Improved harmony search optimization-based TCSC placement for loss minimization

Srilakshmi, Koganti; Pandian, Arun Nambi; Babu, P. Ravi; Palanivelu, Aravindhababu

doi:10.1142/s179396232250026x

Cited by 1 publication

(1 citation statement)

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“…Adaryani M. R. and Karami A. implemented the ABC algorithm to find the best settings of the control variables for multi-objective OPF problems in a multi-objective framework [27]. Transmission loss minimization with thyristor-controlled series compensator (TCSC) using modified harmony search optimization (MHSO) at different bus systems was presented in [28] and [29].…”

Section: S Perez-london Et Al Have Proposed Contingency Ranking By Co...mentioning

confidence: 99%

FACTS placement for reactive power planning with weak node constraints using an improved symbiotic search algorithm

Gupta,

Mishra,

Babu

2023

TESEA

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In this paper, an economically feasible and reliable operation of the IEEE 57 bus system for Optimal Power Flow (OPF) is proposed. The Improved Symbiotic Organisms Search (ISOS) algorithm is proposed for effective reactive power planning as an OPF issue. Further, the optimal position of Flexible AC Transmission Systems (FACTS) is taken into consideration, by including the existing system controlling variables like reactive power generators output, transformer tapping and capacitors connected at shunt. The objective of the work is two-fold; i.e., to reduce the energy loss and to enhance the voltage profile within the prescribed limit by ensuring the economic operation and investment cost of FACTS in the system. In this work, two FACTS devices like Static Var Compensator (SVC) and Thyristor-Controlled Series Controller (TCSC) have been taken into consideration. Voltage sensitivity indicator and reactive power flow are two tools that are utilised in order to locate weak nodes for the implementation of FACTS. Finally, the performance of the ISOS algorithm is compared with that of three other state- of-the -art optimization techniques, such as, Symbiotic Organisms Search (SOS), Differential Evolution (DE) and Teaching Learning Based Optimization (TLBO). A Non-parametric statistical analysis is also performed to investigate the dominance of the ISOS algorithm over others.

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Section: S Perez-london Et Al Have Proposed Contingency Ranking By Co...mentioning

confidence: 99%