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

Double-layer optimization planning and designing method for combined cooling, heating and power micro-grid system

A combined cooling, heating and power supply, planning and design technology, applied in computing, instruments, sustainable manufacturing/processing, etc., can solve problems such as a single optimization goal and less consideration of cold storage devices

Inactive Publication Date: 2014-03-05
TIANJIN UNIV
View PDF2 Cites 39 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the optimal planning and design method at the present stage fails to consider the impact of each equipment type, capacity and optimal operation strategy on the various operating performances of the system. In terms of optimization objectives, weighted values ​​are used to convert multiple objectives into a single optimization objective, or Pure single-objective optimization method
In addition, cold storage devices, such as ice storage equipment, are rarely considered in the microgrid system of combined cooling, heating and power.

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 planning and designing method for combined cooling, heating and power micro-grid system
  • Double-layer optimization planning and designing method for combined cooling, heating and power micro-grid system
  • Double-layer optimization planning and designing method for combined cooling, heating and power micro-grid system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0062] The technical solution of the present invention will be introduced in detail below according to the accompanying drawings.

[0063] The system structure of the cooling, heating and power cogeneration microgrid system is as follows: figure 1 As shown, the dotted box in the figure shows the energy flow of the traditional production division system. figure 2 is the energy flow diagram of the system. Such as figure 1 and 2 As shown, the system load includes cold, heat, and electricity loads, and the heat load includes hot water load and steam load. In the split production system, the electricity load and the cooling load are met by purchasing electricity from the grid, the heat load is met by the gas boiler, and the energy demand includes gas and electricity. In the cooling, heating and power cogeneration microgrid system, the gas generator consumes natural gas and generates electricity and heat at the same time. The electrical load demand in the system can be met by ...

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 belongs to the field of micro-grid optimization planning and design and relates to a double-layer optimization planning and designing method for a combined cooling, heating and power micro-grid system. The smallest whole life circle economic present value and the minimum CO2 emission are taken as the optimization target of the method, a multi-target genetic algorithm based on NSGA-II is adopted for an outer layer optimization module, and the optimal equipment combination and the equipment capacity of the system are sought according to input equipment physical parameters of the system, input economic parameters and the optimization scheduling result output by an inner layer optimization module; the hybrid integer linear programming algorithm is adopted for the inner layer optimization module, with the lowest system operation cost as the optimization target, the optimal operation strategy on a typical day of the system is obtained according to the optimization configuration scheme given by the outer layer optimization module, the optimization scheduling result of the system is output by the inner layer optimization module, and the system operation cost is transmitted to the outer layer optimization module. The method can achieve combined optimization of the configuration and the operation strategy of the combined cooling, heating and power micro-grid system.

Description

technical field [0001] The invention belongs to the field of micro-grid optimization planning and design, and proposes the minimum economic present value and the CO value of the whole life cycle of the micro-grid system 2 A two-tier optimal planning and design method for a combined cooling, heating and power microgrid system with the minimum emission as the optimization goal. Background technique [0002] The combined cooling, heating and power micro-grid system is a micro-grid form that takes the combined cooling, heating and power equipment as the core, includes multiple distributed units (power generation, energy storage, etc.), and has multiple energy balances. With the gradual depletion of traditional coal, oil and other fossil energy sources, environmental problems have become increasingly prominent. As an effective organizational form of distributed energy supply units, the combined cooling, heating and power supply microgrid system has high primary energy utilization...

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): G06Q10/04G06Q50/06
CPCY02P80/15
Inventor 郭力王成山洪博文刘文建
Owner TIANJIN UNIV
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