Optimal Energy Management within a Microgrid: A Comparative Study

Luis Orlando Polanco Vasquez, Cristian Andrés Carreño Meneses, Alejandro Pizano Martínez, Juana López Redondo, Manuel Pérez García and José Domingo Álvarez Hervás
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Luis Orlando Polanco Vasquez: Electrical Engineering Department, Campus Irapuato-Salamanca, University of Guanajuato, Guanajuato 36885, Mexico
Cristian Andrés Carreño Meneses: Electrical Engineering Department, Campus Irapuato-Salamanca, University of Guanajuato, Guanajuato 36885, Mexico
Alejandro Pizano Martínez: Electrical Engineering Department, Campus Irapuato-Salamanca, University of Guanajuato, Guanajuato 36885, Mexico
Juana López Redondo: Department of Informatics, University of Almería, Agrifood Campus of International Excellence (ceiA3) CIESOL Joint Centre University of Almería-CIEMAT, 04120 Almería, Spain
Manuel Pérez García: Department of Informatics, University of Almería, Agrifood Campus of International Excellence (ceiA3) CIESOL Joint Centre University of Almería-CIEMAT, 04120 Almería, Spain
José Domingo Álvarez Hervás: Department of Informatics, University of Almería, Agrifood Campus of International Excellence (ceiA3) CIESOL Joint Centre University of Almería-CIEMAT, 04120 Almería, Spain

Energies, 2018, vol. 11, issue 8, 1-22

Abstract: In this work, we focus on optimal energy management within the context of the tertiary control of a microgrid operating in grid-connected mode. Specifically, the optimal energy management problem is solved in a unified way by using the optimal power flow (OPF) and day-ahead concepts. The elements considered in the microgrid are a photovoltaic panel, a wind turbine, electric vehicles, a storage system, and a point of common coupling with the main grid. The aim of this paper consists of optimizing the economic energy dispatch within the microgrid considering known predictions of electricity demand, solar radiation, and wind speed for a given period of time. The OPF is solved using three different algorithms provided by the optimization toolbox of MATLAB ® (R2015a, MathWorks ® , Natick, MA, USA): the interior point method (IP), a hybrid genetic algorithm with interior point (GA-IP), and a hybrid direct search with interior point (patternsearch-IP). The efficiency and effectiveness of the algorithms to optimize the energy dispatch within the microgrid are verified and analyzed through a case study, where real climatological data of solar irradiance, wind speed in Almería city, photovoltaic system data, and room load from a bioclimatic building were considered.

Keywords: microgrid; optimal power flow; distributed power system; energy management (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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