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Optimization And Comprehensive Benefit Evaluation Of Multi-Energy Combined Delivery Dispatching Under Carbon Trading

Posted on:2020-06-01Degree:MasterType:Thesis
Country:ChinaCandidate:Y H DingFull Text:PDF
GTID:2392330578468979Subject:Technical Economics and Management
Abstract/Summary:PDF Full Text Request
Since the signing of the Paris Agreement,the pressure on carbon emission reduction faced by China has been increasing.The electric power industry,as a major carbon emitter,should assume the corresponding emission reduction responsibilities.At present,the vigorous development of renewable energy such as wind power and photovoltaic has become one of the effective ways to cope with carbon dioxide emissions and the gap between energy supply and demand.Besides,with the construction of UHV grid transmission projects,the reverse distribution of China's power generation resources and load centers has also been effectively improved.All of these have greatly promoted the development of renewable energy power,but at the same time it also brought about the problem of how to better absorb large-scale renewable energy power.In order to improve the green efficiency of power generation dispatching on the power generation side,the traditional power generation dispatching model is optimized,and a combined dispatching model of three kinds of power generation resources under the carbon trading system is constructed in the thesis.The comparison of comprehensive benefits with other dispatching models validates the practicality,effectiveness and scientificity of the optimized model.Firstly,the thesis summarizes relevant theories of carbon emissions trading theory.multi-energy combined generation dispatching theory,comprehensive evaluation theory,etc.Secondly,a dynamic carbon trading model is constructed based on the intrinsic formation mechanism of carbon emission trading,which is the preparation for the next combined dispatching model construction.Then,considering the randomness and volatility of wind power and photovoltaic,Monte-Carlo random sampling method is used to predict the power generation of wind and photovoltaic,and combine carbon trading model to construct the wind-photovoltaic-coal fired combined power generation dispatching optimization model under the carbon emissions trading system.Next,the proposed optimization model is applied to the Tian-Zhong DC project supporting power of Xinjiang power delivery outside.Case study is carried out using a combination of situational analysis and sensitivity analysis.The results show that under the dispatching model proposed in the thesis,renewable energy is successfully priority grid-connected.While the utilization rate of renewable energy isincreased,the smooth operation of the power generation system is effectively ensured,and the power dispatching system has a relatively low level of coal consumption and carbon emission intensity.At last,in order to further verify the advanced nature of the optimization model.based on the concept of green evaluation,a comprehensive benefits evaluation model for the generation dispatching of different dispatching modes is constructed using the GRA-TOPSIS evaluation method,which is used to compare and analyze the different comprehensive benefits between optimization mode and other modes.The evaluation results show that,due to the appearance of energy-saving and environmental protection benefits,the optimized dispatching model proposed in the thesis has a relatively better power generation dispatching comprehensive benefit.
Keywords/Search Tags:carbon emissions trading, multi-energy combined dispatching, power delivery, comprehensive benefit evaluation
PDF Full Text Request
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