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

Combined cold heat and power supply microgrid multi-objective dynamic optimal operation method

A technology of combined cooling, heating and power supply and dynamic optimization, applied in the field of microgrids, can solve the problems of no time period for load shifting in/out, insufficient research on load side controllability, and limited achievability of dispatching results, etc., to achieve Effects of increasing scheduling results, improving power supply reliability and energy utilization, and improving flexibility

Active Publication Date: 2017-12-15
HANGZHOU DIANZI UNIV
View PDF5 Cites 56 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, domestic and foreign research on the optimization of combined cooling, heating and power microgrids mainly focuses on the scheduling of controllable units on the power generation side "source" and energy storage (electricity, heat / cooling) side, and the controllability research on the load side is not enough.
Even though a small amount of research work considers the impact of load shiftability on dispatching results, it only gives the number of different types of loads that can be shifted in / out in each period, and does not give the specific time period for load shifting in / out, thus limiting Achievability of scheduling results
In addition, due to the operating characteristics of energy storage equipment, 0-1 variable and nonlinear coupling constraints are introduced into the optimization problem, which makes the solution of the optimization problem more complicated. Finding an effective optimization method is another problem that needs to be solved at this stage. one question

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
  • Combined cold heat and power supply microgrid multi-objective dynamic optimal operation method
  • Combined cold heat and power supply microgrid multi-objective dynamic optimal operation method
  • Combined cold heat and power supply microgrid multi-objective dynamic optimal operation method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0125] This article selects figure 2 The cooling, heating and power cogeneration microgrid shown is running in the grid-connected state, the dispatching period is one day, and the unit dispatching time Δt is one hour. The predicted power of photovoltaic power generation, wind power generation, electric load, heat (cold) load and real-time electricity price in typical summer days are as follows: image 3 shown. In order to ensure the efficient utilization of energy, all the waste heat flue gas from the micro gas turbine is supplied to the lithium bromide absorption chiller and hot water unit. The rated output power of the micro gas turbine is 60kW, the minimum starting power is 18kW, the power generation efficiency is 0.3, the heat dissipation loss coefficient is 0.16, the fuel is natural gas, and its calorific value is 9.7kW·h / m 3 , the price is 3.3 yuan / m 3 ; The cooling performance coefficient of the lithium bromide absorption cooling and heating unit is 1.2, and the hea...

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 combined cold heat and power supply microgrid multi-objective dynamic optimal operation method; characteristics of translatable electrical load are firstly considered in an optimization process, then schedulability of source side and energy storage system are considered, contribution in each period in three kinds of controllable units serves as optimization variables, minimum system operation cost and minimum pollutant emission control expense serve as optimal operation targets, and a mathematical model of current multi-objective optimal operation problem is established; an excellent particles leading multi-objective particle swarm optimization algorithm is adopted to solve the optimization problem, that is, a single objective genetic algorithm is utilized to respectively find two points including minimum system operation cost and minimum pollutant emission control expense, and the two points serving as excellent particles is utilized to lead an optimal direction of the multi-objective particle swarm algorithm; the invention provides an effective multi-objective dynamic optimal operation method, and the method is significant for improving energy source comprehensive utilization efficiency of a multiple energy coupled system and promoting renewable energy source development.

Description

technical field [0001] The invention belongs to the technical field of micro-grids, in particular to a micro-grid system of combined cooling, heating and power supply for large-scale commercial complexes, and specifically relates to a multi-objective micro-grid of combined cooling, heating and power supply for coordinated scheduling "source-storage-load" Dynamic optimization scheduling method. Background technique [0002] The combined cooling, heating and power microgrid combines the advantages of both the cooling-heating-electricity combined power supply system and the microgrid system. It can recycle the waste heat generated by the micro gas turbine in the microgrid when generating electricity, and use the absorption chiller for cooling. Cooling, so as to realize the triple power supply of cooling, heating and electricity. The combined cooling, heating and power microgrid can be used as a small-scale combined cooling, heating and power low-voltage power supply network to...

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): H02J3/14H02J3/38
CPCH02J3/14H02J3/383H02J3/386H02J3/388H02J2203/20Y02B70/30Y02B70/3225Y02E10/56Y02E10/76Y04S20/222Y04S20/244
Inventor 罗平孙作潇章坚民陈巧勇
Owner HANGZHOU DIANZI 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

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