Modeling of Small Productive Processes for the Operation of a Microgrid

Danny Espín-Sarzosa, Rodrigo Palma-Behnke and Felipe Valencia
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Danny Espín-Sarzosa: Department of Electrical Engineering, Faculty of Physical and Mathematical Sciences, University of Chile, Tupper Av. 2007, Santiago 8370451, Chile
Rodrigo Palma-Behnke: Department of Electrical Engineering, Faculty of Physical and Mathematical Sciences, University of Chile, Tupper Av. 2007, Santiago 8370451, Chile
Felipe Valencia: Energy Center, Faculty of Physical and Mathematical Sciences, University of Chile, Ercilla 847, Santiago 8370450, Chile

Energies, 2021, vol. 14, issue 14, 1-19

Abstract: Small productive processes (SPPs) are promising drivers that promote the economic use of energy in microgrids (MGs). Both the complex nature of the SPPs and voltage variations make the operation of MGs challenging, since the quality of an energy management system’s (EMS) decisions depend on its characterization. The aim of this work is to propose a methodology for SPPs modeling, and to consider the influence of voltage on load consumption, which has general validity, and can be efficiently integrated into different MG EMS approaches. For this purpose, a novel extended multi-zone ZIP approach for the characterization of SPP loads and sensitivity to voltage changes is proposed. The associated framework herein presented was assessed using actual data collected from SPPs installed near the city of Arica, in northern Chile. The results showed that the proposed methodology was capable of representing the complex load behavior of the SPPs, properly considering the voltage influence. These results were compared with those obtained through common approaches found in the literature. The effectiveness of the proposed approach in representing SPP loads and their sensitivity to voltage changes was verified. The proposed scheme can be efficiently integrated into a wide range of EMS for MGs that include SPPs.

Keywords: microgrid; small productive processes; load modeling; energy management system; multi-zone ZIP load model; convex optimization (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: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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