DocumentCode :
3076634
Title :
Valuing investments in distribution networks with DG under uncertainty
Author :
Buzarquis, Enrique ; Blanco, Gerardo A. ; Olsina, Fernando ; Garcés, Francisco F.
Author_Institution :
Inst. de Energia Electr. (IEE), Univ. Nac. de San Juan (UNSJ), San Juan, Argentina
fYear :
2010
fDate :
8-10 Nov. 2010
Firstpage :
341
Lastpage :
348
Abstract :
After deregulation of the electricity sector, Distributed Generation (DG)has received increasing interest in the power systems development. The identification of efficient and well-timed investments in electric distribution networks that cope with large power market uncertainties is currently an open issue of significant research interest. Strategic flexibility for seizing opportunities and cutting losses contingent upon an unfavorable unfolding of the long-term uncertainties is an attribute of enormous value when assessing irreversible investments in Distribution Systems. In this sense, DG units appear as an effective manner of adding flexibility to the distribution expansion planning. This article proposes an investment valuation approach which properly assesses the option value of deferring investments in distribution feeders whereas gaining flexibility by investing in DG units. The flexibility provided by DG investments -option to abandon and to relocate-is assessed through a Real Option Valuation approach based on the novel Least Square Monte Carlo method (LSM).In order to illustrate the feasibility of the proposed valuation approach, a traditional expansion strategy (distribution feeders) and a flexible investment strategy (distribution feeders and DG) are compared in a study case. The article shows that a proper arrangement of feeders and DG may lead to efficient investments by allowing a progressive adaptation of the distribution grid to the changing scenarios.
Keywords :
Monte Carlo methods; distributed power generation; investment; least mean squares methods; power distribution economics; power distribution lines; power distribution planning; power grids; power markets; DG units; distributed generation; distribution expansion planning; distribution feeders; distribution grid; distribution systems; electric distribution network investment; electricity sector deregulation; flexible investment strategy; investment valuation approach; least square Monte Carlo method; power market uncertainty; power systems; real option valuation approach; Cost accounting; Investments; Monte Carlo methods; Planning; Portfolios; Stochastic processes; Uncertainty; Distributed generation; Distribution systems; Flexibility; Investment; LSM Monte Carlo; Real options; Uncertainty; Valuation;
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.2010.5762904
Filename :
5762904
Link To Document :
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