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Research On Optimal Dispatching Based On "Source-Network-Load-Storage" Integration

Posted on:2022-04-26Degree:MasterType:Thesis
Country:ChinaCandidate:X P HaoFull Text:PDF
GTID:2532307070454784Subject:Power system and its automation
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With the continuous advancement of industrialization,the energy crisis and environmental crisis have become problems that cannot be ignored by countries all over the world.Vigorously developing renewable energy is an inevitable trend of today’s development.As the world’s largest energy producer,China’s has made outstanding contributions to promoting the sustainable development of the world.However,the large number of grid-connected renewable energy has also brought new challenges to the stable operation of my country’s power system.How to improve the system’s ability to absorb renewable energy and reduce greenhouse gas emissions is a hot topic of current research.In response to the above problems,this paper studies an optimized scheduling scheme based on the integration of"source-network-load-storage",and the specific content is as follows:Firstly,the integrated energy system considering ground source heat pump is studied.Based on the study of the operation principles of photovoltaic,wind power,storage battery and gas turbine,the system operation strategy considering ground source heat pump is analyzed:consume wind power at night,store energy to the peak load and release it,so as to cut peak and fill valley;"Electricity is determined by heat"in grid connected operation and"electricity is determined by heat"in isolated island operation,which effectively improves the consumption capacity of the system for renewable energy,reduces the operation cost of the system and reduces the energy consumption ratio.On this basis,the flow characteristics of electric energy,thermal energy and cold energy of the whole integrated energy system are analyzed.Secondly,based on the analysis of the electricity price-type and incentive-type demand response principles,and the uncertainty of demand response,an uncertainty model based on consumer psychology is established;The load characteristics after orderly charging and discharging guided by time-of-use price strategy are studied;Based on the principle of thermodynamics,the equivalent thermal parameter model of air conditioning is established,and the response mechanism of temperature control load under direct load control strategy is studied.Then,through the principle of carbon emission trading,the carbon emission index is transformed into carbon emission trading index.On the basis of considering economy,environmental protection and renewable energy consumption capacity at the same time,an optimal scheduling model based on the integration of"source network load storage"is established;The"tabu attribute"theory in Tabu search algorithm is effectively integrated with Harris Eagle optimization algorithm to form Tabu-Harris Eagle optimization algorithm,and the algorithm is used to solve the optimal scheduling model.Finally,the simulation shows that the improved optimization algorithm not only improves the convergence speed,but also enhances the global search ability.Finally,taking an industrial park as an example,the optimal scheduling scheme under typical days and large photovoltaic output scenarios is studied.Through the simulation analysis of the operation cost,the amount of abandoned wind and light and the amount of greenhouse gas emissions under the island operation,grid connected operation and the"source network load storage"integrated operation mode,it is verified that the optimal scheduling scheme of"source network load storage"integration can effectively improve the system’s absorption capacity of renewable energy and reduce CO2 emissions,Improve the economy of system operation.
Keywords/Search Tags:Optimal scheduling, ground source heat pump, flexible load, Taboo-Harris Eagle optimization algorithm
PDF Full Text Request
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