DocumentCode
3076195
Title
Probabilistic analysis of the distributed power generation in weakly meshed distribution systems
Author
Peñuela, César A. ; Mauricio, Granada E. ; Mantovani, J.R.S.
Author_Institution
Electr. Power Syst. Planning Lab., UNESP, Brazil
fYear
2010
fDate
8-10 Nov. 2010
Firstpage
171
Lastpage
177
Abstract
This paper presents an approach for probabilistic analysis of unbalanced three-phase weakly meshed distribution systems considering uncertainty in load demand. In order to achieve high computational efficiency this approach uses both an efficient method for probabilistic analysis and a radial power flow. The probabilistic approach used is the well-known Two-Point Estimate Method. Meanwhile, the compensation-based radial power flow is used in order to extract benefits from the topological characteristics of the distribution systems. The generation model proposed allows modeling either PQ or PV bus on the connection point between the network and the distributed generator. In addition allows control of the generator operating conditions, such as the field current and the power delivery at terminals. Results on test with IEEE 37 bus system is given to illustrate the operation and effectiveness of the proposed approach. A Monte Carlo Simulations method is used to validate the results.
Keywords
Monte Carlo methods; distributed power generation; estimation theory; load flow; power distribution control; probability; IEEE bus system; Monte Carlo simulations; PQ bus; PV bus; compensation-based radial power flow; distributed generator; distributed power generation; probabilistic analysis; two-point estimate method; unbalanced three-phase weakly meshed distribution systems; distributed power generation; probabilistic three-phase power flow; weakly meshed distribution systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Transmission and Distribution Conference and Exposition: Latin America (T&D-LA), 2010 IEEE/PES
Conference_Location
Sao Paulo
Print_ISBN
978-1-4577-0488-8
Type
conf
DOI
10.1109/TDC-LA.2010.5762878
Filename
5762878
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