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Design and Optimal Sizing of Microgrids

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Microgrids Design and Implementation

Abstract

This chapter introduces concepts to understand, formulate, and solve a microgrid design and optimal sizing problem. First, basic concepts of energy potential assessment are introduced, in order to determine if a location is suitable for PV and wind generation systems implementation. Second, different modeling approaches are presented and the required characteristics for the optimal microgrid sizing problem are discussed. Third, basic concepts about load estimation for the design and sizing of microgrids are introduced. Fourth, the most common microgrid sizing criteria are presented and classified according to the type of analysis. Fifth, basic concepts related to multi-objective optimization are introduced and some common design approaches and optimization algorithms are presented, emphasizing into multi-objective genetic algorithms. In addition, microgrids design commercial software is reviewed. Sixth, some IEEE standards related to the design, operation, and implementation of microgrids are presented. Finally, the chapter concludes with key remarks on microgrid design and sizing problem.

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Authors and Affiliations

  1. Universidad Industrial de Santander (UIS), Bucaramanga, Colombia

    Juan M. Rey, Javier Solano & Gabriel Ordóñez

  2. University of Campinas (UNICAMP), Campinas, Brazil

    Pedro P. Vergara

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  1. Juan M. Rey
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  2. Pedro P. Vergara
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  3. Javier Solano
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  4. Gabriel Ordóñez
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Correspondence to Juan M. Rey .

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Editors and Affiliations

  1. Institute of Electrical Systems and Energy, Federal University of Itajubá, Itajubá, Minas Gerais, Brazil

    Antonio Carlos Zambroni de Souza

  2. Electronic Engineering Department, Technical University of Catalonia, Vilanova i la Geltrú, Spain

    Miguel Castilla

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Rey, J.M., Vergara, P.P., Solano, J., Ordóñez, G. (2019). Design and Optimal Sizing of Microgrids. In: Zambroni de Souza, A., Castilla, M. (eds) Microgrids Design and Implementation. Springer, Cham. https://doi.org/10.1007/978-3-319-98687-6_13

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  • DOI: https://doi.org/10.1007/978-3-319-98687-6_13

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