Household multi-microgrid system optimization control method based on event-driven automatic demand response

An event-driven, demand-response technology, applied in the direction of power network operating system integration, information technology support systems, electrical components, etc., can solve problems that are difficult to implement, and the span between microgrid and energy Internet is large

Active Publication Date: 2019-11-29
ZHEJIANG UNIV OF TECH
View PDF8 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Among them, the Energy Internet combining information technology and renewable energy is the current mainstream research direction. However, the span from microgrid to Energy Internet is too large to be realized.

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
  • Household multi-microgrid system optimization control method based on event-driven automatic demand response
  • Household multi-microgrid system optimization control method based on event-driven automatic demand response
  • Household multi-microgrid system optimization control method based on event-driven automatic demand response

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0138] The present invention will be further described below in conjunction with the accompanying drawings.

[0139] refer to Figure 1 to Figure 12 , an event-driven automatic demand response-based optimal control method for household multi-microgrid systems, comprising the following steps:

[0140] S1: Build a household multi-microgrid system model, initialize the system model and obtain relevant parameters required for optimization, including day-ahead forecast data of wind energy and solar energy;

[0141] S2: Set the optimization period to 24h, and discretize it into K periods with a time interval of Δt, analyze the operating status of the household multi-microgrid system, determine the event type and trigger conditions, and establish an event trigger mechanism;

[0142] S3: According to the internal event type of the microgrid, that is, the internal demand response of the household microgrid, build a household resource scheduling model, aiming at the lowest overall dail...

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 household multi-microgrid system optimization control method based on event-driven automatic demand response. The method comprises the steps of: building a multi-microgrid system model according to the power supply and consumption information of a supply side and a demand side of a household multi-microgrid system; analyzing the operation condition of the household multi-microgrid system, determining an event type and a triggering condition, and establishing an event triggering mechanism; establishing a household resource scheduling model for the event type in the microgrid, and guiding a network access load to complete self power consumption optimization by taking the lowest daily operation cost of the household microgrid as a target and combining the real-time electricity price and the scheduling potential; and establishing an energy sharing model for power interaction between microgrids, calculating the energy level of each sub microgrid in the system withthe purpose of maximizing the overall interaction benefit of the system, and deciding the interaction power between the microgrids according to the historical participation degree and related scheduling criteria of the sub microgrids. According to the invention, the operation cost of the household multi-microgrid system is effectively reduced, the renewable energy consumption rate of the system isimproved, and the automatic demand response of the system is achieved.

Description

technical field [0001] The invention relates to an event-driven automatic demand response-based optimization control method for a household multi-microgrid system. Background technique [0002] In the face of increasingly severe energy and environmental problems, it is no longer a long-term solution to rely solely on fossil energy to supply human daily work. Therefore, the development of renewable energy has become the current mainstream direction in the energy field of countries around the world. Among them, the Energy Internet combining information technology and renewable energy is the current mainstream research direction. However, the span from microgrid to Energy Internet is too large to be realized. Therefore, some scholars have proposed the concept of interconnected microgrids. The interconnected microgrids are also called multi-microgrid systems, which can interconnect multiple microgrids close to each other and coordinate management of multiple microgrids in the en...

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): H02J3/00H02J3/46H02J3/38H02J3/32H02J3/14
CPCH02J3/00H02J3/14H02J3/32H02J3/46Y02B70/3225Y02E70/30Y04S20/222
Inventor 张有兵吴杭飞王国烽杨宇王力成
Owner ZHEJIANG UNIV OF TECH
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