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Research On Interactive Operation Of Electricity Market And Carbon Market Based On Hybrid Simulation

Posted on:2021-01-03Degree:MasterType:Thesis
Country:ChinaCandidate:R J SunFull Text:PDF
GTID:2431330647458648Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
With the global warming problem becoming increasingly prominent,the voice of the international community for reducing greenhouse gas emissions is growing.As the largest carbon dioxide emission source,active participation of the power industry in carbon market is of great significance in reducing emissions.The construction of carbon market has introduced new types of assets and emission reduction approaches for the power industry.The reform of power marketization during the same period will optimize the allocation of power resources and promote the development of low-carbon power.The electricity market and the carbon market are bound to have complex interactions through the power industry link.In this paper,through the study of the interaction mechanism between electricity market and carbon market,the corresponding mathematical model between the two is established and simulated.It makes the market analysis change from pre-analysis based on historical data to postanalysis based on simulation situation deduction,so as to support the optimization of market operation mechanism parameters and the decision adjustment of market participants.The main contents are as follows.The carbon trading mechanism and quota allocation scheme of the power industry are studied to provide a theoretical basis for market modeling and empirical analysis.An interaction model between electricity market and carbon market is built based on the analysis of the direct or indirect coupling mechanism of them.On the Dynamic Simulation Platform for Macro-Energy Systems(DSMES),the hybrid simulation of carbon trading in power systems is designed to create conditions for the simulation of market interaction models.The mechanism of electricity spot market and the short-term operating marginal cost of the unit are analyzed to establish a model of electric power spot market in a carbon market environment.The objective functions and constraints for power generation companies and economic dispatch are set up with the unified clearing mechanism.Based on the actual generator data,a simulation study of the established electricity spot market model was conducted.The research results show that after the carbon emission cost is taken into account,the unit's power supply cost significantly increases.And the carbon price needs to exceed a certain threshold to promote the lowemission unit to be cleared in priority to reduce system emission.The simulation study of carbon market operation in electricity market environment is analyzed.Based on the established electricity spot market model,the power generation and carbon emissions of the power generation company are determined on the basis of the established electricity market agent model,and the carbon market trading strategy of the power generation business is determined by the established behavioral agent model to simulate the carbon market operation status.From the simulation results,the following conclusions are drawn.If the regulator implements the free allocation of quotas for high-emission power generation enterprises,the market's emission reduction effect is very poor.After the carbon price is included in the shortterm operating costs of power generation enterprises,the marginal cost of the units will change,which will promote low Emission units replace high-emission units to generate electricity,change the order of clearing in the power market,increase the profits of lowemission units,and achieve the effect of reducing emissions in the power industry.Market regulators should gradually increase the carbon price level during the construction process to make the carbon price level reasonable to achieve emission reduction goals and effects.
Keywords/Search Tags:Electricity market, Carbon market, Power generation enterprises, Multiagent, Behavior modeling, Marginal cost
PDF Full Text Request
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