Planeación óptima de sistemas de distribución considerando múltiples objetivos: costo de inversión, confiabilidad y pérdidas técnicas

Solanilla, Ana María Mejía; Isaza, Ricardo Alberto Hincapié; Rendón, Ramón Alfonso Gallego

doi:10.14483/udistrital.jour.tecnura.2015.1.a08

Cited by 3 publications

(2 citation statements)

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“…An example of a mixed integer nonlinear programming (MINLP) problem is the challenge of electrical distribution expansion planning that is optimal [64]. It entails making the best choices for distribution line routes, choosing the size (caliber) of conductors, locating and sizing existing and new substations, and calculating the operational expenses of the grid over the planning horizon [65,66]. The distribution system planning problem has been addressed by a number of optimization methodologies; the majority of these approaches concentrate on metropolitan network applications, some of which are briefly discussed here.…”

Section: Application Of Heuristic Methods On Ac MV Gridsmentioning

confidence: 99%

“…The grid topology has been set by the utility, which restricts the size of the solution space and transforms the original problem of planning distribution systems into a problem of choosing conductors in distribution networks in the most efficient manner. To design distribution networks taking into account a variety of objective functions, including investment costs, operating costs, and the amount of unsupplied energy, the authors introduced a multi-objective optimization model in [66]. A distribution network of 54 buses was utilized to numerically confirm the authors' theory; although, they only used the single-phase equivalent of the network in their formulation and did not compare it to exact or metaheuristic approaches.…”

Section: Application Of Heuristic Methods On Ac MV Gridsmentioning

confidence: 99%

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Modern Techniques for the Optimal Power Flow Problem: State of the Art

2022

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Due to its significance in the operation of power systems, the optimal power flow (OPF) problem has attracted increasing interest with the introduction of smart grids. Optimal power flow developed as a crucial instrument for resource planning effectiveness as well as for enhancing the performance of electrical power networks. Transmission line losses, total generation costs, FACTS (flexible alternating current transmission system) costs, voltage deviations, total power transfer capability, voltage stability, emission of generation units, system security, etc., are just a few examples of objective functions related to the electric power system that can be optimized. Due to the nonlinear nature of optimal power flow problems, the classical approaches may become locked in local optimums, hence, metaheuristic optimization techniques are frequently used to solve these issues. The most recent optimization strategies used to solve optimal power flow problems are discussed in this paper as the state of the art (according to the authors, the most pertinent studies). The presented optimization techniques are grouped according to their sources of inspiration, including human-inspired algorithms (harmony search, teaching learning-based optimization, tabu search, etc.), evolutionary-inspired algorithms (differential evolution, genetic algorithms, etc.), and physics-inspired methods (particle swarm optimization, cuckoo search algorithm, firefly algorithm, ant colony optimization algorithm, etc.).

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Section: Application Of Heuristic Methods On Ac MV Gridsmentioning

confidence: 99%

Section: Application Of Heuristic Methods On Ac MV Gridsmentioning

confidence: 99%

Modern Techniques for the Optimal Power Flow Problem: State of the Art

2022

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Planeación de capacidades operativas asociadas a la rentabilidad en empresas prestadoras de servicios. Un enfoque de dinámica de sistemas

Fernández¹,

Herrera²

2018

tecnura

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Contexto: La planeación de capacidades constituye uno de los elementos críticos en las decisiones empresariales a cualquier nivel ya que por medio de su correcta configuración y asignación se logra responder a las necesidades fluctuantes del mercado. En los procesos de planeación y programación de la capacidad de los sistemas productivos, como en la mayoría de las decisiones en el campo de ingeniería industrial, no se pueden dejar a un lado los costos relacionados con una configuración u otra, la relación entre las variables de asignación de recursos y la respuesta a los requerimientos de los clientes, que constituyen el fundamento de los modelos aplicados en los procesos relacionados con las capacidades en los sistemas organizacionales.Método: Se elaboró un modelo empleando una dinámica de sistemas, la cual permite determinar la cantidad de personal que responde a los cambios en la demanda. Se buscó la mejor utilización de la capacidad de los recursos asignados a la prestación del servicio según la rentabilidad de la unidad de negocio. A partir de datos históricos del comportamiento del sistema, se simuló el comportamiento de la demanda de servicios.Resultados: El modelo planteado permite identificar las capacidades involucradas y su cálculo en el modelamiento; además, se logra contrastar el comportamiento del modelo, el cual, mediante la búsqueda de la mejor configuración en la asignación de recursos, persigue el objetivo de maximizar la utilización de la capacidad disponible, sin dejar de lado la rentabilidad de la operación. Lo que resulta de interés para la planeación del sistema, dados los costos asociados a la subutilización de la fuerza de trabajo o la prestación insuficiente del servicio al cliente.Conclusiones: El modelo se establece como una propuesta para el análisis de capacidades operativas en empresas prestadoras de servicios que contemplen recurso humano para su ejecución, en donde se presente una demanda de servicios de diversos tipos para ser atendida por personal especializado, en diferentes jornadas de trabajo y mediante el uso de instalaciones específicas. La búsqueda de la mejor configuración de los recursos involucrados en dicha prestación de servicio permite a las empresas de este sector la continua indagación sobre la obtención de mejores índices de utilización y rentabilidad

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Heuristic Methodology for Planning AC Rural Medium-Voltage Distribution Grids

et al. 2021

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The optimal expansion of AC medium-voltage distribution grids for rural applications is addressed in this study from a heuristic perspective. The optimal routes of a distribution feeder are selected by applying the concept of a minimum spanning tree by limiting the number of branches that are connected to a substation (mixed-integer linear programming formulation). In order to choose the caliber of the conductors for the selected feeder routes, the maximum expected current that is absorbed by the loads is calculated, thereby defining the minimum thermal bound of the conductor caliber. With the topology and the initial selection of the conductors, a tabu search algorithm (TSA) is implemented to refine the solution with the help of a three-phase power flow simulation in MATLAB for three different load conditions, i.e., maximum, medium, and minimum consumption with values of 100%, 60%, and 30%, respectively. This helps in calculating the annual costs of the energy losses that will be summed with the investment cost in conductors for determining the final costs of the planning project. Numerical simulations in two test feeders comprising 9 and 25 nodes with one substation show the effectiveness of the proposed methodology regarding the final grid planning cost; in addition, the heuristic selection of the calibers using the minimum expected current absorbed by the loads provides at least 70% of the calibers that are contained in the final solution of the problem. This demonstrates the importance of using adequate starting points to potentiate metaheuristic optimizers such as the TSA.

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Planeación óptima de sistemas de distribución considerando múltiples objetivos: costo de inversión, confiabilidad y pérdidas técnicas

Cited by 3 publications

References 14 publications

Modern Techniques for the Optimal Power Flow Problem: State of the Art

Modern Techniques for the Optimal Power Flow Problem: State of the Art

Planeación de capacidades operativas asociadas a la rentabilidad en empresas prestadoras de servicios. Un enfoque de dinámica de sistemas

Heuristic Methodology for Planning AC Rural Medium-Voltage Distribution Grids

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