Optimal allocation of distributed energy resources through simulation-based optimization

Saif, Ahmed; Pandi, V. Ravikumar; Zeineldin, H. H.; Kennedy, Scott

doi:10.1016/j.epsr.2013.05.019

Cited by 42 publications

(18 citation statements)

References 12 publications

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“…• Planificación coordinada: asociada a la reconfiguración de la red a través de la ubicación simultánea de GD, condensadores, dispositivos de protección y almacenadores de energía, considerando un determinado tiempo, en busca de mejorar las condiciones operativas del sistema [62]- [66].…”

Section: Investigaciones Futurasunclassified

Ubicación y dimensionamiento de generación distribuida: Una revisión

Grisales

Cuestas

Jaramillo

2017

Cien.Ing.Neogranadina

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La generación distribuida (GD) se presenta como un apoyo para suplir la demanda del sistema de forma localizada, lo que permite además como alternativas de generación el uso de fuentes de energía renovables a pequeña escala. Como aporte principal, este artículo presenta las consideraciones que se deben tener en cuenta al momento de analizar, modelar y solucionar el problema de ubicación y dimensionamiento de GD en la red eléctrica de distribución. Inicialmente, se enuncian los aspectos técnicos de la red, el modelado de las cargas e impactos de la GD; seguido de la formulación del modelo matemático del problema, principales técnicas de solución y metodologías aplicadas en la literatura; finalmente, se muestran las investigaciones futuras en este campo de estudio. Todo lo anterior en busca de mejorar las condiciones operativas de la red. Dentro de la revisión de los trabajos presentados por los diferentes autores, se encontró que una gran parte de los estudios se enfocan en los aspectos técnicos, sin tener en cuenta los costos asociados a la integración de GD, ni los incentivos económicos a los que puede ser susceptibles este tipo de proyectos, que son de vital importancia para evaluar la viabilidad de la propuesta de integración.

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Section: Investigaciones Futurasunclassified

Ubicación y dimensionamiento de generación distribuida: Una revisión

Grisales

Cuestas

Jaramillo

2017

Cien.Ing.Neogranadina

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“…Likewise, as a result from the research, it was detected that the low tension systems for a CA and CD MG, among the conversion devices, can reach a high reliability and efficiency, guaranteeing the operation variables from the feeding source to be governed by the principles of quality for the future's energy systems. Thus, researchers on [39] have proposed a simulation based on the optimization for determining the allocation and capacity of the DERs in an energy distribution network with an imperfect network connection. This way, the researchers used the Dynamic Optimus Power Flow (DOPF) where the first one aims to calculate the cost and reliability level from the system during one year, and then the second one is destined for reducing the costs to the minimum.…”

Section: A Study Casesmentioning

confidence: 99%

Distributed Energetic Resources: Trend, Control and Operation

Hernández¹,

Gómez²,

Rivas³

2017

IJET

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Abstract-Humanity's growing energetic demand and the need for the electric fluid coming to not interconnected zones in the world has brought with it the deployment of a huge amount of researches related to the distributed generation, the distributed energetic resources, and the smart networks. Those have been approached as mechanisms for global growth and energetic supply. Thus, this article details the researches led by a significant number of experts who have definitely generated the fundamental pillars of evolution regarding network. Moreover, when it comes to its core, where the trend, the control and the operation of the new generation schemes, they provide the change from a traditional energetic system to a sustainable energetic system. Keywords -Algorithms, renewable energy sources, distributed generation, artificial intelligence, microgrid. I. INTRODUCTION Nowadays, traditional energy systems face different types of issues such as the high amount of carbon dioxide (CO2), high generation costs, network tension variations, overloaded lines, dynamic stability issues, and service interruptions.[1], [2]. In order to face these issues, an innovative and very common approach is the generation of electric energy at a local level. This type of energy generation is called Distributed Energy (DG) and the resources that provide it are called Distributed Energetic Resources (DER) [3], [4]. In fact, due to the energy generation in proximity to the load centers, the distributed generation resources would solve the demand over the transmission networks. Today, different countries are trying to increase the penetration of distributed generation in their electronic networks. Each country attempts to use in the most appropriate way the distributed energetic resources based on its resources and conditions. Unfortunately, each DER type has its inconveniences. For example, a photovoltaic system cannot generate electricity for a continued 24h period, because its energetic source is the sun, which does not provide radiation at all times. The same applies to wind power, because the wind currents are not constant, and therefore, the required speed is not fully available for the system's continued operation. Typically, intermittence is a disadvantage of the DG resources. That is why there's a need for integrating the DER which is crucial when providing high-quality electricity and satisfying the system's demand. [5], [6].The DERs are classified into two categories: Dispatchable and not dispatchable. The first one is related to resources which output potency can be adjusted by the network operators. The second one indicates that the generated energy of the DERs cannot be adjusted by the network operators. For this last category, a particular example would the wind and solar generation units.The Microgrids (MG) are an integrated way of DER, where the loads and storage units are installed for supplying energy to small communities such as universities, hospitals, schools, towns, paths, shopping malls, as well as industrial projects. T...

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“…They reported that, low voltage AC and DC micro-grid systems with multi-converter devices can achieve high reliability, high efficiency and high quality power supply for the future energy systems. Ahmed Saif et al [65] proposed a new two-layer simulation-based optimization (SBO) method for determining the optimal allocation and capacity of DERs in a power distribution network with an imperfect grid connection. They used a dynamic optimal power flow (DOPF) routine in the first layer in order to calculate the cost and reliability level of the system over one year and then in the second layer for minimizing cost.…”

Section: Integration Of Dersmentioning

confidence: 99%