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Community energy scheduling method based on renewable energy and internal load uncertainty

A renewable energy and internal load technology, applied in resources, artificial life, biological models, etc., can solve problems such as overly conservative operation, and achieve the effect of enhancing randomness and improving diversity

Inactive Publication Date: 2021-12-17
XIAN UNIV OF TECH
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Problems solved by technology

However, robust optimization schemes are too conservative in operation, often sacrificing certain economic benefits

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  • Community energy scheduling method based on renewable energy and internal load uncertainty
  • Community energy scheduling method based on renewable energy and internal load uncertainty
  • Community energy scheduling method based on renewable energy and internal load uncertainty

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Embodiment Construction

[0048] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0049] like figure 1 , figure 2 , image 3 , Figure 4 , Figure 5 ;

[0050] The implementation method of real-time adjustment strategy:

[0051] Power balance:

[0052] (1) When the power supply is redundant Determine whether the redundant power is less than the capacity of the power-to-gas unit when When , all the energy is transferred to the power-to-gas unit (case 1); otherwise, it is judged whether the redundant power is less than and the ...

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Abstract

The invention discloses a community energy scheduling method based on renewable energy and internal load uncertainty. The method comprises the steps of: 1 establishing a multi-interval uncertainty set of renewable energy and internal load uncertainty according to day-ahead prediction data, and obtaining multiple groups of data considering interval uncertainty; 2 solving multiple groups of data obtained in the first step through an improved particle swarm algorithm to obtain a series of deterministic optimal scheduling plans; and 3 selecting and comparing a series of deterministic optimal scheduling plans of short-term prediction and long-term prediction, and combining a real-time adjustment strategy to obtain an optimal evolution scheduling scheme of the whole system. In order to further prevent the algorithm from easily falling into a local extremum in an iteration process, an optimal solution disturbance operator is provided to adjust a personal optimal solution and a global optimal solution among all particles.

Description

technical field [0001] The invention relates to the technical field of comprehensive energy optimal dispatching, in particular to a dispatching method based on renewable energy and community energy with uncertain internal loads. Background technique [0002] With the gradual shortage of fossil energy reserves and the increasingly serious environmental pollution, people are forced to reform the existing energy consumption pattern, and the integrated energy system is an important technical support for this reform. As an important member of the integrated energy system, the integrated community energy system has complete functions, is easy to implement, and has broad prospects. [0003] In order to avoid the waste of energy, the prediction technology of renewable energy such as wind energy and solar energy has been greatly developed in recent years. The researchers not only proposed a short-term prediction method based on cuckoo search and differential evolution algorithm, but...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06G06N3/00
CPCG06Q10/04G06Q10/0631G06Q50/06G06N3/006Y02E40/70Y04S10/50
Inventor 刘兴华谢胜寒王昱博吕文君
Owner XIAN UNIV OF TECH
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