Novel binary PSO algorithm based optimization of transmission expansion planning considering power losses

International Conference on Innovation in Engineering and Vocational Education

自然科学;教育

Astuty^1 ; Haryono, T.^1

Electrical and Information Technology Department, Universitas Gadjah Mada, Yogyakarta, Indonesia^1

关键词: Binary particle swarm optimization;    Binary PSO algorithm;    Computation time;    Mathematic methods;    Optimal allocation;    Optimal solutions;    Transmission expansion planning;    Transmission power;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/128/1/012023/pdf
DOI  :  10.1088/1757-899X/128/1/012023

来源: IOP

【 摘 要 】

Transmission expansion planning (TEP) is one of the issue that have to be faced caused by addition of large scale power generation into the existing power system. Optimization need to be conducted to get optimal solution technically and economically. Several mathematic methods have been applied to provide optimal allocation of new transmission line such us genetic algorithm, particle swarm optimization and tabu search. This paper proposed novel binary particle swarm optimization (NBPSO) to determine which transmission line should be added to the existing power system. There are two scenerios in this simulation. First, considering transmission power losses and the second is regardless transmission power losses. NBPSO method successfully obtain optimal solution in short computation time. Compare to the first scenario, the number of new line in second scenario which regardless power losses is less but produces high power losses that cause the cost becoming extremely expensive.