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| Bimonthly Since 1986 |
ISSN 1004-9037
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| Publication Details |
Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
Distributed by:
China: All Local Post Offices
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Abstract
Load flow algorithms for power distribution systems (PDS) differ from those for transmission systems due to unique topological characteristics. The integration of renewable energy sources with electrical power systems has gained significant interest in recent years, offering environmental and financial benefits. However, this integration introduces additional uncertainties, requiring suitable uncertainty models for power systems. This paper covers both deterministic load flow (DLF) and probabilistic load flow (PLF) techniques. The IEEE-33 Bus system is utilized to assess uncertainty in line and load data. The results indicate favourable outcomes in terms of improving voltage profiles and reducing actual power losses.
Keyword
Probabilistic Load Flow (PLF), deterministicLoad Flow (DLF), Newton-Raphson Method, Forward Backward Sweeping (FBS), Power Distribution Systems(PDS).
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