJAPE)Vol. 13(4)
Visvesvaraya National Institute of Technology (IN), Yashwantrao Chavan Maharashtra Open University (IN)
Openalex Percentile: Top 84%
Power Systems and Renewable Energy
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Optimal DSSC’s deployment in power system using PSO — B. Y. Bagde, Sandeep R. Gaigowal, et al. · International Journal of Applied Power Engineering (IJAPE) (2024) | TGRS Research Map | TGRS