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Study On Energy Dissipation Mechanism And Regulation Strategy Of Edible Fungi Cultivation Greenhouse

Posted on:2021-04-07Degree:MasterType:Thesis
Country:ChinaCandidate:T X WangFull Text:PDF
GTID:2393330605467430Subject:Engineering
Abstract/Summary:PDF Full Text Request
This paper analyzes the supply-demand side of the microgrid system of edible mushroom cultivation greenhouse.The agriculture-light complementary power supply system is the energy supplier of edible mushroom cultivation greenhouse,and the edible mushroom cultivation greenhouse load is the demand side.The peak load,valley value and mean value of cultivated greenhouse of edible fungi were analyzed through the prediction model of electric energy dissipation,and the predicted results of cultivated green-house load were taken as the basis of regulation.Through the Matlab\Simulink simulation experiment,the research on the mechanism and control strategy of the electric energy dissipation in the edible mushroom cultivation greenhouse is verified,which not only reduces the power supply cost of the rare edible fungus mushroom enterprise but also improves the utilization rate of the new energy.Firstly,based on the load characteristics of cultivation greenhouse,this paper improves the existing photovoltaic power supply system,and establishes the agriculture-light complementary power supply system by combining photovoltaic power supply with agricultural power supply as the supplier of edible fungus cultivation greenhouse.According to the demand of data collection of cultivation greenhouse load in mushroom cultivation experimental base,the monitoring system of edible mushroom cultivation green-house load was established to provide sample data for the prediction model of electric energy dissipation load in cultivation greenhouse.Secondly,through analyzing the characteristics of the cultivation of greenhouse energy dissipation load data,research methods and theory for prediction model,put forward a prediction algorithm based on gray BP neural network,through the prediction algorithm for greenhouse cultivation load forecast analy-sis on load data from the monitoring system of electric energy dissipation prediction model is established,the power dissipation of prediction model of photovoltaic complementary control strategy of predictive value as site control.Finally,by analyzing the load of edible mushroom cultivation greenhouse as the agriculture-light complementary power supply system,the paper designs the fuzzy logic control strategy to regulate the cultivation greenhouse supplier.The prediction results of the prediction model to the cultivated green-house load are used as the basis for regulation.Fuzzy logic controller is used to control the relay of the automatic switching switch of the agriculture-light complementary power supply system.Through the ag-riculture-light complementary power supply system,the load of the cultivation greenhouse is supple-mented with energy,and the traditional power supply mode of the rare edible fungus and mushroom enterprise is changed to improve the utilization rate of the new energy photovoltaic.
Keywords/Search Tags:Power Dissipation, Grey BP Neural Network, Prediction Model, Fuzzy Logic Control
PDF Full Text Request
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