Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Multi-objective optimizing design method of off-grid hybrid renewable energy system

A multi-objective optimization and renewable energy technology, applied in the planning and design of off-grid hybrid renewable energy systems, can solve nonlinear, discrete, multivariate and other problems

Active Publication Date: 2015-07-08
NAT UNIV OF DEFENSE TECH
View PDF2 Cites 23 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, from a practical point of view, the planning and design of HRES is usually a multi-objective optimization problem, that is, multiple objectives such as cost and reliability need to be optimized at the same time. In addition, the number of components in the hybrid system, the installation angle of photovoltaic panels, and the fan Installation height, etc., so the planning and design of HRES is a multivariable, discrete, nonlinear complex optimization problem

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
  • Multi-objective optimizing design method of off-grid hybrid renewable energy system
  • Multi-objective optimizing design method of off-grid hybrid renewable energy system
  • Multi-objective optimizing design method of off-grid hybrid renewable energy system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0082] The multi-objective optimization design method of the off-grid hybrid renewable energy system provided by the present invention, the specific steps are as follows:

[0083] The first step is to design the optimization objective and constraint function of HRES, and establish the multi-objective optimization design model of HRES.

[0084] A typical off-grid wind and diesel energy storage system such as figure 1 shown. For this type of typical system, with the goal of minimizing the annual system cost and system power supply loss rate, and considering the constraints of relevant decision variables, a constrained two-objective optimization problem is constructed, as follows

[0085] min{Fcost , F reliablility}

[0086] s.t.(N pv ,N wg ,N bat ,N dg )≥0 (20)

[0087] h low ≤H wg ≤H high

[0088] 0°≤β≤90°

[0089] where F cost Indicates the total annual cost of the system, including: the initial investment cost of various equipment in the system, the operation an...

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 multi-objective optimizing design method of an off-grid hybrid renewable energy system. According to the method, the illumination, the wind speed, the temperature and other meteorological data of a certain region are considered, the annual cost of the hybrid renewable energy system and the power supply defect rate minimization serve as objectives, and a double-objective optimization model with constraints and suitable for the hybrid renewable energy system is built, so that the number of photovoltaic panels and the mounting inclination angle, the number of wind turbines and the mounting height and the number of energy storage devices and diesel generators for forming the optimizing configuration of the system can be obtained. The model is solved through an evolved multi-objective optimizing algorithm NSGAII, and a set of Pareto optimal solutions is obtained; finally the final implementation scheme is determined according to the reference information of the decision maker. HRES planning is conducted through the multi-objective optimizing method, and the method more accords with actual situations and is higher in feasibility.

Description

technical field [0001] The present invention relates to a planning and design method for an off-grid hybrid renewable energy system, specifically considering the number of components in the energy system and the configuration of the installation inclination and height of related components to optimize the various objectives of the system. Background technique [0002] Energy is an important basis for human survival and development. In the 21st century, the rapid economic and social development has led to an increasing demand for energy, and the rapid consumption of fossil energy such as coal and oil has also continued to decrease, and the environmental pollution caused by the extensive use of these fossil energy has become increasingly serious. Energy issues and environmental pollution have increasingly become important factors restricting the sustainable development of society. Facing the dual pressures brought by energy and environmental issues, vigorously developing new ...

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): G06F19/00
Inventor 王锐史志超雷洪涛张涛刘亚杰查亚兵
Owner NAT UNIV OF DEFENSE TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products