Unit commitment (UC) constitutes the pivotal cornerstone of optimal dispatching in power systems and clearing in electricity markets. With the expansion of China's electricity market operations and the diversification of market participants

instances of non-convergence or unreasonable clearing results in complex market clearing models have become prevalent under the pressure of timely market clearing requirements. Furthermore

the current approach to restoring the feasibility of market-clearing models heavily relies on manual adjustments and modifications based on human experience

including altering models and boundary conditions. However

a generalized methodology for infeasibility analysis and repair remains elusive

which could potentially impact the fair operation of electricity markets and the secure and economic performance of power systems. This paper examines the infeasibility analysis methods for UC models across various solution frameworks

summarizing the general approach to infeasibility analysis in mixed-integer linear programming. Additionally

potential topics for further research are proposed in the UC model infeasibility analysis and repair

aiming to provide valuable insights for the construction of China's new power system and the efficient operation of electricity markets

hopefully.