Multi-stage resilience scheduling of electricity-gas integrated energy system with multi-level decentralized reserve. (1st July 2022)

• Record Type: Journal Article
• Authors: Lv, Chaoxian; Liang, Rui; Jin, Wei; Chai, Yuanyuan; Yang, Tiankai
• Is Part Of: Applied energy. Volume 317(2022)
• Publication Date: 2022-07-01
• Subjects: Electricity-gas integrated energy system (EGIES) -- Operation resilience -- Decentralized reserve -- Network islanding -- Thermal storage of building air; Power (Mechanics) -- Periodicals; Energy conservation -- Periodicals; Energy conversion -- Periodicals; 621.042
• DOI: 10.1016/j.apenergy.2022.119165
• Languages: English
• ISSNs: 0306-2619

Abstract

Highlights: Multi-stage scheduling with decentralized reserve is constructed for resilience enhancement. Multi-level reserve means are well integrated to improve adaptability to extreme events. Multi-link joint operation with islanding partition is relaxed as tractable MISOCP formulation. Abstract: Extreme events pose threats to secure and consistent supply of electricity-gas integrated energy system (EGIES), and adequate resilience is essential for improving risk defense abilities. Considering the constraints of power distribution network (PDN) and natural gas system (NGS), a multi-stage strategy integrating multi-level decentralized reserve is proposed for resilience enhancement in EGIES. Storages of multi-area community integrated energy systems (CIESs) serve as the secondary reserve while the primary reserve, i.e., independent electric power/natural gas system, fails to meet reserve requirements. Furthermore, the thermal storage of building air on the consumption side is taken as the tertiary reserve, so as to obtain a better emergency response effect. The scheduling framework consists of reserve calculation, economic scheduling, and fault restoration. On the basis of multi-area reserve calculation, day-ahead economic scheduling is conducted, maintaining adequate reserve with consideration of decentralized reserve constraints; thus, high-priority demands can be recovered in case of supply disruptions. In addition, the flexible topology of PDN is utilized to facilitate the restored loads by optimal islanding partition. Via conic relaxation conversion, the original nonconvex model is tracked into a unified mixed-integer second-order cone programming (MISOCP) formulation, which can be effectively and accurately solved. Finally, numerical study on a modified IEEE 33-bus test system and a modified 7-node gas system connecting multiple community integrated energy systems shows the effectiveness of the proposed resilience strategy.