Long term transmission expansion planning to improve power system resilience against cascading outages

2020 ◽  
pp. 106972
Author(s):  
Milad Qorbani ◽  
Turaj Amraee
2012 ◽  
Vol 2012 ◽  
pp. 1-12 ◽  
Author(s):  
Luis A. Gallego ◽  
Marcos J. Rider ◽  
Marina Lavorato ◽  
Antonio Paldilha-Feltrin

An enhanced genetic algorithm (EGA) is applied to solve the long-term transmission expansion planning (LTTEP) problem. The following characteristics of the proposed EGA to solve the static and multistage LTTEP problem are presented, (1) generation of an initial population using fast, efficient heuristic algorithms, (2) better implementation of the local improvement phase and (3) efficient solution of linear programming problems (LPs). Critical comparative analysis is made between the proposed genetic algorithm and traditional genetic algorithms. Results using some known systems show that the proposed EGA presented higher efficiency in solving the static and multistage LTTEP problem, solving a smaller number of linear programming problems to find the optimal solutions and thus finding a better solution to the multistage LTTEP problem.


2017 ◽  
Vol 2 (2) ◽  
pp. 72
Author(s):  
Maneesh Kumar ◽  
Raminder Kaur

Planning for expanding a power system under different scenarios is one of the major challenge for power engineers hence, it is very important and essential to implement a well-balanced and feasible system over a time horizon under suitable assumptions and available constraints. Transmission expansion planning is one of this task. Here it is important to develop a suitable planning structure. In this paper some analytical approaches have been implemented for specific load condition with variations in generation.


2018 ◽  
Vol 11 (102) ◽  
pp. 5047-5055
Author(s):  
Pedro Pablo Cardenas A. ◽  
Laura Monica Escobar V. ◽  
Antonio Escobar Z.

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