Method for optimizing capacity configuration of a hybrid energy storage power supply in a renewable energy system

A renewable energy, hybrid energy storage technology, applied in electrical digital data processing, special data processing applications, instruments, etc., can solve the problem that the capacity configuration of hybrid energy storage power cannot be effectively optimized, and achieve the effect of reducing operating costs

Active Publication Date: 2019-05-31
上海聚信海聚新能源科技有限公司
View PDF1 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Aiming at the deficiencies of the above-mentioned prior art, the present invention provides a method for optimizing the capacity allocation of hybrid energy storage power sources in renewable energy systems, which effectively solves the problem that the capacity allocation of hybrid energy storage power sources in existing renewable energy systems cannot be effectively optimized question

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method for optimizing capacity configuration of a hybrid energy storage power supply in a renewable energy system
  • Method for optimizing capacity configuration of a hybrid energy storage power supply in a renewable energy system
  • Method for optimizing capacity configuration of a hybrid energy storage power supply in a renewable energy system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0015] In order to make the content of the present invention clearer and easier to understand, the content of the present invention will be further described below in conjunction with the accompanying drawings. Of course, the present invention is not limited to this specific embodiment, and general replacements known to those skilled in the art are also covered within the protection scope of the present invention.

[0016] Aiming at the technical problem that the capacity allocation of the hybrid energy storage power supply in the existing renewable energy system cannot be effectively optimized, the present invention provides an optimization method for the capacity allocation of the hybrid energy storage power supply in the renewable energy system, which is applied to the renewable energy system, specifically , the renewable energy system includes wind power generators, photovoltaic solar power generators and hybrid energy storage power sources, wherein the hybrid energy storag...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a method for optimizing capacity configuration of a hybrid energy storage power supply in a renewable energy system. The method comprises the following steps: respectively establishing energy models of a wind generating set, a photovoltaic solar generating set, a storage battery and a super capacitor; establishing an optimization model of capacity configuration and corresponding constraint conditions according to the one-time investment cost of the hybrid energy storage power supply and the operation cost of the whole life cycle; based on a multiplication and division optimization method, establishing an objective function for minimizing the total cost and corresponding constraint conditions according to a hybrid energy storage power supply capacity configuration optimization model; according to constraint conditions of the objective function, solving the objective function by adopting a differential evolution algorithm to respectively obtain the minimum valuesof the one-time investment cost and the full life cycle operation cost; the optimization of the capacity configuration of the hybrid energy storage power supply is realized, and the one-time investment cost and the operation cost of the whole life cycle are greatly reduced while the utilization of wind energy and photovoltaic solar energy resources is maximized on the premise that the load requirement is met.

Description

technical field [0001] The invention relates to the technical field of batteries, in particular to an optimization method for capacity allocation of hybrid energy storage power sources in a renewable energy system. Background technique [0002] With the rapid depletion of traditional oil resources and the increasing global warming, researchers and scientists around the world are trying their best to find green alternative energy sources. Renewable energy systems composed of wind energy and photovoltaic solar energy have become a research hotspot. However, both wind energy and photovoltaic solar energy are intermittent, and in order to ensure the stability and reliability of energy supply, it is usually necessary to set up a suitable energy storage system in the renewable energy system. Generally, batteries are used for energy storage in small and medium-sized power generation systems composed of wind energy and photovoltaic solar energy. However, the energy storage power su...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50G06Q10/04
Inventor 王琪韩晓新诸一琦罗印升
Owner 上海聚信海聚新能源科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products