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

Virtual power plant random adaptive robust optimization scheduling method considering block chain technology

An adaptive robust, virtual power plant technology, applied in system integration technology, information technology support system, computing, etc., can solve problems such as insecure information and data, unreasonable profit distribution, and cumbersome management

Active Publication Date: 2021-03-09
JIANGSU ELECTRIC POWER CO
View PDF5 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Furthermore, the current centralized virtual power plant management model has problems such as insecure information and data, unreasonable profit distribution, and cumbersome management.

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
  • Virtual power plant random adaptive robust optimization scheduling method considering block chain technology
  • Virtual power plant random adaptive robust optimization scheduling method considering block chain technology
  • Virtual power plant random adaptive robust optimization scheduling method considering block chain technology

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0103] The specific implementation of the random self-adaptive robust optimization scheduling method of the virtual power plant considering the block chain technology of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0104] According to the present invention, a virtual power plant random self-adaptive robust optimization scheduling method considering block chain technology, such as figure 1 shown, including the following steps:

[0105] Step 1, constructing a VPP deterministic model aiming at profit maximization of a virtual power plant (virtual powerplant, VPP) according to the original data; constructing model constraints; the original data includes: the day-ahead energy market (day-aheadenergy market, DAM), Real-time energy market (real-time energy market, RTM) data and parameters of each aggregation unit of VPP; the constraints include: gas turbine constraints, ESS constraints, interruptible load constraints, DAM / RT...

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 virtual power plant random adaptive robust optimization scheduling method considering a block chain technology. The method comprises the steps of constructing a virtual powerplant deterministic model taking optimal overall profit of a virtual power plant as a target according to original data; further considering the uncertainty in the operation process of the virtual power plant, processing the uncertainty of the market electricity price by adopting a stochastic programming method, processing the uncertainty of the photovoltaic output by adopting an adaptive robustmethod, establishing a stochastic adaptive robust scheduling model of the virtual power plant, and solving by optimizing modeling software GAMS; and finally, enabling the virtual power plant aggregator to publish a day-ahead planned output result obtained by optimization to an Ethereum platform through an intelligent contract editor Remix, and sending the result to each distributed energy node.

Description

technical field [0001] The invention belongs to the field of power supply dispatching in electric power systems, and in particular relates to a random self-adaptive robust optimization dispatching method of a virtual power plant considering block chain technology. Background technique [0002] my country's energy structure is changing towards a clean and low-carbon direction, and renewable energy has the characteristics of geographical dispersion, strong randomness, large volatility, and weak controllability. With the continuous expansion of the total scale of access to the grid, the grid The safe, reliable and economical operation of the system poses new challenges. A virtual power plant (virtual power plant, VPP) aggregates renewable energy, energy storage, demand response (demand response, DR) and other distributed energy sources through advanced communication, metering and control technologies, and participates in grid operation as a whole, which can reduce The impact of...

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): G06Q10/04G06Q10/06G06Q30/02G06Q50/06G06F17/11H02J3/00
CPCG06Q10/04G06Q10/0631G06Q30/0283G06Q50/06G06F17/11H02J3/003Y04S50/14
Inventor 周红益马汝祥侍红兵柏晶晶胥峥
Owner JIANGSU ELECTRIC POWER CO
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