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Research On The Model And Method For Intelligent Power Utilization Of Household Appliances

Posted on:2017-01-10Degree:MasterType:Thesis
Country:ChinaCandidate:J JiangFull Text:PDF
GTID:2282330491450825Subject:Control engineering
Abstract/Summary:PDF Full Text Request
Household intelligent power utilization system is an important part of smart grid. That it can make the traditional household appliances to achieve the full range of information exchange, optimize the user’s household electricity structure, enhance user home life more comfortable. Firstly, this paper makes a detailed investigation and research on various kinds of household appliances in the family,introduce a small scale photovoltaic power generation system device and electric vehicle module. Secondly, a typical model of household intelligent power utilization structure is established, the load characteristics of controllable appliance are summarized, and a controllable electrical load optimization method is proposed. Thirdly, an optimization model and algorithm for household intelligent electricity management system is proposed.The optimization model takes into account the non controllable load, controllable load and renewable energy. On the basis of meeting the user’s demand, to save the cost of electricity as much as possible, and use actual case illustrates the feasibility and applicability of the model and algorithm. The simulation results show that, in the entire scheduling period, the non-controllable load is to complete the work according to the needs of users, controllable load and photovoltaic power generation system under comfort constraint conditions is to optimize the operation automatically, the object is to achieve the purpose of peak shaving. Finally, based on the results of these studies, further research aggregate the thermostat controllable load and its control strategy, and use electric water heater load as an example. Simulation results show that the improved temperature control method can overcome the severe fluctuation of the load group.
Keywords/Search Tags:household appliances, intelligent power utilization, load scheduling, model and algorithm, load aggregation
PDF Full Text Request
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