Dual-layer self-healing strategy for standalone building energy systems: A case study of a tropical island

• Published in: Energy and buildings 2023-03, Vol.283, p.112827, Article 112827
• Main Authors: Xu, Lanjing, Wang, Shaofeng, Wang, Zhiwei, Qi, Xuejun
• Format: Article
• Language: English
• Subjects: Building energy supply; Decision boundaries; Dual-layer self-healing operation; Dynamic risk; Resilience; Standalone energy systems
• ISSN: 0378-7788
• DOI: 10.1016/j.enbuild.2023.112827

[Display omitted] •Dual-layer self-healing strategy is developed for standalone operation reliability.•Decision boundaries in device layer are optimized for better scheduling accuracy.•Risk value R is taken as the system layer’s decision boundary via PAR risk model.•Decision repetition rate is reduced to speed up the real-time response efficiency.•Task and energy allocation method is introduced for building energy supply security. Due to dynamic building demand and environment, the state of each energy subsystem changes frequently in an integrated energy system (IES), which seriously threatens its operation security. Reliable self-healing operation ability is guarantee of stable energy supply. A dual-layer self-healing strategy considering decision boundaries is proposed to maximize resilience for stand-alone IES. In disturbance identification stage, pressure and release risk model is adopted to detect anomalies and risk state. In scheduling decision stage, decision boundaries of device layer resolve internal strategies conflict within a single device. Decision boundaries of system layer coordinate task and energy allocation among different devices. In scheduling response stage, final scheduling decision is performed to prevent and mitigate impact of potential threats on IES. Results indicate that dual-layer self-healing strategy improves system resilience by 54 % – 163 % in eight fault scenarios compared to fault isolation method. It also has advantages in energy supply reliability, fault absorption and energy storage capacity. Moreover, reduction of decision repetition rate speeds up the real-time scheduling efficiency. The proposed self-healing strategy helps system achieve stronger adaptability and reliability under dynamic conditions. It has a positive effect on practical application of IES for buildings in isolated areas.