Optimal Model for Energy Management Strategy in Smart Building with Energy Storage Systems and Electric Vehicles

Francisco Moya,José Álvarez,José Torres-Moreno

doi:10.3390/en13143605

Francisco Moya, José Álvarez + Show 1 more

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https://doi.org/10.3390/en13143605

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Journal: Energies	Publication Date: Jul 13, 2020
Citations: 13	License type: CC BY 4.0

Affiliation: District University of Bogotá, University of Almería

Abstract

The aim of this work was to develop an optimal model for an energy management strategy in a real micro-grid, which involves a smart building, a photovoltaic system with storage, and a plug-in full electric vehicle. A controller based on a mathematical algorithm was the core of each strategy, which directly acted on a relay board managing the interconnection between the different elements comprising the micro-grid. The development of an optimization model involving binary variables required an efficient code that achieved solutions in a short time. The analyzed case-study corresponded to the solar energy research center (CIESOL) smart building, a bioclimatic building, that is located at the University of Almería (Spain), designated to research in renewable energies. Using the methodologies described in this work, the total cost of the smart building energy consumption was minimized by decreasing the power supplied from the grid, especially at peak hours. Highlighting the use of a simple model that provided better performance than the current state of the art methodologies. The optimal model for energy management strategy demonstrated the advantages of using classical optimization techniques to solve this specific optimization problem, compared to a rule-based controller. The linear modeling was capable of producing a simple algorithm with less code development and a reduction in the computational effort.

Highlights

With the apparition of new trends in electricity production and consumption, the development of optimal energy management strategies is an emerging field of research
Inthese order toloads know the correctbe operation of the the relays we developed the or optimal in the experiments, might either realR1, building consumption that simulated by model for energy management strategy (OMEMS), which took real input data as it was, and (a)
In order to know the correct operation of the relays R1, R2, and R3, we developed the optimal model for energy management strategy (OMEMS), which took real input data as it was, and (a) forecasted data of the electrical load profile as input, (b) forecasted data of the photovoltaic source, and (c) the grid electricity prices

Summary

Introduction

With the apparition of new trends in electricity production and consumption, the development of optimal energy management strategies is an emerging field of research. These strategies, which must accomplish the new regulatory policies, might be evaluated by means of different metrics like self-consumption or self-efficiency, reporting the share of energy that is directly consumed in a building’s grid-connected photovoltaic (PV) system [1]. With the development of smart grids and the establishment of an advanced communications infrastructure, users can have the opportunity to manage the electrical energy consumed, with the aim of reducing costs in energy consumption [2]. On the Energies 2020, 13, 3605; doi:10.3390/en13143605 www.mdpi.com/journal/energies

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