Multi-objective collaborative optimization scheduling system for photovoltaic and energy storage building clusters based on supply and demand matching degree

Abstract

This invention provides a multi-objective collaborative optimization scheduling system for photovoltaic-storage building complexes based on supply-demand matching, comprising: a perception layer for real-time acquisition of physical operation status data of the photovoltaic-storage building complexes; a network layer for transmitting data to a control layer; a control layer for generating a global scheduling plan based on supply-demand matching prediction information at a first scale and time-of-use electricity price information of the power grid, with maximizing the comprehensive supply-demand matching as the optimization objective; rolling correction of the global scheduling plan based on supply-demand matching prediction information at a second scale and physical operation status data, generating correction instructions; performing local autonomous judgment on the correction instructions based on supply-demand matching prediction information at a third scale and physical operation status data, triggering a local response when supply-demand fluctuations are detected; and an application layer for displaying the data acquired by the perception layer and / or the output data of the control layer, fundamentally improving the system's self-balancing capability.

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