Risk identification method of power grid division based on power flow entropy

Abstract

This research introduced a new way to identify the weak area of power grid by the maximum entropy increase. The stable quantification of grid is judged by weighted power flow entropy index. The index of weighted power flow entropy can quantitatively evaluate the ordered stability degree of system key facts. A large number of simulation calculations of IEEE39 node system show that when the entropy of weighted power flow increases to 40-50% or more, the power grid is easy to enter the self-organized critical state, that is, the risk of blackout increases significantly. This paper studies the influence of the load growth in different regions on the entropy index of the whole system, and selects the region with the largest entropy increase as the weak region. The feasibility and effectiveness of the proposed method are verified by taking an actual power grid as an example.