جهت دسترسی به کاربرگه ی زیر، از این لینک استفاده کنید. http://dl.pgu.ac.ir/handle/Hannan/113323
Title: Three-phase state estimation using hybrid particle swarm optimization
Issue Date: 28-May-2015
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Description: This paper proposes a method for three-phase state estimation (SE) in power distribution network including on-load tap changers (OLTC) for voltage control. The OLTC tap positions are essentially discrete variables from the SE point of view. Estimation of these variables in SE presents a formidable challenge. The proposed methodology combines discrete and continuous state variables (voltage magnitudes, angles, and tap positions). A hybrid particle swarm optimization (HPSO) is applied to obtain the solution. The method is tested on standard IEEE 13- and 123-bus unbalanced test system models. The proposed algorithm accurately estimates the network bus voltage magnitudes and angles, and discrete tap values. The HPSO-based tap estimation provides a more accurate estimation of losses in the network, which helps in fair allocation of cost of losses in arriving at overall cost of electricity.
URI: http://dl.pgu.ac.ir/handle/Hannan/113323
Other Identifiers: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=7110397&matchBoolean=true&searchField=Search_All&queryText=((p_Authors:nanchian+s.)+AND+p_Authors:pal+b.)
1949-3061
http://hdl.handle.net/10044/1/23286
https://dx.doi.org/10.1109/TSG.2015.2428172
Type Of Material: Other
Appears in Collections:Electrical and Electronic Engineering

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