Effect of Load Model Using Ranking Identification Technique for Multi Type DG Incorporating Embedded Meta EP-Firefly Algorithm
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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2018-01-01
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| Series: | MATEC Web of Conferences |
| Online Access: | https://doi.org/10.1051/matecconf/201815001014 |
| _version_ | 1818962929195679744 |
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| author | Abdul Rahim Siti Rafidah Musirin Ismail Othman Muhammad Murtadha Hussain Muhamad Hatta |
| author_facet | Abdul Rahim Siti Rafidah Musirin Ismail Othman Muhammad Murtadha Hussain Muhamad Hatta |
| author_sort | Abdul Rahim Siti Rafidah |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-20T12:37:08Z |
| format | Article |
| id | doaj.art-82d8e5f12ca547b783c2abc3f6534693 |
| institution | Directory Open Access Journal |
| issn | 2261-236X |
| language | English |
| last_indexed | 2024-12-20T12:37:08Z |
| publishDate | 2018-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | MATEC Web of Conferences |
| spelling | doaj.art-82d8e5f12ca547b783c2abc3f65346932022-12-21T19:40:34ZengEDP SciencesMATEC Web of Conferences2261-236X2018-01-011500101410.1051/matecconf/201815001014matecconf_mucet2018_01014Effect of Load Model Using Ranking Identification Technique for Multi Type DG Incorporating Embedded Meta EP-Firefly AlgorithmAbdul Rahim Siti RafidahMusirin IsmailOthman Muhammad MurtadhaHussain Muhamad HattaThis 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.https://doi.org/10.1051/matecconf/201815001014 |
| spellingShingle | Abdul Rahim Siti Rafidah Musirin Ismail Othman Muhammad Murtadha Hussain Muhamad Hatta Effect of Load Model Using Ranking Identification Technique for Multi Type DG Incorporating Embedded Meta EP-Firefly Algorithm MATEC Web of Conferences |
| title | 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_short | 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 |
| url | https://doi.org/10.1051/matecconf/201815001014 |
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