DocumentCode :
2748127
Title :
Transmission Investment Decision Based on Fuzzy Real Options Method under Uncertain Environment
Author :
Zeng Ming ; Tian Kuo ; Li Na ; Zhang Yi
Author_Institution :
Energy & Electr. Econ. Res. Center, North China Electr. Power Univ., Beijing, China
Volume :
3
fYear :
2009
fDate :
14-16 Aug. 2009
Firstpage :
355
Lastpage :
360
Abstract :
Power transmission projects are usually capital-intensive and require long leading time and construction time. Therefore this kind of investment faces much complex situation and uncertainties especially in the liberalized electricity market. The uncertain factors bring risks and affect the benefit of the investment. The traditional Discounted Cash Flow (DCF) method supposes that the present value of the project is assured and the investment process is static. It ignores the impacts of the uncertain factors on the evaluation as well as the values of flexible management. This paper analyzes the uncertain factors in transmission investment and the real options features. The present value of the transmission investment is presented in the form of trapezoidal fuzzy number. The real options theory is introduced and a new evaluation and decision support method is formulated for transmission investment evaluation. The numerical example illustrates the correctness and effectiveness of the proposed model.
Keywords :
investment; power transmission economics; construction time; discounted cash flow; flexible management; fuzzy real options; power transmission projects; transmission investment decision; trapezoidal fuzzy number; Delay estimation; Economic forecasting; Electricity supply industry; Environmental economics; Fuzzy systems; Investments; Power generation economics; Power system economics; Power transmission; Uncertainty; Fuzzy Real Options Method; Transmission Investment Decision; Uncertain Environment;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3735-1
Type :
conf
DOI :
10.1109/FSKD.2009.693
Filename :
5358984
Link To Document :
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