Distribution network reconfiguration for power quality and reliability improvement using Genetic Algorithms

Gupta, Nikhil; Swarnkar, Anil; Niazi, K. R.

doi:10.1016/j.ijepes.2013.08.016

Cited by 141 publications

(92 citation statements)

References 23 publications

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“…The results showed that when reducing purchased energy cost, the operation costs are also diminished. Similar outcomes were achieved in [60] and [61].…”

Section: Genetic Algorithm (Ga)supporting

confidence: 75%

Recent Trends of the Most Used Metaheuristic Techniques for Distribution Network Reconfiguration

Quintero-Duran

Candelo-Becerra

Sousa

2017

JESTR

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Distribution network reconfiguration (DNR) continues to be a good option to reduce technical losses in a distribution power grid. However, this non-linear combinatorial problem is not easy to assess by exact methods when solving for large distribution networks, which requires large computational times. For solving this type of problem, some researchers prefer to use metaheuristic techniques due to convergence speed, near-optimal solutions, and simple programming. Some literature reviews specialize in topics concerning the optimization of power network reconfiguration and try to cover most techniques. Nevertheless, this does not allow detailing properly the use of each technique, which is important to identify the trend. The contributions of this paper are three-fold. First, it presents the objective functions and constraints used in DNR with the most used metaheuristics. Second, it reviews the most important techniques such as particle swarm optimization (PSO), genetic algorithm (GA), simulated annealing (SA), ant colony optimization (ACO), immune algorithms (IA), and tabu search (TS). Finally, this paper presents the trend of each technique from 2011 to 2016. This paper will be useful for researchers interested in knowing the advances of recent approaches in these metaheuristics applied to DNR in order to continue developing new best algorithms and improving solutions for the topic.

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“…The results showed that when reducing purchased energy cost, the operation costs are also diminished. Similar outcomes were achieved in [60] and [61].…”

Section: Genetic Algorithm (Ga)supporting

confidence: 75%

Recent Trends of the Most Used Metaheuristic Techniques for Distribution Network Reconfiguration

Quintero-Duran

Candelo-Becerra

Sousa

2017

JESTR

View full text Add to dashboard Cite

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“…Branch current magnitudes should not exceed the designed overcurrent limitation of each branch as shown in Equation (9).…”

Section: Constraintsmentioning

confidence: 99%

“…Naveen et al [8] proposed network reconfiguration for loss minimization via modification in the BFOA. Gupta et al [9] and Duan et al [10] presented their methods to reduce power loss based on the Enhanced Genetic Algorithm (EGA). Saffar et al [11] proposed a new combined method between fuzzy and ant colony search-based algorithms where power loss reduction and load balancing were the main objectives.…”

Section: Introductionmentioning

confidence: 99%

A New Method for Distribution Network Reconfiguration Analysis under Different Load Demands

et al. 2017

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Abstract:The strategies of distribution network reconfiguration are applicable for minimizing power loss and saving electrical energy in the distribution system. Network reconfiguration is usually represented by constant load demand so ignoring the variability of load demand causes uncertainty and misleading results in the minimization of power loss. This paper consists of two parts: first, the reconfiguration was accomplished using an optimization framework based on constant load to find sets of optimal switches. The minimization of active power loss was taken as an objective function while bus voltage, branch current and system radiality were taken as system constraints. The study was applied to a 33-bus test distribution network, which is exceedingly used as test examples for solving reconfiguration problems. Second, lists of the configurations set obtained from the first part, as well as other different optimization methods proposed earlier under constant load demand were taken as test switches. Additionally, the network in the presence of distributed generators was taken to analyze the reconfiguration under an active network. Two types of load demands; the variable load and voltage-dependent load, are proposed to represent the practical load demands. This paper presents a new method for good analysis as it defines the effect of loading levels and loading patterns on a distribution system performance for passive and active networks. The proposed approach tries to find the actual power loss under different characteristics of loads. Therefore, the probable benefit of this approach is the contribution to providing more flexibility for electrical utilities in terms of distribution system operation, while also opening new prospects in the automation of smart distribution systems.

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“…En el futuro, será necesario utilizar diferentes estrategias de control con el fin de prestar servicios auxiliares tales como: soporte de potencia reactiva y control en el voltaje del sistema a la red de energía, existen escasos estudios sobre el impacto en la emisión de parpadeo cuando las centrales de energía eólica están operando bajo este tipo de estrategias de control, solo existe un conocimiento global sobre la propagación de parpadeo y atenuación en las redes, esencialmente relacionada con cargas fluctuantes, donde los flujos de potencia activa y reactiva son unidireccionales, es decir, aguas arriba a aguas abajo (Gupta et al, 2014).…”

Section: Transitoriosunclassified

Influencia de las ráfagas de viento en la calidad de la energía de los parques eólicos

2014

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(Recibido: 2014/04/30 - Aceptado: 2014/09/22)La matriz energética mundial está cambiando debido a que el consumo de energía en los últimos años se ha duplicado. En muchos países la instalación de centrales de energías renovables no convencionales se ha convertido en la solución a este crecimiento. La integración de este tipo de energías a la red eléctrica causa interés en el estudio de las propiedades eléctricas que afectan la producción de energía. Este documento es una revisión de los conceptos y fenómenos de calidad de energía y cómo estos se generan en parques eólicos. La eficiencia de los aerogeneradores se ve afectada por diversos factores, entre los cuales se destacan: las maniobras en subestaciones y los factores climáticos como las ráfagas de viento causantes de variaciones en la curva de potencia. El monitoreo constante en los sistemas eléctricos y el análisis de datos ofrece un alto potencial en la mejora de los procesos de producción y distribución de la energía.

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Distribution network reconfiguration for power quality and reliability improvement using Genetic Algorithms

Cited by 141 publications

References 23 publications

Recent Trends of the Most Used Metaheuristic Techniques for Distribution Network Reconfiguration

Recent Trends of the Most Used Metaheuristic Techniques for Distribution Network Reconfiguration

A New Method for Distribution Network Reconfiguration Analysis under Different Load Demands

Influencia de las ráfagas de viento en la calidad de la energía de los parques eólicos

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