02. Research Scholar Publicationshttp://10.9.150.37:8080/dspace//handle/atmiyauni/7762026-05-10T15:06:59Z2026-05-10T15:06:59ZOptimal Allocation of FACTS Devices Using Kinetic Gas Molecular Optimization and Cuckoo Search AlgorithmBhayani, Kishan JivandasPandya, Dharmesh J.http://10.9.150.37:8080/dspace//handle/atmiyauni/8572023-05-03T08:59:56Z2022-12-01T00:00:00ZOptimal Allocation of FACTS Devices Using Kinetic Gas Molecular Optimization and Cuckoo Search Algorithm
Bhayani, Kishan Jivandas; Pandya, Dharmesh J.
Recently, voltage instability is considered as a
key issue in the transmission line system due to its dynamic
load pattern and increasing load demand. Flexible AC transmission
systems (FACTS) devices are exploited to conserve
the instability of voltage by controlling real and reactive
power over the transmission system. In the transmission
network, the size and position of FACTS are important considerations
to provide a proper power flow in the system.
In this paper, optimal sizing and assignment of FACTS are
carried out by combining the kinetic gas molecular optimization
(KGMO) and cuckoo search algorithm (CSA). There
are three different FACTS devices used, namely Static VAR
compensator, Thyristor Controlled Series Compensator and
Unified Power Flow Controllers. The major objective functions
of the proposed hybrid KGMO-CSA method are minimizing
the installation cost, total voltage deviation (TVD),
Line Loading and real power loss. Moreover, the optimal
placement using the hybrid KGMO-CSA method is validated
in MATLAB software by analyzing IEEE 14-, 30- and
57-bus system. Finally, the hybrid KGMO-CSA achieved
3.6442 MW power loss and 0.1007 p.u. TVD which is less
when compared to existing quasi-oppositional chemical
reaction optimization (QOCRO).
2022-12-01T00:00:00ZPerformance Analysis of a System with Optimal SVC Device Location Using a Meta-Heuristic AlgorithmBhayani, Kishan JivandasPandya, Dharmshhttp://10.9.150.37:8080/dspace//handle/atmiyauni/8562023-05-03T07:54:30Z2023-01-01T00:00:00ZPerformance Analysis of a System with Optimal SVC Device Location Using a Meta-Heuristic Algorithm
Bhayani, Kishan Jivandas; Pandya, Dharmsh
The static and dynamic performance of power systems can be significantly enhanced using
FACTS devices. However, a key factor in determining how effectively the goal of enhancing the System
performance is accomplished on a budget is the kind, position, and rating of the FACTS devices. In order to
maximise the advantages of their installation, an objective function made up of cost, line loadings, and load
voltage variations is provided in this study, and the weights given to them define their respective relevance.
For the purpose of strengthening security under situations of increased system loading, the effects of
installing TCSC, SVC, TCSC-SVC, and UPFC on reducing the defined aim have been examined.
2023-01-01T00:00:00Z