A coordinated planner-disaster-risk-averse-planner investment model for enhancing the resilience of integrated electric power and natural gas networks

Nowadays, natural hazards and extreme events bring about significant losses in various infrastructures including integrated electric power and natural gas networks. Thus, a robust approach is necessary for investment and operation planning of integrated energy systems. This paper presents a novel tri-level planner-disaster-risk-averse-planner framework for investment planning in integrated electric power and natural gas networks (PDP-PEN) under extreme events. The notion of the information-gap decision theory (IGDT) as a proficient non-deterministic optimization technique under severe uncertainty is utilized to enhance the resilience of the integrated system under different types of extreme events in electric power and natural gas networks through a specific parameter named as the budget of resilience. The proposed PDP-PEN framework is solved by means of a tri-level algorithm including (1) first-level: planning problem under normal condition, (2) second-level: resilience evaluation under disastrous condition, and (3) third-level: risk-averse re-planning under disastrous condition using the notion of IGDT. This resilience-oriented investment planning tool is successfully implemented on the integrated Garver 6-node electric power and 8-node natural gas networks as well as the integrated IEEE 24-node electric power and 12-node natural gas networks. Case studies justify the effectiveness of the proposed IGDT-based tri-level approach to enhance the resilience of the integrated energy systems in response to extreme events.