A Chance-Constrained Programming Based Renewable Resources Included Generation Expansion Planning Method and Its Application

Author

Sun Yingyun ; Han Tao ; Ashfaq, Ahsan

Author_Institution

State Key Lab. of Alternate Electr. Power Syst. with Renewable Energy Sources, North China Electr. Power Univ., Beijing, China

fYear

2012

fDate

27-29 March 2012

Firstpage

1

Lastpage

5

Abstract

Traditional generation expansion planning is based on the principle of certainty and not suitable for renewable energy resources (RES) included planning. The paper proposed a chance-constrained programming model to deal with the uncertainty caused by RES, and a simulation-base PSO algorithm is adopted to solve the model. The model and algorithm is used in an actual case which lie in the west of China, and the results show the effectiveness of the model and algorithm.

Keywords

particle swarm optimisation; power generation planning; power system simulation; renewable energy sources; China; chance-constrained programming; generation expansion planning; particle swarm optimization; renewable resources; simulation-base PSO algorithm; Linear programming; Mathematical model; Planning; Power generation; Power systems; Programming; Renewable energy resources;

fLanguage

English

Publisher

ieee

Conference_Titel

Power and Energy Engineering Conference (APPEEC), 2012 Asia-Pacific

Conference_Location

Shanghai

ISSN

2157-4839

Print_ISBN

978-1-4577-0545-8

Type

conf

DOI

10.1109/APPEEC.2012.6307718

Filename

6307718