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Optimal distributed generation in green building assessment towards line loss reduction for Malaysian public hospital

Amran, M. E. and Muhtazaruddin, M. N. and Bani, N. A. and Kaidi, H. M. and Hassan, M. Z. and Sarip, S. and Muhammad-Sukki, F. (2019) Optimal distributed generation in green building assessment towards line loss reduction for Malaysian public hospital. Bulletin of Electrical Engineering and Informatics, 8 (4). pp. 1180-1188. ISSN 2089-3191

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Official URL: http://dx.doi.org/10.11591/eei.v8i4.1524


This paper presents an optimization approach for criteria setting of Renewable Distributed Generation (DG) in the Green Building Rating System (GBRS). In this study, the total line loss reduction is analyzed and set as the main objective function in the optimization process which then a reassessment of existing criteria setting for renewable energy (RE) is proposed towards lower loss outcome. Solar photovoltaic (PV)-type DG unit (PV-DG) is identified as the type of DG used in this paper. The proposed PV-DG optimization will improve the sustainable energy performance of the green building by total line losses reduction within accepted lower losses region using Artificial bee colony (ABC) algorithm. The distribution network uses bus and line data setup from selected one of each three levels of Malaysian public hospital. MATLAB simulation result shows that the PV-DG expanding capacity towards optimal scale and location provides a better outcome in minimizing total line losses within an appropriate voltage profile as compared to the current setting of PV-DG imposed in selected GBRS. Thus, reassessment of RE parameter setting and the proposed five rankings with new PV-DG setting for public hospital provides technical justification and give the best option to the green building developer for more effective RE integration.

Item Type:Article
Uncontrolled Keywords:artificial bee colony (ABC), distributed generation (DG), green building rating system (GBRS)
Subjects:T Technology > T Technology (General)
Divisions:Razak School of Engineering and Advanced Technology
ID Code:90756
Deposited By: Narimah Nawil
Deposited On:30 Apr 2021 22:30
Last Modified:30 Apr 2021 22:30

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