Study On Coordinated Optimization Strategy Of Rotating Standby In Wind - Water - Fire Area

In recent years, the large-scale wind power and the small hydropower are accessing the power grid, but the characteristics of wind power and small hydropower are intermittence and randomness. If spinning reserve capacity of the wind-hydro-thermal area power grid doesn’t deploy appropriately, it will effect the grid power system safety operation. The fixed percentage of power system peak load and the biggest single capacity are used as the traditional methods, and the those methods are no longer adaptive options for the wind-hydro-thermal area power grid.To solve the aforementioned problem, aiming at lower loss of load, higher utility of clean source, less cost of operation and more export energy, the discretized output forecast deviation of wind power and small hydropower is adopted in the expect outage cost model. Based on the function models of the lowest thermal power fuel cost, the minimum expected outage expense, the least thermal power output fluctuation and the least abandoned water of main hydropower plants, a multi-objective spinning reserve capacity optimization model is built considering the wind-water-fire power coordinated operation. The improved particle swarm optimization algorithm introducing particle concentration cognitive is used, the study case is the data of two southeast areas. By simulating analysis, this paper compare the results of different strategies. The study certify that this model is applicative and effective, because the spinning reserve capacity is coordinated optimally when the output of wind power and the small hydropower changed. This model and its algorithm have the reference significance for the deployment of spinning reserve capacity in the wind-hydro-thermal area power grid.