Electric Power ›› 2023, Vol. 56 ›› Issue (12): 127-137.DOI: 10.11930/j.issn.1004-9649.202307045

• Key Technologies for Improving the Resilience of Power Systems • Previous Articles     Next Articles

Risk Limiting Based Resilient Operation Method for Power Grid

Xiyue WANG1(), Hao ZHANG1(), Chaoyi PENG2()   

  1. 1. China Energy Engineering Group Guangdong Electric Power Design Institute Co., Ltd., Guangzhou 510663, China
    2. Power Dispatch and Control Center, China Southern Power Grid, Guangzhou 510670, China
  • Received:2023-07-12 Accepted:2023-10-10 Online:2023-12-23 Published:2023-12-28
  • Supported by:
    This work is supported by Science and Technology Project of CSG (Research on the Theory, Framework, Standard System, and Key Technologies of an Intelligent Scheduling and Operation Platform Based on Cloud-Edge Integration, No.000000KK52200035) and China Energy Engineering Group Guangdong Electric Power Design Institute Co., Ltd. (Application Research of Digital Twin Technology in Smart Grids, No.EV06421W).

Abstract:

Under the background of construction of the new power system, the integration of a large amount of renewable energy into the existing grid poses significant challenges to the dispatch and operation mode of power grid. In order to address the risk of load shedding caused by the power fluctuation and uncertainty of renewable energy on real-time power balance in the grid, we propose a resilient operation model for the grid based on risk limiting theory (RLB). To solve the problem of solving probabilistic constraints, a solution is provided to enhance the operational resilience of the grid. By deriving three intermediate state models of RLB and their analytical solutions, we present an iterative RLB solution algorithm based on intermediate state models and provide a rigorous proof of its global optimality. Finally, based on the IEEE 6-node system and an actual 25981-node regional grid examples, we analyze the relationship between system flexibility, prediction accuracy, and system resilience, and it is concluded that improving the operational resilience of the new power system is premised on sufficient system flexibility and prediction accuracy.

Key words: new power system, risk limiting, uncertainty, probability constraint, resilient operation