Constructing restoration strategies with availability risk constraints

• Published in: Proceedings / IEEE Power Engineering Society General Meeting pp. 1 - 5
• Main Authors: Yunhe Hou, Zhijun Qin, Jie Yan
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.07.2014
• Subjects: Availability; Benchmark testing; bi-level framework; Load modeling; Power system restoration; Reactive power; restoration; risk; Stochastic processes
• ISSN: 1932-5517
• DOI: 10.1109/PESGM.2014.6939420

System restoration strategies are established and implemented based on the availabilities of components of a system. However, due to lack of accurate information, availabilities of some components may not be known during establishment of restoration strategies after a blackout. In this paper, a novel risk-based methodology is proposed for constructing restoration strategies with stochastic availability constraints for both individual components and restoration paths. Based on a stochastic model of the availability, a multistage stochastic optimization model is constructed. A bi-level method is used to solve the proposed model. The established restoration strategy is to achieve a reasonable restoration duration subjects to operating constraints and acceptable risk levels. The proposed risk constraints are introduced into the EPRI's System Restoration Navigator (SRN) with a little modification. Case studies demonstrate the proposed model and methods.