Stochastic Unit Commitment in Various System Sizes under High Uncertainty Photovoltaic Forecast

This paper proposes a stochastic unit commitment (SUC) approach to solve day-ahead (UC) problem in system with high uncertainty net load which is caused by photovoltaic (PV) power plants. In contrast robust (RUC) only considers the worst-case scenario, SUC every possible scenario its probability. Multiple PV curves were obtained using k-means clustering on historical data. The proportion of cluster members was used as weight factor representing occurrence probability curves. test separated into two-step tests, namely and real-time markets, IEEE 10 generating solved CPLEX. results showed that UC, ($539,896) had lower cost than RUC ($548,005). However, when total energy generated considered, (20.78 $/MWh) higher compared (20.75 $/MWh). It because solution proposed RUC, but generation formulation also over-commitment. Thus, produced fairer price for independent producer electric utility calculation. environment market, able produce without going clearly shown 30 units centroids, cheaper (20.7253 (20.7285 $/MWh), violating balance or shedding.