Optimized day-ahead hydrothermal wind energy systems scheduling using parallel PSO

Large wind energy power plants are widely commercialized and integrated in existing electric power grids. The randomness of wind speed over a short period can greatly affect short term generation scheduling. This paper addresses this problem through an optimized day ahead short-term generation scheduling of both thermal and hydrothermal energy systems at different power penetration levels. There are two models of the wind energy power plant are presented and integrated into the developed optimization model. The first model assume priority wind power dispatch in which all wind power is committed regardless the other power plants in the study system. The second model assumes a fixed rate wind power cost. The optimal scheduling problem is solved efficiently using particle swarm optimizer. Various physical and operational constraints are included. The results shows that wind power variation is strongly affect both thermal and hydro power plants generation scheduling especially when priority dispatch criteria is assumed.