Title :
Transmission network optimal planning using the particle swarm optimization method
Author :
Ren, Ping ; Gao, Li-Qun ; Li, Nan ; Li, Yang ; Lin, Zhi-Ling
Author_Institution :
Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
Abstract :
In this paper, power system transmission network planning is formulated as a multi-objective mathematical optimization problem. In this context, three objectives: investment cost, reliability and environmental impact are considered in the optimization. To overcome the drawbacks of conventional mathematical optimization method in arriving at local optimum and dimension disasters, etc., we introduced the particle swarm optimization (PSO) technique into transmission network optimal planning for the first time, from which the optimal scheme is generated. 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 :
mathematical programming; particle swarm optimisation; power system economics; power system reliability; power transmission planning; search problems; environmental impact; investment cost; multiobjective mathematical optimization; particle swarm optimization; penalty function; power system transmission network planning; reliability; transmission network optimal planning; Artificial intelligence; Artificial neural networks; Costs; Investments; Linear programming; Optimization methods; Particle swarm optimization; Power generation; Power system planning; Power system reliability; Multi-objective mathematical optimization; Particle swarm optimization; Penalty function approach; Transmission network planning;
Conference_Titel :
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location :
Guangzhou, China
Print_ISBN :
0-7803-9091-1
DOI :
10.1109/ICMLC.2005.1527638