Browsing by Author "López Quizhpi, Julio César"

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AC dynamic transmission expansion planning using a hybrid optimization algorithm
(IEEE Computer Society, 2020) Morquecho, Edgar; Torres Contreras, Santiago Patricio; Matute, Nelson; Astudillo Salinas, Darwin Fabián; López Quizhpi, Julio César; Flores, Wilfredo
Dynamic Transmission Expansion Planning (DTEP) seeks to answer where, how many, and when new infrastructure should be added to the electrical system. The goal is to allow a correct and efficient operation along the planning horizon. In this research work, a load shedding formulation extended for the multistage alternating current (AC) model with the co-optimization of shunt compensation is proposed. A novel hybrid meta-heuristic is used as optimization technique to solve the DTEP problem. Solutions were obtained from IEEE 24-bus test system. For comparative purposes, the problem was also solved using static (STEP) and quasi-dynamic (QTEP) approaches.
Gestión de la energía para un sistema híbrido baterías/sistema fotovoltaico en el hogar
(Universidad de Cuenca, 2021-04-19) Mosquera Atariguana, Marlon Abel; López Quizhpi, Julio César
The current degree Project establishes the management of a hybrid system of batteries/ photovoltaic system in a home connected to the electrical system by small-scale management strategies for hybrid systems and management strategies of the demand side. Additionally, the control system incorporates the programming of home appliances focusing on optimizing the dispatch and the energy supply, searching to minimizing the consumption and cost of electricity considering the level of inconvenience that the user may have. The optimization technique used was the mixed-integer nonlinear programming algorithm, which contemplates the design of the hybrid system to function through a simple switching criterion. The simulation of the hybrid system compound by photovoltaic system and storage capacity connected to the grid executed by the tool Opti-toolbox of MATLAB
Improving the AC transmission expansion planning by using initial solutions algorithms
(IEEE Computer Society, 2020) Matute, Nelson; Flores, Wilfredo; López Quizhpi, Julio César; Astudillo Salinas, Darwin Fabián; Morquecho, Edgar; Torres Contreras, Santiago Patricio
Initial Solutions (IS) are decisive in meta-heuristics based optimization problems since they impact the performance of the optimization process. This research work proposes and compares some random and deterministic algorithms to create initial solutions based on existing expansion planning criteria to solve the AC Transmission Expansion Planning (TEP) problem. The TEP is formulated as a full non-convex optimization problem using the AC network representation. A local version of the Particle Swarm Optimization (LPSO) technique is employed to solve the TEP problem. The Garver 6-bus and IEEE 24-bus test systems are used to evaluate the IS algorithms performance. It is shown that these algorithms have great potential to improve the robustness and computational effort of meta-heuristics.
Metodología basada en optimización matemática para la solución del problema de la expansión de los alimentadores que interconectarán con la Subestación 13, perteneciente al sistema de distribución eléctrica de la Empresa Eléctrica Regional Centrosur C.A.
(Universidad de Cuenca, 2023-09-19) Guapisaca Vargas, Raúl Fabián; López Quizhpi, Julio César
The following work delineates a methodology based on mathematical optimization for solving the problem of the expansion of feeders which will interconnect with Substation #13, the feeders in question being those belonging to Empresa Eléctrica Regional Centrosur C.A. The proposed optimization model consists of a part responsible for the system diagnostics through the solution to the power flow problem, which is confirmed using Case Studies 1 to 4, and information from the CymDist commercial package. Three additional Case Studies (Cases 5, 6, and 7) are undertaken for the system plan which take the short and large term demands, of the distribution system into consideration, opting for the one that provides the best operation conditions from the point of view of energy losses and voltage profiles to apply a long-term model of second-order convex optimization. The final result indicates the necessity to balance loads for certain sections and to install fixed capacitor banks at specific nodes. The mathematical formulation of the optimization problem has an objective function that takes investment and operation costs into consideration, being composed of three terms which represent the following costs: the installation of new feeders and/or the replacement of pre-existing feeders, the installation of fixed capacitor banks, and the loss of energy. The mathematical model was implemented in AMPL 2023 and resolved using Solver CPLEX v23.
