Enhancement in reliability‐constrained unit commitment considering state‐transition‐process and uncertain resources

The high penetration of uncertain resources challenges the security power system operation. By taking impact rescheduling under contingencies into consideration, reliability-constrained unit commitment (RCUC) is developed to address this challenge. Although several efforts have been made in modelling reliability constraints, existing methods can only manage oversimplified low-order temporal-independent without considering wide-range or their state-transition-process issue. To quantify on normal-state scheduling process denoted by UC problem, paper builds up a Bayesian inference method for encoding constraints temporal-dependent contingencies. Three predictors, example, expected-generator-rescheduling-power, expected-energy-not-serviced and lost-of-load-probability, are selected describe possible corrective behaviours quantified using method. Then, these predictors reformatted as set linearized be incorporated UC. proposed RCUC comprehensively considers effect Therefore, it reveal influence generator keep better performance than those reported previous studies. modified IEEE 30-bus test 118-bus used show model's effectiveness.