Seagull-optimization-algorithm-based park integrated energy system multi-stage planning method

Abstract

The invention belongs to the technical field of power grid operation and control, and particularly relates to a multi-stage planning method for a park integrated energy system based on a seagull optimization algorithm. A technical basis and a practical method are provided for multi-stage planning of the park comprehensive energy system. The method comprises the following steps: acquiring park integrated energy system planning information; establishing an energy coupling equipment model according to the planning information; establishing a park comprehensive energy system model; establishing a basic framework of the multi-stage planning method; establishing a park integrated energy system multi-stage planning model; establishing multi-stage planning constraint conditions of the park integrated energy system; solving the established park integrated energy system multi-stage planning model based on a seagull optimization algorithm; and through optimization calculation, obtaining multi-stage planning configuration information of the park integrated energy system based on gull-sea optimization algorithm iterative calculation, and guiding configuration construction of park energy equipment.

Description

technical field [0001] The invention belongs to the technical field of power grid operation and control, and in particular relates to a multi-stage planning method for park comprehensive energy systems based on seagull optimization algorithms. Background technique [0002] Traditional industrial parks generally lack unified energy planning and face huge challenges in terms of energy waste and energy shortage. At the same time, as far as the grid is concerned, on the one hand, it is limited by factors such as grid transmission capacity and stable operation requirements, and the grid's ability to accept new energy is insufficient; at the same time, the access of new energy changes the comprehensive load characteristics of the grid and affects the security of the grid. For the integrated energy system, blind single-stage planning does not fully consider the rationality of the later operation of the integrated energy system. For the above situation, there is currently no effect...

AI Technical Summary

Problems solved by technology

Under the above calculation strategy, the solution process of the model is complicated, the algorithm structure is complicated, the parameter settings are too many, the solution time is long, and the relative error is large, etc., and the application has great limitations, which is not conducive to the multi-stage planning and commercialization of the park's comprehensive energy system. slow operation, poor practicability

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