At present, electric power systems face difficulties in system operations due to rapid increase in uncontrollable renewable energy sources (RESs), such as photovoltaic power generations (PVs). Reduction of controllable resources also yields concerns about system reliability issues. This paper focuses on a new dynamic load dispatch method for mitigating the irregularity associated with RES. The developed load dispatch method is to schedule the committed generating units outputs so as to meet required irregular load demand estimation which is frequently updated in real-time operation circumstance. A new algorithm is proposed for unit commitment and stochastic dynamic economic load dispatch as an efficient solution for a day-ahead and a real-time generation schedule (GS), respectively, that fully utilizes the limited resources of a power system under uncertainties. Day-ahead and real-time PV forecasts with the co-relations of PV forecasting errors are effectively treated in the proposed method. Special feature of the proposed method different from the existing works lies in a frequent real-time update of GS by using a fast algorithm to maximize robustness against uncertainties.
- PV forecasting
- confidence intervals
- day-ahead and real-time generation schedule
- stochastic dynamic economic load dispatch