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

High-energy-consumption park and power grid alternative parallel collaborative optimization scheduling method

A technology of collaborative optimization and dispatching method, which is applied in the direction of instruments, data processing applications, information technology support systems, etc., can solve the problems of inability to realize multi-park and power grid parallel solutions, incomplete stakeholders, and failure to consider the distribution of power grid and park benefits, etc. question

Pending Publication Date: 2021-09-14
SHENYANG INST OF ENG
View PDF5 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] At present, there are two issues to be further explored: ①Although the industrial parks and the power grid are modeled with different stakeholders, when solving the problem, the economic efficiency of the power grid is firstly coordinated, and then the multi-park integrated energy system is Economic efficiency is the goal of secondary coordination. This method cannot realize the parallel solution of multiple parks and power grids; ②The stakeholders considered in the MCIES multi-agent decentralized coordination scheduling are not comprehensive, and the distribution of benefits between power grids and parks is not considered

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
  • High-energy-consumption park and power grid alternative parallel collaborative optimization scheduling method
  • High-energy-consumption park and power grid alternative parallel collaborative optimization scheduling method
  • High-energy-consumption park and power grid alternative parallel collaborative optimization scheduling method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0065] The invention analyzes the composition and energy flow of each device in a typical high-energy-consuming park, and on this basis, independently models each device, establishes a corresponding optimal dispatching model for the power grid and high-energy-consuming parks, and adopts the parallel alternating direction multiplier method The tie-line power is taken as the coupling variable between the power grid and the park, and it is equivalent to the coupled virtual load obtained by the optimal dispatch of the power grid and the coupled virtual power source obtained by the dispatch of the park, so as to realize the parallel decomposition and solution of the power grid and the high-energy-consuming park. The specific example of the magnesium industrial park shows that the high energy consumption park and the power grid decomposition collaborative optimization scheduling have certain advantages, and can realize the optimal operation of the two different stakeholders of the par...

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

A high-energy-consumption park and power grid alternative parallel collaborative optimization scheduling method belongs to the technical field of integrated energy system operation and control, and comprises the following steps: (1) establishing output models and load prediction models of a conventional generator set, a distributed power supply, energy storage and other equipment; (2) carrying out day-ahead prediction on park side electric and thermal loads, photovoltaic output and a power grid side wind generating set; (3) establishing a park integrated energy system group and power grid decomposition collaborative optimization framework; (4) establishing a high-energy-consumption park integrated energy system and power grid parallel decomposition collaborative optimization scheduling model considering network security constraints; (5) establishing a solving process based on a parallel alternating direction multiplier method; and (6) establishing a high-energy-consumption park integrated energy system and power grid parallel decomposition collaborative optimization scheduling Matlab platform solving interaction process. The invention provides a technical basis and a practical method for stable operation and large-scale wind power consumption of the park comprehensive energy system group and the power grid.

Description

technical field [0001] The invention belongs to the technical field of power grid operation, and in particular relates to a high energy-consuming park and a power grid alternately parallel collaborative optimization scheduling method. Background technique [0002] The park-level comprehensive energy system consists of gas turbine units, distributed power supply equipment, auxiliary energy supply equipment and energy storage equipment. The gas turbine units generate electricity by burning natural gas, and the waste heat is collected by waste heat boilers. The waste heat can be refrigerated by absorption refrigerators to supply cooling loads. Use, heating through the heat exchange device can be supplied to the heat load, and the cold storage device, heat storage device and power storage device in the combined cooling, heating and power system can store the remaining cold energy, heat energy and electric energy in the system. By making full use of the waste heat generated by th...

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): G06Q10/06G06Q50/06
CPCG06Q10/06312G06Q10/06393G06Q50/06Y04S10/50
Inventor 叶鹏屈科明关多娇刘思奇杨硕王士元王枫淇李天岳魏靖晓张政斌杨宏宇王子赫邵旸棣
Owner SHENYANG INST OF ENG
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