Please use this identifier to cite or link to this item: https://ir.swu.ac.th/jspui/handle/123456789/13256
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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