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Title: | Optimal Allocation of Multi-DG on Distribution System Reliability and Power Losses Using Differential Evolution Algorithm |
Authors: | Chiradeja P. Yoomak S. Ngaopitakkul A. |
Keywords: | Distributed computer systems Distributed power generation Electric losses Evolutionary algorithms MATLAB Optimization Systems engineering Differential evolution algorithms DigSILENT power factories Distributed generator (DGs) Distribution system reliability Multi-objective functions Power system reliability System average interruption duration index System average interruption frequency indices Reliability |
Issue Date: | 2017 |
Abstract: | The paper proposes the effects of multi-distributed generators (multi-DGs), which is integrated into the distribution system in terms of reliability indices and power losses. The distributed generators (DGs) under the study are connected to the distribution system at 22 kV of Thanyaburi substation on the Provincial Electricity Authority (PEA), which is a part of distribution system in Thailand. Multi-objective functions are considered the effects of multi-DG to improve system reliability and power losses. Moreover, this paper has proposed to determine the system average interruption frequency index (SAIFI), the system average interruption duration index (SAIDI) and the expected interruption cost (ECOST) are evaluate as reliability indices and determine active power loss (Ploss) and reactive power loss (Qloss) of power losses in distribution system. The optimal allocation of multi-distributed generators on distribution system reliability and power losses using Differential Evolution algorithm in MATLAB calculated and investigated in DIgSILENT Power Factory program. Aggregated results can be concluded by focuses on the placement and sizing of multi-DG, which are important factors that impacting the reliability indices and power losses. © 2017 The Authors. Published by Elsevier Ltd. |
URI: | https://ir.swu.ac.th/jspui/handle/123456789/13256 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85039997420&doi=10.1016%2fj.egypro.2017.11.068&partnerID=40&md5=f6331f8c2800bdcfc74fbafce0ccb095 |
ISSN: | 18766102 |
Appears in Collections: | Scopus 1983-2021 |
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