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    <title>DSpace Collection:</title>
    <link>http://10.9.150.37:8080/dspace//handle/atmiyauni/777</link>
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    <pubDate>Mon, 27 Apr 2026 18:58:46 GMT</pubDate>
    <dc:date>2026-04-27T18:58:46Z</dc:date>
    <item>
      <title>Optimal Allocation of FACTS Devices Using Kinetic Gas Molecular Optimization and Cuckoo Search Algorithm</title>
      <link>http://10.9.150.37:8080/dspace//handle/atmiyauni/857</link>
      <description>Title: Optimal Allocation of FACTS Devices Using Kinetic Gas Molecular Optimization and Cuckoo Search Algorithm
Authors: Bhayani, Kishan Jivandas; Pandya, Dharmesh J.
Abstract: Recently, voltage instability is considered as a&#xD;
key issue in the transmission line system due to its dynamic&#xD;
load pattern and increasing load demand. Flexible AC transmission&#xD;
systems (FACTS) devices are exploited to conserve&#xD;
the instability of voltage by controlling real and reactive&#xD;
power over the transmission system. In the transmission&#xD;
network, the size and position of FACTS are important considerations&#xD;
to provide a proper power flow in the system.&#xD;
In this paper, optimal sizing and assignment of FACTS are&#xD;
carried out by combining the kinetic gas molecular optimization&#xD;
(KGMO) and cuckoo search algorithm (CSA). There&#xD;
are three different FACTS devices used, namely Static VAR&#xD;
compensator, Thyristor Controlled Series Compensator and&#xD;
Unified Power Flow Controllers. The major objective functions&#xD;
of the proposed hybrid KGMO-CSA method are minimizing&#xD;
the installation cost, total voltage deviation (TVD),&#xD;
Line Loading and real power loss. Moreover, the optimal&#xD;
placement using the hybrid KGMO-CSA method is validated&#xD;
in MATLAB software by analyzing IEEE 14-, 30- and&#xD;
57-bus system. Finally, the hybrid KGMO-CSA achieved&#xD;
3.6442 MW power loss and 0.1007 p.u. TVD which is less&#xD;
when compared to existing quasi-oppositional chemical&#xD;
reaction optimization (QOCRO).</description>
      <pubDate>Thu, 01 Dec 2022 00:00:00 GMT</pubDate>
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      <dc:date>2022-12-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Performance Analysis of a System with Optimal SVC Device Location Using a Meta-Heuristic Algorithm</title>
      <link>http://10.9.150.37:8080/dspace//handle/atmiyauni/856</link>
      <description>Title: Performance Analysis of a System with Optimal SVC Device Location Using a Meta-Heuristic Algorithm
Authors: Bhayani, Kishan Jivandas; Pandya, Dharmsh
Abstract: The static and dynamic performance of power systems can be significantly enhanced using&#xD;
FACTS devices. However, a key factor in determining how effectively the goal of enhancing the System&#xD;
performance is accomplished on a budget is the kind, position, and rating of the FACTS devices. In order to&#xD;
maximise the advantages of their installation, an objective function made up of cost, line loadings, and load&#xD;
voltage variations is provided in this study, and the weights given to them define their respective relevance.&#xD;
For the purpose of strengthening security under situations of increased system loading, the effects of&#xD;
installing TCSC, SVC, TCSC-SVC, and UPFC on reducing the defined aim have been examined.</description>
      <pubDate>Sun, 01 Jan 2023 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://10.9.150.37:8080/dspace//handle/atmiyauni/856</guid>
      <dc:date>2023-01-01T00:00:00Z</dc:date>
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