The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jul. 20, 2021

Filed:

Mar. 10, 2021
Applicant:

Dalian University of Technology, Liaoning, CN;

Inventors:

Feng Jin, Liaoning, CN;

Jun Zhao, Liaoning, CN;

Xingxing Gao, Liaoning, CN;

Linqing Wang, Liaoning, CN;

Wei Wang, Liaoning, CN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H02J 3/00 (2006.01); G06F 17/18 (2006.01); G06F 17/16 (2006.01);
U.S. Cl.
CPC ...
H02J 3/004 (2020.01); G06F 17/16 (2013.01); G06F 17/18 (2013.01); H02J 2300/24 (2020.01);
Abstract

The present disclosure belongs to the technical field of information, provides a short-term interval prediction method for photovoltaic power output, and is a short-term interval prediction method for photovoltaic power output based on a combination of a multi-objective optimization algorithm and a least square support vector machine. The present disclosure firstly proposes a similar day classification method considering both numerical value and pattern similarity to enhance the regularity of samples, then constructs an adaptive proportional interval estimation model based on dual-LSSVM model, and optimizes model parameters by using NSGA-II algorithms to realize the interval prediction of photovoltaic power output. Results obtained by the method have high accuracy, and computation efficiency meets actual application requirements. The method can also be popularized and applied in the fields of grid connection and scheduling of renewable energy sources.


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