Smart grid projects in the pan-European energy system

Abstract

Purpose. To provide a comparative and comprehensive analysis of the smart grid projects funded by the H2020 ENERGY and FP7-ENERGY programs. Methodology. As part of the text analysis, the authors evaluated smart grid projects’ results in a sample using text mining methods. Based on statistical analysis and concept-based method, the most significant outcomes of smart grid projects were identified. Findings. A detailed review of the results shows that project teams of the H2020 ENERGY and FP7-ENERGY programs mostly relied on the existing experience which helped to form further development for standardization of tools, conduct planning, or derive specific management actions aimed at smart energy consumption. The majority of these solutions were applied for digitalizing small commercial consumers and for integrating isolated renewable sources in the most effective way. The projects considered the possibilities of electric vehicles used to solve environmental problems and balancing unstable electricity production from renewable sources with Li-ion stationary batteries, tools for effective interaction of users of smart grids, and integration of isolated renewable sources in centralized energy networks. Originality. Based on statistical and machine analysis, the most significant results of smart grid projects were identified. N‑grams of expressed keywords used in the texts of project results were used to present and visualize the textual description of smart grid projects. Practical value. The results might be helpful for the European policymakers and scientific advisers seeking to further promote and ameliorate the pan-European energy system.