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Research On Key Technologies Of Heat-Power Station System Based On Renewable Energy

Posted on:2022-08-05Degree:MasterType:Thesis
Country:ChinaCandidate:Z X LiFull Text:PDF
GTID:2492306572988489Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
The coal combustion is huge during the heating period in northern China,causing serious carbon emissions and air pollution.In addition,due to limited consumption capacity,wind and solar energy have to be abandoned in these areas with abundant renewable resources.Therefore,it is necessary to explore the potential of renewable energy to replace coal for heating,which is also one of the effective strategies to improve the utilization of renewable energy and achieve clean heating.The traditional combined heat and power system uses fossil fuels as energy sources,and the thermoelectric power-constrained output mode causes curtailment of wind and photovoltaic energy.Therefore,this paper proposes a combined heat and power system based on renewable energy,which allows relatively flexible deployment of thermal and electrical energy,improves renewable energy consumption,reduces pollution,and stabilizes output.Current research on thermo-electric systems is also limited to static energy flow analysis or dynamic characteristics of individual system components.In order to fully exploit and release the complementary potential of thermal and electrical energy,it is necessary to study and utilize the dynamic characteristics of the system.In this context,this article has carried out the following research:(1)The existing research is limited to static energy flow analysis or the dynamic characteristics of one single system element.This article analyzes the mechanism and dynamic characteristics of each part of the system,and establishes the corresponding dynamic mathematical model.A simulation model of each component is constructed in MATLAB/SIMULINK,and the components are connected in series to build an overall simulation platform for hybrid thermal-power station.The simulation results verify the feasibility of constructing the model of the system.(2)Aiming at the control problem of hybrid heat-power station,a two-layer thermal power coordinated control method is proposed.The first level of control adopts a distributed control strategy to realize the distribution of system unbalanced power between electric energy storage and thermal energy storage,and maintain the bus voltage and the state of charge of composite energy storage within a certain range.The second layer mainly controls the flow of thermal energy.On the basis of mining the characteristics of various thermal components,the control meets the needs of heating and electric heating,and maintains the normal operation of the thermal cycle part of the station.In order to cope with the energy shortage caused by the intermittent wind power,the control strategy under extreme conditions is supplemented and improved.The simulation experiment is carried out on the aforementioned hybrid thermalpower station simulation platform,and the simulation results proved that the proposed coordinated control strategy can effectively cope with the various working scenarios faced by the hybrid heat-power station.(3)A comprehensive optimization scheme of hybrid heat-power station system based on renewable energy is proposed.Based on the overall framework of the hybrid heat-power station that has been formed,a comprehensive economic cost of construction investment,operating costs,and income from energy sold has been constructed as the objective function.The overall optimization model of the thermal-power station considers the constraints of the daily operation simulation of the hybrid thermal-power station system,various internal equipment configurations and operating rules.Based on simulation examples,the system comprehensive optimization results under the three operating strategies are compared and analyzed,and the effectiveness of the proposed optimization scheme is verified.
Keywords/Search Tags:Renewable energy, Heat-power station, Dynamic model and simulation, Coordinated control, Integrated optimization
PDF Full Text Request
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