Title :
Optimal Expansion Planning of High-voltage Transmission Network Using the Composite Particle Swarm Optimization
Author :
Ren, Ping ; Li, Nan
Author_Institution :
Sch. of Inf. Eng., Shenyang Univ., Shenyang, China
Abstract :
The paper presents a novel solution methodology for optimal planning of high-voltage transmission network investments. This objective of the problem is to minimize capital costs needed for new network elements while meeting imposed operating constraints. The composite particle swarm optimization is proposed as the problem solution. A case on transmission network planning problem is presented to show the methodology´s feasibility and efficiency, compared with the existing optimal planning methods, the search time of the particle swarm optimization method is shorter and the result is close to the ideal solution, simultaneously.
Keywords :
investment; particle swarm optimisation; power transmission economics; power transmission planning; composite particle swarm optimization; high-voltage transmission network investments; optimal expansion planning; Biological system modeling; Investments; Load modeling; Mathematical model; Optimization; Particle swarm optimization; Planning; Composite particle swarm optimization; Expansion Planning; High-voltage transmission network; Optimal;
Conference_Titel :
Artificial Intelligence and Computational Intelligence (AICI), 2010 International Conference on
Conference_Location :
Sanya
Print_ISBN :
978-1-4244-8432-4
DOI :
10.1109/AICI.2010.42