This paper presents a simulated annealing approach to the long term transmission expansion planning problem which is a hard, large scale combinatorial problem. The proposed approach has been compared with a more conventional optimization technique based on mathematical decomposition with a zero-one implicit enumeration procedure. Tests have been performed on three different systems. Two smaller systems for which optimal solutions are known have been used to tune the main parameters of the simulated annealing process. The simulated annealing method has then been applied to a larger example system for which no optimal solutions are known: as a result an entire family of interesting solutions have been obtained with costs about 7% less than th...
The transmission expansion planning problem in modern power systems is a large-scale, mixed-integer,...
Abstract—This paper presents a mixed-integer LP approach to the solution of the long-term transmissi...
A general methodology to optimize the weight of power transmission structures is presented in this a...
The simulated annealing optimization technique has been successfully applied to a number of electric...
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 ...
The transmission network expansion planning problem is effectively solved by the improved simulated ...
The simulated annealing optimization technique has been successfully applied to a number of electric...
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...
This paper proposes a Simulated Annealing (SA) based method for distribution network expansion inclu...
Simulated Annealing (SA) is a powerful tool for optimization problems that have several local optima...
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...
We have investigated and extensively tested three families of non-convex optimization approaches for...
The transmission expansion planning problem in modern power systems is a large-scale, mixed-integer,...
Abstract—This paper presents a mixed-integer LP approach to the solution of the long-term transmissi...
A general methodology to optimize the weight of power transmission structures is presented in this a...
The simulated annealing optimization technique has been successfully applied to a number of electric...
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 ...
The transmission network expansion planning problem is effectively solved by the improved simulated ...
The simulated annealing optimization technique has been successfully applied to a number of electric...
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...
This paper proposes a Simulated Annealing (SA) based method for distribution network expansion inclu...
Simulated Annealing (SA) is a powerful tool for optimization problems that have several local optima...
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...
We have investigated and extensively tested three families of non-convex optimization approaches for...
The transmission expansion planning problem in modern power systems is a large-scale, mixed-integer,...
Abstract—This paper presents a mixed-integer LP approach to the solution of the long-term transmissi...
A general methodology to optimize the weight of power transmission structures is presented in this a...