Comprehensive energy system multi-time scale optimization scheduling method and system, and storage medium

Abstract

The invention discloses a comprehensive energy system multi-time scale optimization scheduling method and system, and a storage medium. The method comprises the following steps: building an energy storage side model, an energy conversion side model, an energy storage side model and a load side model according to a comprehensive energy system architecture; according to renewable energy and load day-ahead prediction information, gas purchase price and time-of-use electricity price, establishing a day-ahead optimization model by taking the lowest daily operation cost of the comprehensive energy system as a target; according to the intra-day renewable energy and the load day-ahead prediction information, establishing an intra-day optimal scheduling model with the minimum system operation costand the minimum start-stop punishment cost of all the units as targets; and according to the real-time prediction information, solving by adopting a distributed model prediction control algorithm withthe minimum total adjustment amount of system controllable equipment at the next moment of an intra-day scheduling plan as a target to obtain a final scheduling plan. According to the method, the distributed model prediction control algorithm is adopted to solve the scheduling model in the implementation stage, the complexity of the model can be reduced, the difficulty of online solving is reduced, and meanwhile the control performance of the system can be considered.

Description

technical field [0001] The invention relates to the technical field of energy dispatching of integrated energy systems, and in particular to a method, system and storage medium for multi-time scale optimal dispatching of integrated energy systems. Background technique [0002] The Integrated Energy System (IES) is a new energy system that integrates various energy sources such as electricity, gas, cold / heat, etc., and emphasizes the core position of electricity. The coordinated operation of multiple energy sources and their mutual transformation improve the utilization efficiency of renewable energy. At the same time, the coupling of multiple energy sources makes the internal structure very complex, which brings great difficulties to the analysis of IES optimal scheduling. [0003] In the study of energy dispatching in integrated energy systems, there are errors in renewable energy and load forecasting, and the forecasting errors gradually decrease as the time scale decrease...

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Problems solved by technology

[0004] The multi-time-scale optimal scheduling method, system and storage medium of the integrated energy system proposed by the present invention can solve the technical problem that the optimal scheduling model of the integrated energy system is complex and difficult to solve online

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