Title :
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
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;
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2012 Asia-Pacific
Conference_Location :
Shanghai
Print_ISBN :
978-1-4577-0545-8
DOI :
10.1109/APPEEC.2012.6307718
