Research On Optimal Operation Of Power Systems Including Wind, Photovoltaic And Energy Storage Considering Green Certificate-Carbon Trading

In the context of the increasingly depleted traditional energy and the increasingly serious environmental pollution caused by it,the clean and renewable characteristics of new energy make it gradually become an important part of China’s energy structure.In order to accelerate the realization of the goals of energy conservation and emission reduction,the state has introduced incentive mechanisms such as renewable energy quota system and carbon quota system in recent years,and actively carried out carbon trading and green certificate trading.However,new energy power generation is easily affected by seasons,weather and geography,and its output is uncertain and random.Traditional power grid dispatching operation mode and regulation capacity of conventional thermal power units can no longer meet the imbalance of system supply and demand caused by large-scale new energy integration into the power grid.Therefore,it is urgent to introduce flexible resources such as energy storage to coordinate dispatching.In view of this,in this paper,carbon trading mechanism and green certificate trading mechanism are comprehensively considered in the power system containing new energy,and energy storage is introduced as a regulatory resource to study the optimal operation of the power system containing wind power,photovoltaic power and energy storage.The work done in this paper is as follows:First of all,this paper discusses the research progress of carbon market,green certificate market and optimal dispatch of electric power system containing new energy at home and abroad,introduces the theory of green certificate,carbon trading,modeling methods to deal with uncertainty of wind power and photovoltaic,and application scenarios of energy storage in electric power system.Then,this paper builds a mathematical model of carbon transaction cost and a three-stage mathematical model of green certificate transaction cost.And the output characteristics of wind power and photovoltaic in the system were analyzed.This paper elaborates the relevant influencing factors and mathematical models of each unit output.Secondly,the typical output scenarios and corresponding probabilities of wind power and photovoltaic are generated by the Latin hypercube sampling method and the two-stage synchronous back-generation scenario reduction method.This paper describes the basic architecture and output complementary characteristics of the power generation system including wind power,photovoltaic,thermal power and energy storage.In this paper,the optimal operation model of the solar storage power system is constructed with the lowest system operating cost as the objective function.Then,the influence of green certificate market and carbon trading market on power system scheduling is further considered.Based on the above model,this paper constructs a low-carbon economic scheduling model with the lowest total cost of multi-market transaction cost and system operation cost.Particle swarm optimization algorithm with improved learning factor and inertia weight is adopted to solve the model.Finally,this paper compares the system scheduling results under the traditional scenario,green certificate transaction cost scenario,carbon transaction cost scenario and green certificate-carbon trade combination scenario,and analyzes the changes of wind power,photovoltaic power and thermal power output under different scenarios.In addition,this paper discusses the effects of different carbon quota coefficients and renewable energy quota coefficients on the system scheduling results.Furthermore,carbon offset mechanism is introduced into the scheduling model to compare the changes of system economic cost and unit output before and after the introduction.The simulation results show that the combination of carbon trading and green certificate trading mechanism can further promote the consumption of new energy,reduce carbon emissions of the system,and energy storage can flexibly adjust output under different scenarios,which verifies the rationality and superiority of the model in this paper.