Microgrid energy storage optimization scheduling method based on sparrow search algorithm

A search algorithm and optimal scheduling technology, applied in calculation, calculation model, energy storage, etc., can solve the problems of low energy utilization rate and high electricity price cost of microgrid, reduce the impact of intermittency and volatility, and reduce the total price of electricity cost effect

Pending Publication Date: 2021-06-18
CENT SOUTH UNIV
View PDF1 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention provides a micro-grid energy storage optimization scheduling method based on sparrow search algorithm, the purpose of which is to solve the problems of low energy utilization rate of equipment and high electricity price cost of micro-grid

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
  • Microgrid energy storage optimization scheduling method based on sparrow search algorithm
  • Microgrid energy storage optimization scheduling method based on sparrow search algorithm
  • Microgrid energy storage optimization scheduling method based on sparrow search algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0067] In order to make the technical problems, technical solutions and advantages to be solved by the present invention clearer, the following will describe in detail with reference to the drawings and specific embodiments.

[0068] Aiming at the problems of low energy utilization rate of existing equipment and high electricity price cost of micro-grid, the present invention provides a micro-grid energy storage optimal scheduling method based on sparrow search algorithm.

[0069] Such as Figure 1 to Figure 5 As shown, the embodiment of the present invention provides a microgrid energy storage optimization scheduling method based on the sparrow search algorithm, including: Step 1, analyze each distributed power source and battery energy storage device in the microgrid, and collect The renewable energy generation power forecast curve, load forecast curve and gradient electricity price of each distributed power supply and battery energy storage equipment in the system; step 2, ...

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 provides a microgrid energy storage optimization scheduling method based on a sparrow search algorithm, and the method comprises the steps: 1, carrying out the analysis of all distributed power supplies and storage battery energy storage equipment in a microgrid, collecting a renewable energy power generation power prediction curve, a load prediction curve and a gradient electricity price of each distributed power supply and storage battery energy storage equipment in the microgrid; and step 2, with the lowest cost under the dynamic gradient electricity price as a target, establishing a micro-grid optimization operation target function, determining operation constraint conditions of the micro-grid optimization operation target function, and establishing a micro-grid optimization scheduling model according to the micro-grid optimization operation target function and the operation constraint conditions. According to the method, the total cost of electricity price is reduced by performing optimal scheduling on the energy storage system of the micro-grid, the limitation of the maximum charge and discharge depth of the storage battery is considered, the sparrow search algorithm is combined, stable and safe operation of the micro-grid is realized, and the influence of renewable energy power generation intermittency and volatility in the micro-grid is reduced.

Description

technical field [0001] The invention relates to the technical field of power system automation, in particular to a microgrid energy storage optimization scheduling method based on a sparrow search algorithm. Background technique [0002] Due to the advantages of environmental protection, huge energy content, flexible power generation and sustainable utilization, distributed renewable energy has received extensive attention and rapid development in recent years. Distributed energy is usually affected by the environment, so it has strong volatility and intermittency, which affects the safe and stable operation of the power system. Moreover, complex and diverse distributed power generation technologies are not conducive to the full utilization of energy, resulting in waste of resources. In order to coordinate the contradiction between distributed power generation and the large power grid, a microgrid (Microgrid), which can realize the flexible connection of distributed power g...

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): H02J3/38H02J3/28H02J3/24G06Q10/04G06Q50/06G06N3/00
CPCH02J3/38H02J3/28H02J3/24G06Q10/04G06Q50/06G06N3/006H02J2203/20Y04S10/50Y02E70/30Y02E40/70
Inventor 刘芳郑玉麟刘玲李勇
Owner CENT SOUTH UNIV
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