Ingeniería Eléctrica-Pregrado

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Browsing Ingeniería Eléctrica-Pregrado by Subject "Algoritmos"

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    Análisis del intercambio cooperativo de energía eléctrica adicionando restricciones en microredes eléctricas
    (2017) León Vizhñay, Andrés Santiago; Lojano León, Andrés Patricio; Sanango Fernández, Juan Bautista
    The Electric Distribution Systems are currently supplied by the large Electrical Substations, which are in charge of feeding the consumers through the distribution networks. Now, with the use of alternative energies (wind, photovoltaic, etc.), this system changed its structure to the so-called Smart Grid. This network has many benefits for supplying demand, as well as helping to strengthen the power system and reduce electrical losses. The great advantage of a Smart Grid is to have its generation in the vicinity of the load, which leads to find the best offer of each generating or selling company electric power. The algorithm considered the best location of the distributed generation, to be able to supply the demand and reduce the losses of energy. This investigation presents an alternative for the optimization of energy losses within a smart grid. It is intended that under the concept of Cooperative Games Theory; find an algorithm that helps to improve the exchange of electric energy, reduce losses in such exchange, as well as reduce costs. The Theory of Cooperative Games seeks to form the best group or coalition (seller, buyer) that the system requires to supply the demand at a reduced cost. With this, the user can consider which generation (photovoltaic, wind, hydro, etc.) to buy the energy and what benefit (reduction of losses and costs) have with that coalition.
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    Impacto de la generación distribuida en el planeamiento de la expansión de los sistemas de transmisión
    (2018) Matute Alvarado, Nelson Esteban; Torres Contreras, Santiago Patricio
    The Transmission System Expansion Planning (TEP) consists of determining the optimal topology of the transmission network which goal is to satisfy the electrical demand projected in a certain time horizon. The optimal plan is obtained by minimizing the investment costs of transmission infrastructure and fulfilling all the technical requirements of the electrical system. Currently, technological developments have significantly reduced the investment costs of Distributed Generation (DG), which allows this new approach to be an alternative to the traditional approach of centralized generation. The incidence of GD in the electrical system could avoid the addition of new transmission circuits, which, in turn, could help to defer investments in the electrical system representing a possible saving. This work studies the economic impact of DG on TEP considering a long-term static planning (10 years) and using the mathematical AC model. The TEP, using the AC model, corresponds to a non-linear mixed-integer programming (MINLP) problem which is solved by the meta-heuristic that presents the best performance: Tabu Search (TS) and Artificial Fish Swarm Algorithm (AFSA). The results are obtained using Garver 6 - buses and IEEE 24 - buses test systems. DG is modeled as the summation of each type of small-scale generation technology concentrated in the distribution node.
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    Implementación de algoritmos genéticos para la realización del despacho económico en unidades térmicas
    (2002) Arias Reyes, Pablo Danilo; Castillo Jaramillo, Paúl Hernán; León Piedra, Raúl
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    Planeamiento de la expansión de los sistemas de transmisión considerando incertidumbre
    (2019-04-24) Sánchez Cueva, Richard Mauricio; Villacrés Enríquez, Luis Ricardo; Torres Contreras, Santiago Patricio
    The supply of electrical energy is growing rapidly in society, so that providing electrical energy from generation to consumption has taken a fundamental role in the development of humanity, making it one of the main indicators of technical, social and economic development. For this reason, It is important realize the Transmission Expansion Planning (TEP), which consists of determining the necessary infrastructure modifications to be made to the electrical transmission system in order to guarantee its correct operation in a time horizon. When considering the uncertainty in demand and generation, the TEP problem becomes even more complex to analyze. This research work presents the methodology and mathematical model to face the Transmission System Expansion Planning considering uncertainty. For the solution of the problem the AC model is used, and a simheuristic algorithm that combines the simulation with a metaheuristic algorithm. The Montecarlo simulation technique was used to treat the stochastic behavior of demand and generation, and the metaheuristic of the Ant Colony Optimization for continuous domains "ACOR" to find the optimal solution of the problem. To analyze the performance of the symheuristic algorithm, it was validated for different test scenarios on Garver 6-bus and IEEE 24-bus systems.
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    Reconfiguración óptima del sistema de distribución con generación distribuida de la Empresa Eléctrica Regional Centro Sur C.A.
    (2018) Peñaloza Morán, John Eugenio; Yumbla Romero, Jairo Gonzalo; López Quizhpi, Julio César
    The general objective of this work has been develop a computational tool capable to optimize the topology of a distribution system. The tool has the objective function to minimize de active power loss on the feeders; due to this, the voltage profile in each node is improving as well in the system to analyze. The proposed method for the reconfiguration is the genetic algorithms. This metaheuristic; in each iteration, has the characteristic of improve the solutions in combinatorial problems through their operators (crossover, mutation and selection). After carrying out the analysis and testing in IEEE testing systems, the effectiveness of the proposed method can be verified since satisfactory results were obtained with respect to reference documents that are detailed in the development of the work. Also, when carrying out the study for the distribution system of Empresa Eléctrica Regional Centro Sur, topologies with less power losses than the current topologies for each case of study. Finally, we conclude with the comparison of the results obtained in the analyzed systems, demonstrating that, when performing the reconfiguration, there is effectively a reduction of active power losses and therefore improvement in the voltage profiles at the nodes.