The analytical ridge regression is applied for accommodating unscheduled flows in bulk interconnection by estimating “minor loop flows”. Ridge regression uses a bias parameter to minimize the average squared error, instead of the ordinary least squares method, when numerically ill-conditioned system matrices are present. The analytical approach is used in cases with large number of regressors. An example using the IEEE 14-bus test system, with wind penetration, illustrates the application.