Transmission Network Planning Using Genetic Algorithm

Author(s):  
M. T. A. P. Wickramarathna ◽  
Nalin Wickramaarachchi
2015 ◽  
Vol 737 ◽  
pp. 273-277
Author(s):  
Hai Ke Liu ◽  
Hai Yang ◽  
Ying Zhang ◽  
Yi Tao Jiang ◽  
Su Juan Zhang

This paper establishes a transmission network planning model under uncertainty market environment, and consider N-2 security of the double circuit lines on the same tower. The model is solved with the method of hierarchical genetic algorithm, finally get the future transmission network planning meet the need of reliability and the minimum cost of schemeunder uncertain environment .To build a simulation model, simulation the security impact of building circuits on the same tower to power transmission network planning.


2014 ◽  
Vol 986-987 ◽  
pp. 639-642
Author(s):  
Shen Quan Yang ◽  
Xing Wang Hu ◽  
Zhi Jie Zheng ◽  
Kui Hua Wu ◽  
Yi Qun Wang

Traditional Transmission Network Planning scheme only considers N and N-1 security , with little regard for safety of N-2 system. This paper introduces the relaxation factor establishing Transmission Network Planning model, and further considers the N-2 secure of double-circuit transmission line on the basis of relaxation on the N-1 constraints. A hierarchical genetic algorithm (HGA) Model is proposed to solve the model.The final Transmission Network Planning scheme meets the reliability requirements under uncertain environment and has the minimum overall cost.A simulation model to simulate the impact of construction of the same tower line on the investment and security of transmission network planning is builded.


AIMS Energy ◽  
2018 ◽  
Vol 6 (1) ◽  
pp. 170-186 ◽  
Author(s):  
Jiashen Teh ◽  
◽  
Ching-Ming Lai ◽  
Yu-Huei Cheng ◽  
◽  
...  

2018 ◽  
Vol 33 (1) ◽  
pp. 486-501 ◽  
Author(s):  
Alexandre Moreira ◽  
Goran Strbac ◽  
Rodrigo Moreno ◽  
Alexandre Street ◽  
Ioannis Konstantelos

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