Agc hierarchical optimization method and system based on wind power error modeling

Abstract

The application discloses an AGC hierarchical optimization method and system based on wind power error modeling, and belongs to the field of power system dispatching optimization.The method comprises the following steps: constructing a wind power prediction error model and a wind power prediction error dynamic probability boundary model; constructing a two-stage robust optimization model comprising spare capacity configuration and real-time dispatching of unit output; and constructing an AGC hierarchical control architecture comprising a strategic decision layer, a coordination optimization layer and an execution response layer, wherein the strategic decision layer calculates a spare capacity configuration strategy of each unit based on the two-stage robust optimization model as a boundary constraint of the adjustment capacity of each unit in the coordination optimization layer, the coordination optimization layer calculates unit adjustment instructions of each unit with the aim of minimizing area control error (ACE) and adjustment cost, and the instructions are sent to the execution response layer for instruction execution.The application can reduce invalid spare allocation, shorten frequency recovery time and improve adjustment quality, and is helpful to guarantee the economy and stability of the system under high uncertainty.

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