On transmission expansion planning considering security risk in competitive electricity markets

Author

Ma, Changhui ; Liang, Jun ; Niu, Xinsheng ; Zhang, Hengxu ; Zhang, Pengfei

Author_Institution

Shandong Electr. Res. Inst., Jinan

fYear

2008

fDate

6-9 April 2008

Firstpage

1004

Lastpage

1008

Abstract

The traditional transmission planning of merely focusing on one future scenario could not meet the practical demands. New methods and tools for transmission planning are needed in competitive electricity markets. This paper discusses the uncertainties in electricity markets, and then proposes the conception and algorithm of risk factor of transmission planning. A transmission planning model is built based on the risk factor of transmission planning. Using the Monte Carlo simulation method and the genetic algorithm, a planning scheme with the least investment risk in the face of future uncertainties can be obtained. The results of calculation examples demonstrate the feasibility and efficiency of this method.

Keywords

Monte Carlo methods; genetic algorithms; power markets; power transmission planning; risk analysis; Monte Carlo simulation method; competitive electricity markets; genetic algorithm; investment risk; risk factor; security risk; transmission expansion planning; Electricity supply industry; Electricity supply industry deregulation; Genetic algorithms; Investments; Meeting planning; Power generation; Power system planning; Power system security; Road safety; Uncertainty; Transmission expansion planning; electricity markets; genetic algorithm Monte Carlo simulation; risk; uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Electric Utility Deregulation and Restructuring and Power Technologies, 2008. DRPT 2008. Third International Conference on

Conference_Location

Nanjuing

Print_ISBN

978-7-900714-13-8

Electronic_ISBN

978-7-900714-13-8

Type

conf

DOI

10.1109/DRPT.2008.4523553

Filename

4523553