Font Size: a A A

Research On Residential Electric Water Heater Optimization Control Strategy Based On CPS Theory

Posted on:2019-02-03Degree:MasterType:Thesis
Country:ChinaCandidate:Q WuFull Text:PDF
GTID:2382330548970757Subject:Engineering
Abstract/Summary:PDF Full Text Request
Traditional Power Grid is seperated from Information Network,so it's difficult for people to analyse the influce of electricity information on supply-side as well as to exacuate the power supply-demand interactive business.Cyber-physical system can conncect the information world with physical wolrd tidely using advanced perception,calculation,analysis and decision making technology.Depending on this concept,the friendly interaction with demand-side load resources and users can be realized.Temperature-based load can be the cotrolled load,it can realize the optimzation of demand-side resources and smooth the grid volatility by participating in demand response.This thesis designed the CPS structure and models which supported the interaction between residential EWHs and power grid,did reserch on the optimized control strategy of these model design unit.Firstly,a friendly power interactive platform structure was designed in the thesis,and used it as the basis of load optimization control strategy.The EWHs were chosen as the reaserch objects,the thesis did the research on residential EWHs models,analysed the interactive functions through these models and designed the layer-depend interactive residential EHSs optimized control strategy.Then,aiming at the decision making unit of CPS model,the thesis made the optimized control strategy based on cloud model theory combining the residential users water using behavioe and Time-of-use electricity price.To make sure the validity of the results.the thesis compared the load of different time lapse and users'cost before and after optimization,validated the effect on cost savings and smoothing the load curve.At the end,based on CPS model,some necessary information can be acquired from the physical system,the thesis made an EWH optimized control strategy using BPSO algrithm,which aiming at minimizing users' cost and using comfort level as restrict condition.The validation of the strategy has been confirmed by the simulation of aggragated EWHs.
Keywords/Search Tags:Electric Water Heater, Optimized Strategy, Cyber-physical System Theoty, Cloud Model Theory, Binary Particle Swarm Optimization Algrithm
PDF Full Text Request
Related items