The transmission network expansion planning problem is effectively solved by the improved simulated annealing approach. A mixed integer nonlinear programming model of this problem is formulated using the DC power flow model. The detailed process of simulated annealing algorithm has been improved, and applied to 6-bus and 24-bus systems. The solutions obtained by the improved SA approach are compared with solutions found using LINGO software. Numerical results have shown that the proposed approach requires less time to obtain local optimal solutions
Simulated Annealing (SA) is a powerful tool for optimization problems that have several local optima...
Optimal expansion of medium-voltage power networks is a common issue in electrical distribution plan...
Within the electric power literature the transmission expansion planning problem (TNEP) refers to th...
The transmission network expansion planning problem is effectively solved by the improved simulated ...
The transmission network expansion planning problem is effectively solved by the improved simulated ...
This paper presents a simulated annealing approach to the long term transmission expansion planning ...
The simulated annealing optimization technique has been successfully applied to a number of electric...
The simulated annealing optimization technique has been successfully applied to a number of electric...
This paper proposes a Simulated Annealing (SA) based method for distribution network expansion inclu...
The paper presents an extended genetic algorithm for solving the optimal transmission network expans...
The paper presents an extended genetic algorithm for solving the optimal transmission network expans...
The electric transmission expansion problem involves the timely addition of transmission system comp...
The electric transmission expansion problem involves the timely addition of transmission system comp...
The paper presents an extended genetic algorithm for solving the optimal transmission network expans...
In this paper, a method for solving the short term transmission network expansion planning problem i...
Simulated Annealing (SA) is a powerful tool for optimization problems that have several local optima...
Optimal expansion of medium-voltage power networks is a common issue in electrical distribution plan...
Within the electric power literature the transmission expansion planning problem (TNEP) refers to th...
The transmission network expansion planning problem is effectively solved by the improved simulated ...
The transmission network expansion planning problem is effectively solved by the improved simulated ...
This paper presents a simulated annealing approach to the long term transmission expansion planning ...
The simulated annealing optimization technique has been successfully applied to a number of electric...
The simulated annealing optimization technique has been successfully applied to a number of electric...
This paper proposes a Simulated Annealing (SA) based method for distribution network expansion inclu...
The paper presents an extended genetic algorithm for solving the optimal transmission network expans...
The paper presents an extended genetic algorithm for solving the optimal transmission network expans...
The electric transmission expansion problem involves the timely addition of transmission system comp...
The electric transmission expansion problem involves the timely addition of transmission system comp...
The paper presents an extended genetic algorithm for solving the optimal transmission network expans...
In this paper, a method for solving the short term transmission network expansion planning problem i...
Simulated Annealing (SA) is a powerful tool for optimization problems that have several local optima...
Optimal expansion of medium-voltage power networks is a common issue in electrical distribution plan...
Within the electric power literature the transmission expansion planning problem (TNEP) refers to th...