  In time critical market applications such as for example scheduling and price
computation for the balancing market, failure of the algorithm in finding a
solution would result in cancelation of the session and respective financial
consequences for the market participants. In the paper we propose a
regularization procedure that could help an operator to spot the problematic
location and find out the reasons that caused the algorithm to breakdown and
make necessary corrections. The approach has proved to be useful in the
operation of the Balancing Market in the Russian Federation.
