A Novel Proactive Operation Strategy to Enhance Power System Resilience
Resilience describes the ability to resist and quickly recover from extreme events and proactive operation can effectively improve resilience. However, traditional model is hard to solve, cannot be applied online, and have unnecessary offload, this article proposes a new proactive operation model based on rolling optimization, which improves the resilience while reducing the solution time and expanding the security margin. Firstly, the uncertainty in the transition of system state driven by extreme events is modeled as a Markov state transition model. Secondly, a proactive operation model considering overload risk is established based on Markov decision processes, and its solution is obtained using rolling optimization approach. Finally, the effectiveness is verified on the IEEE24 node model using a Markov Chain Monte-Carlo based resilience evaluation method. The results show that the model proposed in this article shortens the solution time by 76％, reduces the offload by 15.6％.
extreme eventspower system resilienceproactive operationMarkov decision process
国家科技期刊平台
NSTL
万方数据
维普
