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Research On Control Strategy Of Water Heaters For Friendly Interaction Between Residential Users And The Grid

Posted on:2021-10-07Degree:MasterType:Thesis
Country:ChinaCandidate:X J ZhouFull Text:PDF
GTID:2492306305953289Subject:Master of Engineering
Abstract/Summary:PDF Full Text Request
Compared with conventional power supply,the difference between new energy resources lies in that their power output is random,intermittent and fluctuating.The user side is urgently required to be able to absorb new energy resources,in order to improve the utilization rate of new energy.In recent years,smart appliances have been popularized in residential homes.We often choose thermostatically controlled appliances as main research objects.Because of their good energy storage characteristics and flexibility,water heaters have become one of the best choices.This article designs the implementation architecture and business processes for water heater clusters participating in interaction,and sorts out the information technology used in demand response.Because of the shortcoming of most existing researches focusing on single-power water heaters,this paper designs a refined balanced control strategy based on multi-power water heater clusters.In the process of regulation,the optimal solution obtained by the genetic algorithm is transformed into a flexible combination of power level of water heaters to achieve the goal of fine and balanced regulation.This paper puts the water heater into a mathematical model,and then introduces the control strategy in detail.Finally,the superiority of the strategy is verified by simulation.Based on the electricity market environment,a flexible incentive mechanism is designed according to the comfort of users.The general principle is that the size of the subsidy amount is directly related to the user’s water comfort.The greater the loss of user’s water comfort,the more the user’s rights violated,and the more subsidies are issued.In order to avoid the issuance of large subsidies,a dynamic cluster optimization control strategy is designed.The simulation results show that the strategy achieves a good response with less subsidy expenditure,and at the same time,the user’s water comfort is also better guaranteed,so it can achieve a win-win situation between the power grid and users.
Keywords/Search Tags:Power supply and demand interaction, multi-power water heater clusters, genetic algorithm, fine equilibrium control, flexible incentive mechanism, dynamic cluster optimization control
PDF Full Text Request
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