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Research On Scheduling Method Of The Wind-power-heat Integrated System To Improve The Efficiency Of Wind Power Utilization

Posted on:2019-06-18Degree:MasterType:Thesis
Country:ChinaCandidate:Y F XiFull Text:PDF
GTID:2322330545992072Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
With the continuous development of energy storage technology,in order to adapt to the current high penetration level of wind power,more and more attention has been paid to the coordinated cooperation among natural gas systems,power systems and thermal systems.In order to enable large-scale storage and transmission of wind energy,enhance the coupling between heat and power integration systems,and improve the flexibility of integrated energy grids and efficiency of energy utilization,this project is based on the power to gas(P2G)technology(including hydrogen production by water electrolysis,etc.),the energy storage technology and the selection of the coupling hub between the power system and the thermal system(including cogenerations,electric heat pumps).In this paper,the scheduling models of the wind-power-heat integrated system under various heating modes are established,and the specific contents are as follows:First of all,the studies on the grid structure and dispatching method of the traditional regional energy system composed of intelligent distribution,gas and regional water supply and heating system lay the foundation for further research.Meanwhile,the limitation of traditional energy supply network structure and scheduling strategy is discussed in the paper to improve and optimize the network structure,modeling method and scheduling strategy.Secondly,in combination with the emerging P2 G technology,on the basis of deeply understanding and mastering the characteristics of the equipment / system of energy supply unit,the methods of energy interrelation and transformation,and the existing integrated modeling methods for component level,terminal system and regional energy system,this paper put forward the concept of scheduling model of electric-heat combined system with electric-turn-air energy based on two-domain dynamic optimal power flow.In view of the two common electrothermal production modes,the optimum output force and standard coal consumption of each unit during the optimization period are calculated,and the economic benefit and energy saving benefit of the proposed dispatching mode are judged through the quantitative comparison with the traditional electric heating energy supply form.Thirdly,according to the contradiction between wind power and heat supply and demand of the cogeneration unit system,the combined operation scene of electric heating system with electric heat pump and gas boiler with auxiliary wind power is constructed by improving the regulating ability of heating system through the quick response characteristic of gas boiler,and the mathematical model of electric-thermal coupling optimal scheduling in this scenario is established.The particle swarm optimization algorithm is used to solve the problem,so as to verify the feasibility and effectiveness of the proposed method in improving the efficiency of wind power utilization and reducing the running coal consumption of the electro-thermal coupling function system.Finally,based on the deep understanding of the energy storage technology and the dynamic mastery of the algorithm updating,combined with the new SCA decomposition iterative algorithm,the heat storage device is used to realize the real-time transfer of heat load to increase the flexibility of the heating system.In order to further improve the construction of integrated energy system model,a heat and power co-generation scheduling model with electric heat pump and heat storage device based on SCA decomposition method is proposed.The numerical simulation of the integrated system with 6 buses and 6 nodes verifies the effectiveness of the proposed method.
Keywords/Search Tags:integrated system, combined heat and power(CHP), wind power utilization, power to gas(P2G), energy storing device
PDF Full Text Request
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