Day-Ahead Economic Dispatch for a Combined Cooling, Heat and Power Microgrid System Considering Wind Power and Load Uncertainty

Day-Ahead Economic Dispatch for a Combined Cooling, Heat and Power Microgrid System Considering Wind Power and Load Uncertainty

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Considering the influence of uncertainties of wind power outputs and load on the operation of microgrid, a two-stage robust stochastic scheduling model is established for CCHP microgrid with multi-type distributed generations after distinguishing the characteristics of uncertain sources here and loads.Although the current accuracy of wind power prediction is low, its fluctuation range is easy to measure, so a robust optimization method is applied; the load forecasting accuracy is high and has certain regularity, and then a stochastic optimization method is applied.Firstly, multiple load scenarios are formed by random sampling, then several typical load scenarios are ultrastar dc hc550 obtained by reducing them.Next a day-ahead scheduling scheme is formulated with the goal of minimizing the weighted average of the scheduling cost of each scenario, in which a two-stage robust optimization method is used to solve the scheme.

Considering the phenomenon of wind abandonment in actual production, penalty cost is introduced to increase wind power absorption.Simulation results show the rationality and economy of the proposed scheduling method.