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Research On Optimal Regulation Strategy Of Household Energy Management And Air Conditioning Aggregation

Posted on:2020-09-05Degree:MasterType:Thesis
Country:ChinaCandidate:L WangFull Text:PDF
GTID:2392330602460349Subject:Electrical engineering
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With the development and popularization of smart homes and distributed photovoltaic power generation,the two-way information interaction between the grid side and the demand side is strengthened through the active participation of the demand side in the power system scheduling.The home energy management system(HEMS)can not only improve the usage rate of user-type distributed energy,but also greatly reduce the electricity cost of residents;strengthen the intelligent use of electricity on the demand side,and cut the peak for the power grid.The role of the valley further ensures the stability of the operation of the grid.However,the current power market has certain requirements on the performance and capacity of demand side load participation system scheduling.Load aggregator(LA)is a capacity requirement that can aggregate small and medium-sized power loads to reach the power market and participate in the dispatch of the power system.Based on the research of HEMS at home and abroad,the structure is analyzed and its basic combination model is constructed,including photovoltaic cell and energy storage battery model.In addition,it also focuses on the different electrical characteristics of residential electricity load.This paper mainly discusses the model of-configurable flexible load working state matrix considering the user’s will,and on the basis of establishing the optimal objective function of user’s electricity tariff,this paper proposes a kind of optical storage complementary family energy based on user satisfaction.Management coordinated optimization scheduling strategy.This strategy not only considers the actual situation of users’ electricity consumption,but also integrates new technologies such as new energy,energy storage and demand response in the smart grid,which has important practical significance.Finally,the analysis of the example shows that the utilization rate of photovoltaic power generation is significantly improved,the grid-connected impact is reduced,the power supply reliability is ensured,the power efficiency of the household power load is improved,and the user electricity fee is obviously reduced.Flexible load participates in the dispatch of the power company,and LA has an irreplaceable role.LA can aggregate and control the flexible load that meets the requirements,enabling it to participate in the scheduling of the power system.The double-layer optimal regulation strategy of inverter air conditioner load aggregation is proposed.Firstly,a two-layer coordinated optimization model with LA as the middleman is established.Secondly,according to the change of the state of charge,the air conditioning load aggregation and its control potential are modeled.Then,the power company needs to analyze the load to minimize the cost.Side bidding situation,release the power system regulation and control,in order to formulate the second day scheduling plan;finally verify the control strategy through simulation examples.According to the simulation analysis,the power company analyzes the air conditioning load dispatching potential through LA and dispatches the load according to this,alleviates the power imbalance of the entire power system and brings various problems,and strengthens the operating efficiency of the entire power grid.The use of HEMS has improved the utilization rate of new energy,reduced the electricity consumption of residents,and achieved peak-filling.LA aggregates demand side loads with the same characteristics and enhances the two-way interaction between the demand side and the grid side.Studying the mode and strategy of HEMS and LA regulation will be of great significance to promote the development of smart grid.
Keywords/Search Tags:HEMS, optical storage complementarity, user satisfaction, coordinated optimization, LA, inverter air conditioner, reduction potential
PDF Full Text Request
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