Fast security and risk constrained probabilistic unit commitment method using triangular approximate distribution model of wind generators

摘要: Wind energy is intermittent and uncertain. This uncertainty creates additional risk in the day-ahead 24-h dispatch schedule. speed can be forecasted for next hourly power forecasts best described using probabilistic models. Security constrained unit commitment (SRCPUC) algorithms considering forecast models of wind used to optimally schedule conventional generation minimise total cost risk. However, inclusion non-linear a SRCPUC algorithm computationally very challenging. In this study, proposed uses triangular approximate distribution (TAD) model probabilistically represent output generator. The TAD quantifies potential because expected not served (EENS) from uncertain power. Reserves are scheduled counter EENS. Total cost, reserve EENS minimised algorithm. implemented on 6-bus 118-bus IEEE systems. results compared with classical enumeration technique. Significant benefits computing time (more than 500 times faster) seen while numerical observed highly accurate.