Against the backdrop of rapid global energy development

the proportion of renewable clean energy

with wind and solar energy as the core

in the energy output of the power grid continues to increase. However

intermittency and volatility issues also pose challenges to the stability of the power grid. Energy storage technology can effectively alleviate power grid conflicts and improve power grid stability

but it also brings new risk factors that require the construction of a new power grid risk assessment model that considers energy storage integration. The article provides an analysis and review of several mature assessment models that comprehensively consider energy storage and grid risks. Including Monte Carlo evaluation models

mathematical analytical models

and artificial intelligence algorithm models. Through research

it can be confirmed that the above analysis models can effectively analyze and evaluate the risk of the power grid

taking into account the integration of energy storage devices. Through a large amount of data calculation

the risk level of the power grid can be obtained

which has profound research significance.