<?xml version="1.0" encoding="UTF-8"?>
<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns="http://purl.org/rss/1.0/" xmlns:dc="http://purl.org/dc/elements/1.1/">
  <channel rdf:about="http://localhost:8080/xmlui/handle/123456789/3465">
    <title>DSpace Collection:</title>
    <link>http://localhost:8080/xmlui/handle/123456789/3465</link>
    <description />
    <items>
      <rdf:Seq>
        <rdf:li rdf:resource="http://localhost:8080/xmlui/handle/123456789/3466" />
      </rdf:Seq>
    </items>
    <dc:date>2026-06-23T06:30:00Z</dc:date>
  </channel>
  <item rdf:about="http://localhost:8080/xmlui/handle/123456789/3466">
    <title>Real Time Simulation for Load Frequency Control of Multisource  Microgrid System Using Grey Wolf Optimization Based Modifed Bias  Coefcient Diagram Method (GWO‑MBCDM) Controller</title>
    <link>http://localhost:8080/xmlui/handle/123456789/3466</link>
    <description>Title: Real Time Simulation for Load Frequency Control of Multisource  Microgrid System Using Grey Wolf Optimization Based Modifed Bias  Coefcient Diagram Method (GWO‑MBCDM) Controller
Authors: Kumar, Badal; Adhikari, Shuma; Datta, Subir; Sinha, Nidul
Abstract: This paper proposes a modifed bias (MB) and coefcient diagram method (CDM) based PID controller as a frst attempt in &#xD;
controlling frequency of a self-reliant microgrid (MG) system under extreme unfavourable scenarios. Recently developed &#xD;
meta-heuristic algorithm, Grey Wolf Optimizer (GWO), is used for optimizing the parameters of the proposed controller &#xD;
GWO). Frequency deviation arises in the system due to active power mismatch between load power demand and actual &#xD;
power generation. In order to overcome this problem the CDM based gain values and frequency biased parameters of the &#xD;
MG system are used for determining the ranges of the control parameters for optimization with GWO which ensures that &#xD;
the search points generated by the search algorithm are stable ones. Simulation of the proposed GWO optimized MB-CDM &#xD;
controller-based MG system has been successfully implemented in real time simulation platform using digital simulator &#xD;
OPAL-RT. The performance of the system is obtained using proposed controller under diferent real-life scenarios and results &#xD;
are minutely analysed. The results are further compared with other relevant recent controllers including particle swarm &#xD;
optimization (PSO) MB-CDM controller to demonstrate that the proposed controller is superior to all other controllers. &#xD;
In addition, sensitivity analysis of the proposed controller for the MG system is studied under varying system parameters. &#xD;
The Simulink results illustrate that the proposed controller gives the best dynamic response amongst all other considered &#xD;
controllers in terms of peak transient deviation and settling time</description>
    <dc:date>2020-10-21T00:00:00Z</dc:date>
  </item>
</rdf:RDF>

