Index-based transmission for distributed generation in voltage stability and loss control incorporating optimization technique
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Published:2020-06-01
Issue:2
Volume:9
Page:244
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ISSN:2252-8938
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Container-title:IAES International Journal of Artificial Intelligence (IJ-AI)
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language:
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Short-container-title:IJ-AI
Author:
Kahar Fareed Danial Ahmad,Musirin Ismail,Nazer Muhamad Faliq Mohamad,Jelani Shahrizal,Helmi Mansor Mohd
Abstract
<span lang="EN-US">The integration of Distributed Generation (DG) in a distribution network may significantly affect distribution performance. With the penetration of DG, voltage security is no longer an issue in the transmission network. This paper presents a study of Distributed Generation on the IEEE 26-Bus Reliability Test System (RTS) with the use of Fast Voltage Stability Index (FVSI) for determining its location and incorporated with Grasshopper Optimization Algorithm (GOA) to optimize the sizing of the DG. The study emphasizes the power loss of the system in which a comparison between Evolutionary Programming (EP) and Grasshopper Optimization Algorithm is done to determine which optimization technique gives an optimal result for the DG solution. The results show that the proposed algorithm is able to provide a slightly better result compared to EP.</span>
Publisher
Institute of Advanced Engineering and Science
Subject
Electrical and Electronic Engineering,Artificial Intelligence,Information Systems and Management,Control and Systems Engineering
Cited by
1 articles.
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1. Optimal Multi Load Shedding for Voltage Security Control in Bulk Power System;2022 IEEE International Conference on Power and Energy (PECon);2022-12-05