Transmission Network Expansion Planning under Improved Genetic Algorithm
By H. Fan, Yi-xiong Jin. 2011
168 citations recorded by the source corpus.
Improved genetic algorithm for solving the transmission network expansion planning is presented in the paper. The module which considered the investment costs of new transmission facilities. It is a large integer linear optimization problem. In this work we present improved genetic algorithm to find the solution of excellent quality. This method adopts integer parameter encoded style and has nonlinear crossover and mutation operators, owns strong global search capability. Tests are carried out using a Brazilian Southern System and the results show the good performance.
Subfields: Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/80c50eb326269f349702e54a51d19ca3d35ab185
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In Electrical and Electronic Engineering
- M. Moeini‐Aghtaie
- M. Sami Fadali
- Rabih A. Jabr
- Steven H. Low
- Xu Andy Sun
- Santanu S. Dey
- Burak Kocuk
- Javad Lavaei
Citations in the corpus
- A Multi-Objective Transmission Expansion Planning Framework in Deregulated Power Systems With Wind Generation (2014, methodology): “TNEP has been the subject of investigation in several studies [2], [11]–[20].”
- Optimization of AC Transmission System Planning (2013, methodology): “The solution of the MINLP formulation, which results from the use of the DC model, was approached via evolutionary optimization methods; the most reported technique from this category is the genetic algorithm [15], [16], which has been also incorporated in methods that account for security constrain”