A genetic algorithm is used in conjunction with an efficient load flow programme to determine the optimal locations of the predefined D Gs with MATLAB & MATPOWER software. The best location for the DGs is determin ed using the genetic algorithm. The branch electrical loss is considered as the objecti ve function and the system total loss represent the fitness evaluation function for drivi ng the GA. The load flow equations are considered as equality constraints and the equation s of nodal voltage and branch capacity are considered as inequality constraints. The approach is tested on a 9 &14 bus IEEE distribution feeder. https://www.ijiert.org/paper-details?paper_id=14013
The growth in the system load accompanied by an increase of power loss in the distribution system. D...
A range of techniques have been proposed to define the optimal locations and capacities of distribut...
Distributed generation (DG) is in rising attention in power systems as a solution to environmental a...
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...
A genetic algorithm is used in conjunction with an efficient load flow programme to determine the op...
This paper presents a method for the optimal allocation of Distributed generation in distribution sy...
In distributed generation (DG) selection and installation problem in distribution networks to promot...
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...
Recent developments in the electric power and problems arising from construction and maintenance of ...
In this article the authors describe how genetic optimization algorithms can be used ...
In this paper, an optimal placement undertaken by the DGs in radial distribution system was presente...
This paper presents solution of optimal power flow problem of large distribution systems via a simpl...
The growth in the system load accompanied by an increase of power loss in the distribution system. D...
A range of techniques have been proposed to define the optimal locations and capacities of distribut...
Distributed generation (DG) is in rising attention in power systems as a solution to environmental a...
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...
A genetic algorithm is used in conjunction with an efficient load flow programme to determine the op...
This paper presents a method for the optimal allocation of Distributed generation in distribution sy...
In distributed generation (DG) selection and installation problem in distribution networks to promot...
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...
Recent developments in the electric power and problems arising from construction and maintenance of ...
In this article the authors describe how genetic optimization algorithms can be used ...
In this paper, an optimal placement undertaken by the DGs in radial distribution system was presente...
This paper presents solution of optimal power flow problem of large distribution systems via a simpl...
The growth in the system load accompanied by an increase of power loss in the distribution system. D...
A range of techniques have been proposed to define the optimal locations and capacities of distribut...
Distributed generation (DG) is in rising attention in power systems as a solution to environmental a...