Integrated generation and transmission planning under uncertainty using flexibility in generation

被引:0
|
作者
Arevalo, Mario [1 ]
Rios, Daniel [1 ]
Baum, Gabriel [1 ]
Blanco, Gerardo [1 ]
机构
[1] Univ Nacl Asunc, Fac Politecn, Grp Invest Sistemas Energet, Campus Univ, San Lorenzo 2111, Paraguay
关键词
Dynamic programming; Flexibility; Least Square Monte Carlo; Real Options Valuation; Stochastic simulation; Uncertainty;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The process of liberalization of power markets has changed the paradigm of planning the joint expansion of the generation and transmission segments. The assessment of this problem is even more complex when considering the uncertainties that usually determine the long-term evolution of the system. Moreover, and from the point of view of regulators and policy makers, an optimal assessment is of great interest because the lack of coordination between the two types of investment can jeopardize competition and efficiency in the whole electricity sector. In that context, this paper proposes an improved method to assess the joint expansion planning of the generation and transmission segments, considering the inherent flexibility of investments belonging the first segment, using the Real Options valuation approach, considering the Least Squares Monte Carlo method. A numerical example has been tested considering a system of two nodes. It is shown that the consideration of investments flexibility allows increasing the social benefit through the coordinated planning of the generation and transmission segments.
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页数:5
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