Underground and overhead networks - WG 2021-3



The electrical network includes overhead and underground assets. Each are exposed to different impacts at all stages of their life cycles. Aesthetics, safety, cost, resiliency, and reliability are different for each grid topology and will influence an asset’s life-cycle risk management.
One of the most important roles for the DSO is to manage the assets assuring that the network is safe, resilient and provides the expected level of reliable service. To do so effectively and efficiently, DSO needs access to detailed asset condition data, each asset’s importance to network resilience, how the assets interact with each other and to have advanced tools to identify optimal life cycle management (costs, performance, risks), to optimise Capex and Opex budgets..


The scope proposed for the working group is:
 to identify best practices and methodologies of underground and overhead networks maintenance, which involve technical end of life economical decisions to balance costs, risks, and performance along asset’s life cycle;
 to benchmark underground and overhead networks life-cycle asset risk management among DSO, similar companies, suppliers, etc.;
 to identify best tools and best practices for:
   - Optimal life cycle management (costs, performance, risks);
   - Data analytics and asset performance assessment, including remaining operational life evaluation;
   - Optimal Capex and Opex budgets, based on risk, through ranking and prioritization processes; 
   - Optimal maintenance policy decision making;
   - Asset risk-based condition assessment (health, criticality, and risks);
   - Optimal asset replacement decision making.
 to assess of existing models about asset condition, probability of failure and expected remaining useful life;
 to assess tools for portfolio optimization and elaboration of long-term investment strategies (SAMP, as defined through ISO 55001)
Convener :
Prata Ricardo, E-Redes, Portugal

Members :

Chowdhury Md Masoom, USA
Davoudi Masoud, PG&E, USA
Ganji Mehdi, Willdan, USA
Haghifam Mahmoodreza, Tarbiat Modares University, Iran
Hanif Sarmad, Pacific Northwest National Laboratory, USA
Keller Dan, Highvolt GmbH, Germany
Li Honglei, State Grid Shanghai Electric Power Research Institute, China
Loai Saad Eldeen Nasrat, Aswan University, Egypt
Mendonça Gustavo, EDP Brazil
Morita Keisuke, KANSAI Transmission and Distribution. Inc., Japan
Podlogar Martin, Elektro Ljubljana, Slovenia
Pinto Olivier, Nexans, France
Ranchere Anne-Soizic, Nexans, France
Rauhalammi Iiris, Caruna, Finland
Saber Ahmed, ETAP R&D, USA