Ant colony optimization and analysis of time step resolution in transmission expansion computations for wind power integration

Author

Fuchs, Ida ; Gjengedal, Terje

Author_Institution

Dept. of Electr. Power Eng., Norwegian Univ. of Sci. & Technol., Trondheim, Norway

fYear

2011

fDate

25-28 Sept. 2011

Firstpage

1

Lastpage

6

Abstract

This paper investigates the necessary time step resolution in a transmission expansion planning algorithm based on ant colony optimization. A maximal and efficient wind power integration is the main motivation for the grid expansion, which requires a planning tool dealing with wind energy fluctuations. For the analysis a power system model for the Nordic area is used, including a wind power production scenario for 2030. A comparison of simulation results with different time step resolutions, including average and peak values for wind power production, is presented in this paper.

Keywords

ant colony optimisation; power grids; power transmission planning; wind power plants; ant colony optimization; grid expansion; planning tool; time step resolution; transmission expansion computation; transmission expansion planning algorithm; wind power integration; wind power production scenario; Generators; High temperature superconductors; Investments; Load flow; Optimization; Production; Wind power generation; Ant colony optimization; Monte Carlo; computational intelligence; parallel computing; transmission expansion; wind power integration;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent System Application to Power Systems (ISAP), 2011 16th International Conference on

Conference_Location

Hersonissos

Print_ISBN

978-1-4577-0807-7

Electronic_ISBN

978-1-4577-0808-4

Type

conf

DOI

10.1109/ISAP.2011.6082213

Filename

6082213