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      Despacho económico en sistemas de potencia considerando estabilidad transitoria Translated title: Economic dispatch in power systems considering transient stability

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          Abstract

          Resumen Contexto: El despacho económico es una metodología clásica en los sistemas de potencia que generalmente se estudia en estado estacionario; no obstante, se trata de un sistema dinámico. Método: En este artículo se abordó una metodología que presenta el problema incorporando restricciones de estabilidad transitoria. El modelo matemático incluye ecuaciones diferenciales que describen la evolución temporal de todos los generadores síncronos del sistema frente a un conjunto predefinido de contingencias. Dada la complejidad del problema se usó el algoritmo de Particle Swarm Optimization (PSO) para integrar todos los elementos considerados en el modelo. Resultados: Se demostró una rápida convergencia y soluciones de buena calidad. La metodología propuesta fue evaluada en el sistema IEEE de 39 nodos de Nueva Inglaterra. Conclusiones: Los resultados indican una reducción en el costo de operación, además de garantizar la estabilidad transitoria. El tiempo de cómputo es adecuado para ser implementado en sistemas reales.

          Translated abstract

          Abstract Context: Economic dispatch is classic methodology in power systems which is studied in stationary state despite being a dynamical problem. Method: This paper presents a methodology that considers this problem by including transient stability constraints. The mathematical model includes a set of ordinary differential equations which describes the dynamics of the systems after a failure. Due to the high complexity of the problem, we used an algorithm of Particle Swarm Optimization (PSO) to consider all the elements of the proposed model. Results: The algorithm has proved to be fast and generated good quality solutions. The proposed methodology was evaluated in the IEEE 39 node system of New England. Conclusions: The results demonstrated a reduction in the operative costs with a guaranteed stability index. Additionally, the computational time is low enough for the method to be implemented in real power systems.

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          Most cited references16

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          Nature-Inspired Metaheuristic Algorithms

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            Optimization of Power System Operation

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                Author and article information

                Contributors
                Role: ND
                Role: ND
                Role: ND
                Journal
                tecn
                Tecnura
                Tecnura
                Universidad Distrital Francisco José de Caldas (Bogotá, Distrito Capital, Colombia )
                0123-921X
                January 2017
                : 21
                : 51
                : 27-41
                Affiliations
                [02] Pereira orgnameUniversidad Tecnológica de Pereira Colombia alejandro.garces@ 123456utp.edu.co
                [03] Pereira orgnameUniversidad Tecnológica de Pereira Colombia diegogo@ 123456utp.edu.co
                [01] Pereira orgnameUniversidad Tecnológica de Pereira Colombia dialdiaz@ 123456utp.edu.co
                Article
                S0123-921X2017000100002
                10.14483/udistrital.jour.tecnura.2017.1.a02
                8f704b1e-420f-4a66-a6c1-d2f8c589f513

                This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

                History
                : 08 March 2016
                : 23 November 2016
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 16, Pages: 15
                Product

                SciELO Colombia


                economic dispatch,particle swarm optimization,optimization,estabilidad,estabilidad transitoria,stability,transient stability,optimización por enjambre de partículas,optimización,despacho económico

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