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

Double-layer optimization method for alternating current and direct current hybrid microgrid based on demand side response

A technology of AC-DC hybrid and demand-side response, which is applied in the direction of AC-DC network circuit layout, AC network circuit, electrical components, etc., and can solve problems such as randomness and volatility

Active Publication Date: 2018-09-07
NORTH CHINA ELECTRIC POWER UNIV (BAODING) +2
View PDF4 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, because its output is limited by nature, it has significant randomness and volatility, so considering the uncertainty of scenery is also a current research difficulty.

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
  • Double-layer optimization method for alternating current and direct current hybrid microgrid based on demand side response
  • Double-layer optimization method for alternating current and direct current hybrid microgrid based on demand side response
  • Double-layer optimization method for alternating current and direct current hybrid microgrid based on demand side response

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0128] A two-layer optimization method for an AC / DC hybrid microgrid based on a demand side response of the present invention will be described in detail below with reference to the embodiments and the accompanying drawings.

[0129] A demand-side response-based double-layer optimization method for an AC / DC hybrid microgrid of the present invention comprises the following steps:

[0130] 1) Based on the incentive-based demand-side response, through the adjustment of the translational load, the load curve is close to the output change curve of renewable energy, and the upper objective function of the AC-DC hybrid microgrid is established with the goal of maximizing the consumption rate of renewable energy;

[0131] The adjustment of the described translatable load adopts the following formula:

[0132]

[0133] L py '(t)=min(L py (t),L(t)-P r (t)) (2)

[0134]

[0135] In the formula: L'(t) represents the total load after load transfer in the tth period; L(t) represen...

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 double-layer optimization method for an alternating current and direct current hybrid microgrid based on demand side response. The method comprises the following steps: basedon the stimulated demand side response, through the adjustment of shiftable load, enabling a load curve to get close to a renewable energy source contributed change curve, using the maximum of renewable energy source consumption rate as a target to establish an upper target function of the alternating current and direct current hybrid microgrid; taking the demand side response based on price intoaccount and also taking the demand side response based on stimulation into account, establishing a lower target function taking minimum operating cost of the alternating current and direct current hybrid microgrid as a target; complying with operation constraints, and establishing a double-layer optimized mathematical model of the alternating current and direct current hybrid microgrid; improvinga culture genetic algorithm, and solving the double-layer optimized mathematical model of the alternating current and direct current hybrid microgrid. According to the method, the maximum of renewable energy source consumption rate is taken as the upper target function, the minimum operating cost of the alternating current and direct current hybrid microgrid is taken as the lower target function,the double-layer optimized mathematical model of the alternating current and direct current hybrid microgrid can realize efficient utilization of renewable energy sources, and the method is beneficial for economic operation of the alternating current and direct current hybrid microgrid.

Description

technical field [0001] The invention relates to an optimization method for an AC-DC hybrid microgrid. In particular, it relates to a two-layer optimization method for AC / DC hybrid microgrid based on demand side response. Background technique [0002] With the increasingly prominent energy crisis, the development and utilization of renewable energy is imminent. Distributed power sources such as wind power generation and photovoltaic power generation can realize efficient utilization of new energy, which is a hot research topic at present. However, because its output is limited by nature and has significant randomness and volatility, it is also a current research difficulty to consider the uncertainty of scenery. The microgrid integrates distributed power sources, loads, energy storage and power electronic devices, etc., and can realize efficient management and utilization of distributed power sources through coordinated control technology. With the diversification of load ...

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
IPC IPC(8): H02J4/00
CPCH02J4/00H02J2203/20
Inventor 李鹏郑苗苗李继红刘理峰顾一丰张雪
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com