Add to ORKGA genetic algorithm is used in conjunction with an efficient load flow programme to determine the optimal locations of the predefined DGs with MATLAB & MATPOWER software. The best location for the DGs is determined using the genetic algorithm. The branch electrical loss is considered as the objective function and the system total loss represent the fitness evaluation function for driving the GA. The load flow equations are considered as equality constraints and the equations of nodal voltage and branch capacity are considered as inequality constraints. The approach is tested on a 9 &14 bus IEEE distribution feeder
In this paper, an optimal placement undertaken by the DGs in radial distribution system was presente...
AbstractDistributed generation (DG) is playing an important role in power system to improve the grid...
A range of techniques have been proposed to define the optimal locations and capacities of distribut...
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...
This paper presents a method for the optimal allocation of Distributed generation in distribution sy...
Connecting green power sources to power grid are gradually becoming popular. Proper placement and si...
Genetic algorithm (GA) is utilized to select most suitable Distributed Generator (DG) technology for...
Abstract—This paper proposes a genetic algorithm optimization technique for optimal placement of dis...
In this article the authors describe how genetic optimization algorithms can be used ...
Recent developments in the electric power and problems arising from construction and maintenance of ...
Distributed generators are one of the important external sources in the power distribution system. I...
Distributed generation (DG) is playing an important role in power system to improve the grid perform...
Increasing application of DG on distribution networks is the direct impact of development of technol...
In this paper, an optimal placement undertaken by the DGs in radial distribution system was presente...
AbstractDistributed generation (DG) is playing an important role in power system to improve the grid...
A range of techniques have been proposed to define the optimal locations and capacities of distribut...
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...
This paper presents a method for the optimal allocation of Distributed generation in distribution sy...
Connecting green power sources to power grid are gradually becoming popular. Proper placement and si...
Genetic algorithm (GA) is utilized to select most suitable Distributed Generator (DG) technology for...
Abstract—This paper proposes a genetic algorithm optimization technique for optimal placement of dis...
In this article the authors describe how genetic optimization algorithms can be used ...
Recent developments in the electric power and problems arising from construction and maintenance of ...
Distributed generators are one of the important external sources in the power distribution system. I...
Distributed generation (DG) is playing an important role in power system to improve the grid perform...
Increasing application of DG on distribution networks is the direct impact of development of technol...
In this paper, an optimal placement undertaken by the DGs in radial distribution system was presente...
AbstractDistributed generation (DG) is playing an important role in power system to improve the grid...
A range of techniques have been proposed to define the optimal locations and capacities of distribut...