Distributed generators are one of the important external sources in the power distribution system. Installing DGs at the optimum load centers will prevent the new transmission lines extension to energize substation. The placement of the DC in HVDC system is become a research topic for researcher in power system. Various algorithms are used to optimize power injection in bus system. Analytical optimization methods (Newton Rapson etc.) have been developed for identifying the week bus in the HVDC system. In this paper, genetic algorithms (GA) is use for the identifying the power injection in 30 bus system. Optimized selection of multiple DG has been efficiently achieved using Genetic algorithm (GA). The results of DG placement has been given ...
<p>Distributed generation (DG) is an emerging concept in the electricity sector, which represents go...
The integration of plug-in electric vehicles (PEVs) to the conventional distribution system has had ...
Abstract—This paper proposes a genetic algorithm optimization technique for optimal placement of dis...
In distributed generation (DG) selection and installation problem in distribution networks to promot...
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...
Distributed generation (DG) is playing an important role in power system to improve the grid perform...
Genetic algorithm (GA) is utilized to select most suitable Distributed Generator (DG) technology for...
In this paper, the approach focused on the variables involved in assessing the quality of a distribu...
A genetic algorithm is used in conjunction with an efficient load flow programme to determine the op...
Recent developments in the electric power and problems arising from construction and maintenance of ...
AbstractDistributed generation (DG) is playing an important role in power system to improve the grid...
Increasing application of DG on distribution networks is the direct impact of development of technol...
Connecting green power sources to power grid are gradually becoming popular. Proper placement and si...
This paper presents a new methodology using Fuzzy and Real Coded Genetic Algorithm (RCGA) for the pl...
<p>Distributed generation (DG) is an emerging concept in the electricity sector, which represents go...
The integration of plug-in electric vehicles (PEVs) to the conventional distribution system has had ...
Abstract—This paper proposes a genetic algorithm optimization technique for optimal placement of dis...
In distributed generation (DG) selection and installation problem in distribution networks to promot...
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...
Distributed generation (DG) is playing an important role in power system to improve the grid perform...
Genetic algorithm (GA) is utilized to select most suitable Distributed Generator (DG) technology for...
In this paper, the approach focused on the variables involved in assessing the quality of a distribu...
A genetic algorithm is used in conjunction with an efficient load flow programme to determine the op...
Recent developments in the electric power and problems arising from construction and maintenance of ...
AbstractDistributed generation (DG) is playing an important role in power system to improve the grid...
Increasing application of DG on distribution networks is the direct impact of development of technol...
Connecting green power sources to power grid are gradually becoming popular. Proper placement and si...
This paper presents a new methodology using Fuzzy and Real Coded Genetic Algorithm (RCGA) for the pl...
<p>Distributed generation (DG) is an emerging concept in the electricity sector, which represents go...
The integration of plug-in electric vehicles (PEVs) to the conventional distribution system has had ...
Abstract—This paper proposes a genetic algorithm optimization technique for optimal placement of dis...