Abstract

The use of renewable energy sources, and in particular photovoltaics, can effectively reduce the supply of household energy from the main grid, contributing to a more sustainable community. In this paper, several energy management strategies were applied to an existing microgrid with photovoltaic (PV) production and battery storage in view to supply in electricity a building and an electric vehicle located in Ajaccio, France. The purpose was to determine how the choice of a management strategy can impact the cost and the energy share in the microgrid, using the actual electricity tariff in France as well as an over-cost due to the island situation. For some strategies, a forecasting tool was introduced and its influence on the performances of the microgrid was discussed. It appears that the performance of the strategy increased with its complexity and the use of PV forecasting.

Highlights

  • The photovoltaic (PV) market is continuing to increase with, at the end of 2019, a world capacity in DC of 627 GWp [1]

  • We focused on one microgrid with the following systems: grid or islanded modes

  • The load is added on this graph and the state of charge (SoC) of the battery is presented as a subplot

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Summary

Introduction

The photovoltaic (PV) market is continuing to increase with, at the end of 2019, a world capacity in DC of 627 GWp [1]. The PV energy produced is considered between 2.6% and 3% of global electricity output today at the world level [1]. As for 2019, the PV solar cell production has increased of around. The integration of PV systems into an electrical network intensifies the complexity of the grid management [3,4,5,6], and today, it is recognized that this main drawback could be offset by the simultaneous development of: . Energy storage systems; Smart electrical grid with an optimization of the energy and power management; Forecasting methods for renewable production and user consumption. Energy generation intermittency and load variability can cause unstable power supply and high peak load [10]. The expected massive adoption of Electric Vehicles (EVs) can lead to a considerable increase of the peak

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