In the future, clean energy resources from distributed generation (DG) will play an important role in electrical distribution networks.. Location and size of the distributed generators (DGs) and the number of DGs in distribution network system affect distribution network configuration in normal operating conditions and restoration conditions from faults. So, in this article, we propose using genetic algorithms to determine the location and capacity of scattered power considering the reconstruction problem of distribution network with the objective of reducing power losses. The proposed is tested on IEEE electric grid and compared with the results of other studies
Recent developments in the electric power and problems arising from construction and maintenance of ...
Distribution network planning and operation require the identification of the best topological confi...
M. Tech. Electrical EngineeringReconfiguration of electric distribution networks is treated as an op...
Abstract-Over 50 years Malaysia is using the same power transmission channel from the colonial of th...
Increasing application of DG on distribution networks is the direct impact of development of technol...
In distributed generation (DG) selection and installation problem in distribution networks to promot...
Power distribution networks typically have tie and sectionalizing switches whose states determine th...
Network reconfiguration is an important tool to optimize the operating conditions of a distribution ...
Electrical energy is an essential ingredient for the industrial and all-round development of any cou...
This paper discusses a genetic algorithm (GA) based optimal load shedding that can apply for electri...
This paper applies the distribution network reconfiguration problem to existing networks. The medium...
This paper discusses a genetic algorithm (GA) based optimal load shedding that can apply for electri...
In this paper, an optimal placement undertaken by the DGs in radial distribution system was presente...
Genetic algorithm (GA) is utilized to select most suitable Distributed Generator (DG) technology for...
In this paper a genetic algorithm based reconfiguration method is proposed to minimize the real powe...
Recent developments in the electric power and problems arising from construction and maintenance of ...
Distribution network planning and operation require the identification of the best topological confi...
M. Tech. Electrical EngineeringReconfiguration of electric distribution networks is treated as an op...
Abstract-Over 50 years Malaysia is using the same power transmission channel from the colonial of th...
Increasing application of DG on distribution networks is the direct impact of development of technol...
In distributed generation (DG) selection and installation problem in distribution networks to promot...
Power distribution networks typically have tie and sectionalizing switches whose states determine th...
Network reconfiguration is an important tool to optimize the operating conditions of a distribution ...
Electrical energy is an essential ingredient for the industrial and all-round development of any cou...
This paper discusses a genetic algorithm (GA) based optimal load shedding that can apply for electri...
This paper applies the distribution network reconfiguration problem to existing networks. The medium...
This paper discusses a genetic algorithm (GA) based optimal load shedding that can apply for electri...
In this paper, an optimal placement undertaken by the DGs in radial distribution system was presente...
Genetic algorithm (GA) is utilized to select most suitable Distributed Generator (DG) technology for...
In this paper a genetic algorithm based reconfiguration method is proposed to minimize the real powe...
Recent developments in the electric power and problems arising from construction and maintenance of ...
Distribution network planning and operation require the identification of the best topological confi...
M. Tech. Electrical EngineeringReconfiguration of electric distribution networks is treated as an op...