Economic Dispatch in Microgrids with Renewable Energy Using Interior Point Algorithm and Lineal Constrainst

Authors

DOI:

https://doi.org/10.17230/ingciencia.13.25.5

Keywords:

Renewable energy, optimization, economic dispatch, heuristic optimization, MATPOWER

Abstract

Throughout this article simulations of possible financial firms for a system with renewable energy penetration shown when there are variations in wind speed and solar radiation for different times of day. For this test and a valid methodology to minimize the total cost of the system from the use of the interior point method used by the function fmincon MatLab. One of the contributions of this article, is that an adaptation of the restrictions of the power system to function syntax that requires these proposed restrictions are linear.

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Author Biographies

  • Dario Arango, Universidad Nacional de Colombia
    Ingeniero Electricista de la Universidad Nacional de Colombia
  • Ricardo Urrego, Universidad Nacional de Colombia
    Ingeniero Electricista de la Universidad Nacional de Colombia, estudiante de maestria en Ingeniería de Sistemas de Potencia en el Politecnico de Milano
  • Sergio Rivera, Universidad Nacional de Colombia
    Dr. Rivera is currently an assistant professor of electrical engineering at the National University of Colombia where he specializes in smart grids. He was a postdoctoral researcher at the Massachusetts Institute of Technology and the within the LIINES at the Masdar Institute of Science & Technology. 

    Prior to his postdoctoral fellowships, he was working General Motors as a Senior Process Engineer in the Manufacturing Engineering Area. Meanwhile, he was a professor of power systems in the District University where he taught courses in the reliability of power systems and electricity markets. His received his Ph.D. from the Electric Energy Institute at the national University of San Jan in Argentina. There, he proposed a methodology for short-term investment decisions in electric distribution networks considering uncertainties in planning parameters. 


    Research Interests: 
    • Reliability of Power Systems
    • Electricity Markets
    • Multi-Agent System Coordination and Control of Microgrids
    • Modern Heuristic Optimization for Power Systems.

References

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Published

2017-04-24

Issue

Vol. 13 No. 25 (2017)

Section

Articles

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How to Cite

Arango, D., Urrego, R., & Rivera, S. (2017). Economic Dispatch in Microgrids with Renewable Energy Using Interior Point Algorithm and Lineal Constrainst. Ingeniería Y Ciencia, 13(25), 123-152. https://doi.org/10.17230/ingciencia.13.25.5