Connecting green power sources to power grid are gradually becoming popular. Proper placement and sizing of these energy sources is important in order to obtaining their maximum potential benefits. There have been studies to allocate the DG, in which loads are generally modeled as constant power or constant current types of loads. Since most of the distribution system loads are uncontrolled and dependent on the voltage and frequency of the system. Accordingly in this study a methodology has been presented that uses genetic algorithm to optimally place the DGs in terms of locations and sizes so as to minimize the per unit locational charges for active power at buses by incorporating different voltage dependent static load models. The presenc...
Numerous advantages attained by integrating Distributed Generation (DG) in distribution systems. The...
This paper discusses a genetic algorithm (GA) based optimal load shedding that can apply for electri...
This paper proposes a model based on Fuzzy Genetic Algorithm (FGA) to determine the optimal capacity...
A genetic algorithm is used in conjunction with an efficient load flow programme to determine the op...
A genetic algorithm is used in conjunction with an efficient load flow programme to determine the op...
In distributed generation (DG) selection and installation problem in distribution networks to promot...
In this paper, an optimal placement undertaken by the DGs in radial distribution system was presente...
Environmental issues and the ever-increasing in demand of electrical energy make it necessary to hav...
A genetic algorithm is used in conjunction with an efficient load flow programme to determine the op...
The growth in the system load accompanied by an increase of power loss in the distribution system. D...
The necessity for flexible electric systems, changing regulatory and economic scenarios, energy savi...
The large amount of Distributed Generation (DG), that will be installed in the near future, drastic...
Recent developments in the electric power and problems arising from construction and maintenance of ...
This paper presents a method for the optimal allocation of Distributed generation in distribution sy...
This paper discusses a genetic algorithm (GA) based optimal load shedding that can apply for electri...
Numerous advantages attained by integrating Distributed Generation (DG) in distribution systems. The...
This paper discusses a genetic algorithm (GA) based optimal load shedding that can apply for electri...
This paper proposes a model based on Fuzzy Genetic Algorithm (FGA) to determine the optimal capacity...
A genetic algorithm is used in conjunction with an efficient load flow programme to determine the op...
A genetic algorithm is used in conjunction with an efficient load flow programme to determine the op...
In distributed generation (DG) selection and installation problem in distribution networks to promot...
In this paper, an optimal placement undertaken by the DGs in radial distribution system was presente...
Environmental issues and the ever-increasing in demand of electrical energy make it necessary to hav...
A genetic algorithm is used in conjunction with an efficient load flow programme to determine the op...
The growth in the system load accompanied by an increase of power loss in the distribution system. D...
The necessity for flexible electric systems, changing regulatory and economic scenarios, energy savi...
The large amount of Distributed Generation (DG), that will be installed in the near future, drastic...
Recent developments in the electric power and problems arising from construction and maintenance of ...
This paper presents a method for the optimal allocation of Distributed generation in distribution sy...
This paper discusses a genetic algorithm (GA) based optimal load shedding that can apply for electri...
Numerous advantages attained by integrating Distributed Generation (DG) in distribution systems. The...
This paper discusses a genetic algorithm (GA) based optimal load shedding that can apply for electri...
This paper proposes a model based on Fuzzy Genetic Algorithm (FGA) to determine the optimal capacity...