Metodología para la restauración de redes de distribución de energía eléctrica radiales
(Universidad de Cuenca, 2023-11-06) Landázuri Paredes, Carlos Emilio; López Quizhpi, Julio César
The economic and social impact caused by outages in electricity supply, both for electric utilities and consumers, can reach significant figures in extreme situations. Therefore, improving service continuity is a constant priority for electric distribution network operators, even if they meet the reliability standards established by regulations. An effective service restoration strategy can reduce the impact of interruptions and substantially improve the reliability of the distribution system. Therefore, having a methodology for optimal restoration is essential for distribution companies as it helps them operate their networks efficiently and achieve both functional and economic objectives. In this work, a methodology based on a mathematical model is proposed to restore electric supply in distribution systems after a permanent fault. The objectives of this model are to minimize the out of service load and reduce the number of switching operations required to restore the network. During this process, the physical constraints of the system are considered, such as permissible voltage levels, the load-carrying capacity of primary lines and substations, and the network topology. This ensures that the solutions found by the model are operationally feasible. To validate the effectiveness and efficiency of the methodology, simulations were conducted using a real distribution system, exploring various fault scenarios in the system. The results obtained demonstrate that the proposed methodology is a valuable tool for planning and designing effective restoration strategies in real distribution systems. This provides a solid foundation for decision-making in emergency situations.
Metodología para la solución del problema de flujos de carga en sistemas de distribución de energía eléctrica
(Universidad de Cuenca, 2020-11-06) Valladarez Briones, Andrés Mauricio; López Quizhpi, Julio César
Load flow analysis is an indispensable tool in the study of electrical distribution systems. It has a large number of applications both in planning the expansion of the system and in the operation of an electrical network. For this reason, any improvement in mathematical formulation and computational performance will be of great importance for the analysis of electrical systems. Nowadays, electrical distribution companies use commercial software that demand a high acquisition cost that use corporate licenses and that, despite having a good graphical environment, these are based on results of iterative methods which do not provide quality solutions since they are based on approximation calculations for solving a problem. This article proposes to implement a mathematical model based on an optimization problem as an alternative to solve the single-phase load flow problem in electrical energy distribution systems. The proposed methodology is based on a mathematical model based on a second-order convex optimization problem, which guarantees optimal global solutions. The proposed methodology was tested through the IEEE's 4-bar test distribution system, in addition to five real three-phase feeders from Electric Company Regional Centro Sur: 0101 with 189 nodes, 0102 with 201 nodes, 0103 with 101 nodes, 0104 with 568 nodes and 0421 with 341 nodes. To show the efficiency of the proposed methodology, the results were compared with the iterative methods offered by the commercial Cymdist tool. The results obtained show a better performance and quality of the solutions of the proposed methodology compared to the commercial Cymdist tool. In addition, it is noted that the higher the tolerance value assigned in the iterative methods, the lower the quality of the solution, even, in some cases, a lack of convergence in the results it is noted; this does not happen with the proposed model since being a mathematical model based on an optimization problem, it does not need a tolerance value, which guarantees an optimal global result.
Modelación y simulación de las redes de baja tensión de la Empresa Eléctrica Regional Centro Sur C.A
(2017) Cárdenas Cobos, José Geovanny; Jaramillo León, Brian Daniel; López Quizhpi, Julio César; Zambrano Asanza, Sergio Patricio
The present project makes the modeling and simulation of the low voltage networks of the Electrical Utility Centro Sur C.A, to estimate the technical losses and to analyze the impact of the incorporation of induction cookers in residential clients. The process of creating and validating the equipment (transformers, conductors, cables and structures) necessary for the modeling of secondary distribution networks is initially shown. Once the low voltage network is modeled, load flows are run of a representative group of low voltage networks are simulated, with the objective of analyzing the voltage profile, loadability in the lines and equipment, and mainly determining the technical losses produced in them, to finally extrapolate them to the entire low voltage system. In addition, a methodology is applied to evaluate the incorporation of electromagnetic induction cookers in five secondary distribution networks, simulating power flows by adding the load profile of the induction cooker to the residential clients of the secondary networks. Finally the conclusions and recommendations of the project are established.
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.