2015
DOI: 10.5370/jeet.2015.10.3.804
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An Optimal Procedure for Sizing and Siting of DGs and Smart Meters in Active Distribution Networks Considering Loss Reduction

Abstract: -The presence of responsive loads in the promising active distribution networks (ADNs) would definitely affect the power system problems such as distributed generations (DGs) studies. Hence, an optimal procedure is proposed herein which takes into account the simultaneous placement of DGs and smart meters (SMs) in ADNs. SMs are taken into consideration for the sake of successful implementing of demand response programs (DRPs) such as direct load control (DLC) with end-side consumers. Seeking to power loss mini… Show more

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Cited by 6 publications
(5 citation statements)
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“…Afterwards, an initial population is randomly generated and assessed. In this process, the most eligible parents would be more likely to survive and duplicate their genomes to the following generations . This practice is implemented by specific operators, namely, crossover and mutation.…”
Section: Methodsmentioning
confidence: 99%
“…Afterwards, an initial population is randomly generated and assessed. In this process, the most eligible parents would be more likely to survive and duplicate their genomes to the following generations . This practice is implemented by specific operators, namely, crossover and mutation.…”
Section: Methodsmentioning
confidence: 99%
“…Insofar, smart grids would play a great role in the development of smarter world having smart cities, smart homes, smart vehicles, etc. The ultimate requirement is to create systems of objects that are configured automatically and can operate autonomously [51]- [54].…”
Section: Conclusion and Recommendationsmentioning
confidence: 99%
“…Chromosome encoding of GA is the main step of the methodology proposed. In this process, the most suitable parents would be more likely to continue on their genes to following generations and then change their genetic code to the upcoming offspring . The initial population of possible solutions in this paper generates an initial population, decides the number of EVs and locations for parking lots, and then the solutions are assessed in order to optimize the objective function.…”
Section: Mathematical Formulationmentioning
confidence: 99%