## 4 Conclusions
It is obvious that further integration of renewable generation facilities into LV distribution grids would have to be accompanied by improvements in the state of the network analysis and grid control, which would require improvements in metering and data acquisition, communications, and information processing systems. Furthermore, the impact of each plant will depend in each case not only on its size and characteristics, but also on the strength of the network and the state of the grid in each specific PCC, so it is essential to perform this analysis for all renewable generation installations that are connected to the grid. Therefore, PV installation monitoring systems themselves can make an important contribution in this respect, to be able to make an initial assessment of the impact of each PV installation on some of the grid parameters without the need for additional measurement systems. Knowing how these inverters measure, and in each case having inverter models that can record grid parameters throughout the day, not only during the time when they produce energy, to assess the state of the grid without production injection, is essential to be able to use this resource available to most small PV installations. In future work, the intention is to carry out this analysis in some PV installations with higher rated power, in the order of MW, and even installations that feed into medium voltage (MV) grids, with the aim to analyse the impact on the grid of the production of these larger plants. Although the inverter data have an acceptable accuracy, it would also be interesting to measure simultaneously with the inverters and with a network analyser to calibrate the inverter measurements, study to be carried out by the authors in the future. This equipment was not available for this work. However, the data used in this paper do allow us to see the relative variation between the voltage values with and without PV production, or the variation of results from one installation to another, which shows that the values found and the possible increase in voltage depended not only on the installation characteristics, but also on the specific state of network in each PCC. [PERSON] proposed the topic of study for the paper, carried out the literature review and proposed the methodology. She participated in the data processing, and in the writing and editing the manuscript. She carried out the supervision of the work for the implementation of the paper. [PERSON] carried out the analysis and graphical representation of some data, and he also participated in the writing of the paper. [PERSON] also carried out the analysis and graphical representation of some data, and he also participated in the writing of the paper. [PERSON] participated in the preparation of the data, from the inverter monitoring files, to convert them into matrices in order to facilitate their use for the analysis of the work. He also participated in the writing of the paper. [PERSON] participated in carrying out the literature review and in writing and editing the paper. He participated in the funding acquisition. [PERSON] participated in the data processing and in the writing and editing of the paper. All authors have read and agreed to the published version of the manuscript. **Funding:** This research was supported by the Project Monitoring and Integration of energy data with Seamless Temporal Accuracy for photovoltaic plants (MISTA), PID2019-108953 RA-C22, funded by the Spanish Ministry of Economy and Competitiveness. **Institutional Review Board Statement:** Not applicable. **Informed Consent Statement:** Not applicable. **Acknowledgments:** The authors would like to thank the company Solar del Valle SL, which, via their collaboration agreements with our Research Group, provided data monitored in photovoltaic installations. **Conflicts of Interest:** The authors declare no conflict of interest.