Effect of Load Model Using Ranking Identification Technique for Multi Type DG Incorporating Embedded Meta EP-Firefly Algorithm
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my.unimap-690572020-12-21T03:59:12Z Effect of Load Model Using Ranking Identification Technique for Multi Type DG Incorporating Embedded Meta EP-Firefly Algorithm Siti Rafidah, Abdul Rahim Ismail, Musirin Muhammad Murtadha, Othman Muhamad Hatta, Hussain rafidah@unimap.edu.my Distributed generation (DG) Load model Ranking Identification Technique Link to publisher's homepage at https://www.matec-conferences.org/ This paper presents the effect of load model prior to the distributed generation (DG) planning in distribution system. In achieving optimal allocation and placement of DG, a ranking identification technique was proposed in order to study the DG planning using pre-developed Embedded Meta Evolutionary Programming–Firefly Algorithm. The aim of this study is to analyze the effect of different type of DG in order to reduce the total losses considering load factor. To realize the effectiveness of the proposed technique, the IEEE 33 bus test systems was utilized as the test specimen. In this study, the proposed techniques were used to determine the DG sizing and the suitable location for DG planning. The results produced are utilized for the optimization process of DG for the benefit of power system operators and planners in the utility. The power system planner can choose the suitable size and location from the result obtained in this study with the appropriate company’s budget. The modeling of voltage dependent loads has been presented and the results show the voltage dependent load models have a significant effect on total losses of a distribution system for different DG type. 2020-12-21T03:59:12Z 2020-12-21T03:59:12Z 2018 Article MATEC Web of Conferences, vol.150, 2018, 6 pages 2261-236X (online) http://dspace.unimap.edu.my:80/xmlui/handle/123456789/69057 https://doi.org/10.1051/matecconf/201815001014 en Malaysia Technical Universities Conference on Engineering and Technology (MUCET 2017); EDP Sciences |
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Distributed generation (DG) Load model Ranking Identification Technique |
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Distributed generation (DG) Load model Ranking Identification Technique Siti Rafidah, Abdul Rahim Ismail, Musirin Muhammad Murtadha, Othman Muhamad Hatta, Hussain Effect of Load Model Using Ranking Identification Technique for Multi Type DG Incorporating Embedded Meta EP-Firefly Algorithm |
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Link to publisher's homepage at https://www.matec-conferences.org/ |
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rafidah@unimap.edu.my |
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rafidah@unimap.edu.my Siti Rafidah, Abdul Rahim Ismail, Musirin Muhammad Murtadha, Othman Muhamad Hatta, Hussain |
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Article |
author |
Siti Rafidah, Abdul Rahim Ismail, Musirin Muhammad Murtadha, Othman Muhamad Hatta, Hussain |
author_sort |
Siti Rafidah, Abdul Rahim |
title |
Effect of Load Model Using Ranking Identification Technique for Multi Type DG Incorporating Embedded Meta EP-Firefly Algorithm |
title_short |
Effect of Load Model Using Ranking Identification Technique for Multi Type DG Incorporating Embedded Meta EP-Firefly Algorithm |
title_full |
Effect of Load Model Using Ranking Identification Technique for Multi Type DG Incorporating Embedded Meta EP-Firefly Algorithm |
title_fullStr |
Effect of Load Model Using Ranking Identification Technique for Multi Type DG Incorporating Embedded Meta EP-Firefly Algorithm |
title_full_unstemmed |
Effect of Load Model Using Ranking Identification Technique for Multi Type DG Incorporating Embedded Meta EP-Firefly Algorithm |
title_sort |
effect of load model using ranking identification technique for multi type dg incorporating embedded meta ep-firefly algorithm |
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EDP Sciences |
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2020 |
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http://dspace.unimap.edu.my:80/xmlui/handle/123456789/69057 |
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1698698550062350336 |
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13.222552 |