Park comprehensive energy planning method and system based on GSO and mixed integer planning

Abstract

The invention discloses a park comprehensive energy planning method and system based on GSO and mixed integer programming. The park comprehensive energy planning method comprises the steps: determining a feasible region according to fixed-capacity equipment, variable-capacity equipment and a capacity range; with electric power balance, heat supply balance and cold supply balance as constraint conditions, and productivity and energy storage benefit optimization as a first objective function, solving the first objective function by adopting a firefly algorithm, wherein the capacity and the energy storage benefit under the current equipment type and capacity configuration are obtained by solving the second objective function with the minimum power supply cost, the capacity and the energy storage benefit are used as initial fluorescein of the firefly, a decision domain of the firefly is determined according to the number of iterations, and the relative brightness and the attraction degreeof the firefly are obtained according to the decision domain and the initial fluorescein; then selecting a target neighbor, moving to the target neighbor to obtain a firefly new position, and updatingfluorescein to obtain optimal combination configuration of equipment types and capacities in the feasible region. An inner layer and outer layer combined method is adopted, so that the optimal configuration scheme is rapidly calculated, and the optimization time is shortened.

Description

technical field [0001] The invention relates to the technical field of park comprehensive energy planning, in particular to a park comprehensive energy planning method and system based on GSO and mixed integer programming. Background technique [0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art. [0003] The key work of integrated energy at this stage is the construction of park-level integrated energy systems. The park-level integrated energy system is an integrated energy system located on the user side, which can fully utilize the natural resources on the user side. The natural gas system, heating system, cooling system and other energy supply networks are coupled and connected, and the joint operation of multiple energy systems has significant significance for building an energy Internet and improving energy utilization. The comprehensive energy planning of the park ca...

AI Technical Summary

Problems solved by technology

The programming problem is essentially a complex mixed integer nonlinear programming problem, which is difficult to solve directly by the classic convex optimization algorithm

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