A coordinated planner-disaster-risk-averse-planner investment model for enhancing the resilience of integrated electric power and natural gas networks. (July 2020)

• Record Type: Journal Article
• Authors: Aldarajee, Ammar H.M.; Hosseinian, Seyed H.; Vahidi, Behrooz; Dehghan, Shahab
• Is Part Of: International journal of electrical power & energy systems. Volume 119(2020)
• Publication Date: 2020-07
• Subjects: Extreme events -- Integrated expansion planning -- Resilience -- Security; Electrical engineering -- Periodicals; Electric power systems -- Periodicals; Électrotechnique -- Périodiques; Réseaux électriques (Énergie) -- Périodiques; Electric power systems; Electrical engineering; Periodicals; 621.3
• DOI: 10.1016/j.ijepes.2020.105948
• Languages: English
• ISSNs: 0142-0615

Abstract

Highlights: A resilience-based tri-level planner-disaster-risk-averse-planner model is presented. A new constraint is introduced for gas-fired generation units. A new parameter, called resilience budget is introduced. A multi-disaster and multi-zone model is presented. Voltage and pressure limits are considered for measuring the security. Abstract: 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.