TY  - JOUR
AU  - Stanchev, Plamen
AU  - Hinov, Nikolay
AU  - Zlatev, Zoran
PY  - 2025
DA  - 2025/12/30
TI  - A Model for Assessing the Degree of Digitalization in Electric Power Networks
JO  - ICCK Transactions on Electric Power Networks and Systems
T2  - ICCK Transactions on Electric Power Networks and Systems
JF  - ICCK Transactions on Electric Power Networks and Systems
VL  - 1
IS  - 2
SP  - 93
EP  - 108
DO  - 10.62762/TEPNS.2025.524616
UR  - https://www.icck.org/article/abs/TEPNS.2025.524616
KW  - digitalization
KW  - power grid
KW  - maturity model
KW  - smart grid
KW  - assessment framework
AB  - The increasing integration of digital technologies into electric power networks has transformed traditional grids into complex cyber-physical systems. Yet, the level of digital maturity across operators remains uneven, lacking a unified assessment framework. This paper proposes a structured model for evaluating the degree of digitalization in power grids, integrating technological, organizational, and analytical dimensions. The model introduces six core domains, technological infrastructure, data and analytics, operational processes, cybersecurity, organizational culture, and distributed energy integration, each evaluated across four maturity levels. A weighted scoring system is used to compute a Digitalization Score Index (DSI), allowing quantitative comparison and benchmarking. The proposed model is tested through a case study involving a regional grid operator, demonstrating its capability to identify gaps and guide digital transformation strategies. Results show that such an approach enhances transparency, supports investment prioritization, and aligns network modernization with the principles of smart grid development.
SN  - 3070-2607
PB  - Institute of Central Computation and Knowledge
LA  - English
ER  - 

@article{Stanchev2025A,
  author = {Plamen Stanchev and Nikolay Hinov and Zoran Zlatev},
  title = {A Model for Assessing the Degree of Digitalization in Electric Power Networks},
  journal = {ICCK Transactions on Electric Power Networks and Systems},
  year = {2025},
  volume = {1},
  number = {2},
  pages = {93-108},
  doi = {10.62762/TEPNS.2025.524616},
  url = {https://www.icck.org/article/abs/TEPNS.2025.524616},
  abstract = {The increasing integration of digital technologies into electric power networks has transformed traditional grids into complex cyber-physical systems. Yet, the level of digital maturity across operators remains uneven, lacking a unified assessment framework. This paper proposes a structured model for evaluating the degree of digitalization in power grids, integrating technological, organizational, and analytical dimensions. The model introduces six core domains, technological infrastructure, data and analytics, operational processes, cybersecurity, organizational culture, and distributed energy integration, each evaluated across four maturity levels. A weighted scoring system is used to compute a Digitalization Score Index (DSI), allowing quantitative comparison and benchmarking. The proposed model is tested through a case study involving a regional grid operator, demonstrating its capability to identify gaps and guide digital transformation strategies. Results show that such an approach enhances transparency, supports investment prioritization, and aligns network modernization with the principles of smart grid development.},
  keywords = {digitalization, power grid, maturity model, smart grid, assessment framework},
  issn = {3070-2607},
  publisher = {Institute of Central Computation and Knowledge}
}