In this paper, a Non-dominated Sorting Genetic Algorithm-II (NSGA-II) based approach is presented for distribution system reconfiguration. In contrast to the conventional GA based methods, the proposed approach does not require weighting factors for conversion of multi-objective function into an equivalent single objective function. In order to illustrate the performance of the proposed method, 33-bus and 69-bus distribution networks have been employed which have led to the desired results
This paper presents a new robust optimization technique for distribution network configuration, whic...
In the recent era the distributed generation (DG) has a lot of power setups operation. The basic adv...
In this paper a computational implementation of an evolutionary algorithm (EA) is shown in order to ...
In this paper, a Non-dominated Sorting Genetic Algorithm-II (NSGA-II) based approach is presented fo...
Abstract—This paper presents a method to solve electrical network reconfiguration problem in the pre...
In this paper a genetic algorithm based reconfiguration method is proposed to minimize the real powe...
<p>Reconfiguration, by exchanging the functional links between the elements of the system, represent...
Reconfiguration, by exchanging the functional links between the elements of the system, represents o...
Abstract-Over 50 years Malaysia is using the same power transmission channel from the colonial of th...
Growing interest in the smart grid, increasing use of distributed generation, and classical distribu...
Network reconfiguration is an important tool to optimize the operating conditions of a distribution ...
The distribution system reconfiguration (DSR) is a complex large-scale optimization problem, which i...
This paper presents novel approach for optimal distribution network reconfiguration using the combin...
Increased penetration of distributed generators (DGs) is one of the characteristics of smart grids. ...
AbstractThis paper describes the implementation of an algorithm which predicts optimum reconfigurati...
This paper presents a new robust optimization technique for distribution network configuration, whic...
In the recent era the distributed generation (DG) has a lot of power setups operation. The basic adv...
In this paper a computational implementation of an evolutionary algorithm (EA) is shown in order to ...
In this paper, a Non-dominated Sorting Genetic Algorithm-II (NSGA-II) based approach is presented fo...
Abstract—This paper presents a method to solve electrical network reconfiguration problem in the pre...
In this paper a genetic algorithm based reconfiguration method is proposed to minimize the real powe...
<p>Reconfiguration, by exchanging the functional links between the elements of the system, represent...
Reconfiguration, by exchanging the functional links between the elements of the system, represents o...
Abstract-Over 50 years Malaysia is using the same power transmission channel from the colonial of th...
Growing interest in the smart grid, increasing use of distributed generation, and classical distribu...
Network reconfiguration is an important tool to optimize the operating conditions of a distribution ...
The distribution system reconfiguration (DSR) is a complex large-scale optimization problem, which i...
This paper presents novel approach for optimal distribution network reconfiguration using the combin...
Increased penetration of distributed generators (DGs) is one of the characteristics of smart grids. ...
AbstractThis paper describes the implementation of an algorithm which predicts optimum reconfigurati...
This paper presents a new robust optimization technique for distribution network configuration, whic...
In the recent era the distributed generation (DG) has a lot of power setups operation. The basic adv...
In this paper a computational implementation of an evolutionary algorithm (EA) is shown in order to ...