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Mixed Energy Sharing Of Multiple Microgrids In Integrated Energy Systems

Posted on:2024-06-13Degree:MasterType:Thesis
Country:ChinaCandidate:X Y MengFull Text:PDF
GTID:2542307079968669Subject:Mechanics (Professional Degree)
Abstract/Summary:PDF Full Text Request
Under the current background of increasing energy production and consumption and decreasing resource reserves,how to meet people’s demand for high-quality energy,reduce resource consumption,reduce carbon emissions and increase the use of renewable energy has become an important direction of current research.In the integrated energy system,we are faced with the difficult problem of how to balance the environmental protection and the economy of power grid operation.Based on the above problems,the modeling of the power-heat-gas integrated energy system was carried out,and MOPSO algorithm was used to balance the relationship between environmental protection and the economic operation of the power grid.Under the premise of multi-objective optimization and economic dispatching,the stepped carbon trading mechanism was improved,so as to carry out the simulation study on the optimization operation of the integrated energy system.The main research work of this paper is as follows:(1)For the optimization of the integrated energy system,the model of the electricheat-gas integrated energy system is established.In terms of the heating network,the CHP and the adjustable heat load model are established.In the aspect of natural gas network,P2 G and GT models are established.In the aspect of energy storage equipment,the model of energy storage device and gas storage tank is established.The establishment of these models lays a foundation for subsequent multi-objective integrated energy system optimization and energy optimal scheduling based on integrated demand response and stepped carbon trading mechanism.(2)The multi-objective optimization problem of integrated energy system is discussed,and the MOPSO algorithm involved is introduced in detail,and the effectiveness of the improved MOPSO algorithm is verified by a simulation example.In the multiobjective optimization of the integrated energy system,the two optimization objectives of economy and environmental protection are particularly important.MOPSO algorithm is selected to optimize the integrated energy system.Through the simulation of the multiobjective optimization of the integrated energy system in four different scenarios,the cost of economic dispatching,environmental dispatching and multi-objective dispatching is obtained,and the operation of the economic dispatching of the integrated energy system under the condition of the lowest operating cost is given.These results have practical implications for achieving efficient and environmentally friendly operation of integrated energy systems through MOPSO algorithm.(3)After introducing the types of comprehensive demand response,the price-based demand response model is introduced to explore the impact of price on the electricity demand of users,and to explore the relationship between demand response and low-carbon scheduling of comprehensive energy system.At the same time,the model of the stepped carbon trading mechanism is deeply studied,including the initial carbon emission quota model,the actual carbon emission model and the stepped carbon emission model.Finally,the stepped carbon trading mechanism model is used for example analysis,and the simulation results and analysis of the power balance diagram of electricity,heat,gas and hydrogen are given,which provides support for the study of the comprehensive demand response and the impact of the stepped carbon trading mechanism on the economic scheduling of the integrated energy system.
Keywords/Search Tags:Electric, thermal and gas integrated energy system, multi-objective optimiza-tion scheduling, MOPSO algorithm, stepped carbon trading mechanism
PDF Full Text Request
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