Research On Low-carbon Optimal Dispatching Of Power System Based On Dynamic Carbon Accounting Model

With the introduction of the "3060 dual carbon target",the power industry is facing greater pressure to reduce emissions.To cope with this pressure,the power system needs to implement a series of measures,such as renewable energy generation,the carbon trading market,and demand response mechanisms,to achieve low-carbon development.To achieve low-carbon development,it is necessary to accurately account for the carbon emissions of the power system.However,the traditional accounting method uses fixed carbon emission factors,which are not accurate enough in a wide range of accounting cycles.Therefore,this paper proposes a unit dynamic carbon emission measurement model to judge the carbon emission factor value in real-time according to the unit output level.In addition,this paper also considers renewable energy generation technologies and their uncertain influence factors and combines them with demand response mechanisms to explore low-carbon optimal dispatching methods for power systems,in order to more rationally calculate the carbon emission costs of enterprises and provide guidance to customers for low-carbon electricity consumption,and realize the low-carbon transformation of power systems.The specific work of this paper is as follows:(1)Considering that the accuracy level of the accounting method mainly depends on the carbon emission factor values,a stepped unit dynamic carbon emission measurement model is proposed to solve the problem of insufficient accuracy caused by simply using default values or fixed average carbon emission factors.The dynamic measurement model divides the power output of the generating unit into several intervals,and the power output of each interval has different emission factor values per unit of time,to simulate the emission factors at different power output levels of the unit.The emission factors in all intervals are multiplied by the corresponding unit output and summed up to obtain the unit carbon emissions per unit of time,which improves the efficiency and accuracy of the unit carbon emissions accounting process.(2)Fuzzy parameters are introduced to characterize the uncertain parameters,and the uncertainty parameter model is established by using the opportunity planning constraint theory to solve the negative impact of power uncertainty after large-scale renewable energy is connected to the power system,and the affiliation function and clear equivalence method are used to convert them into deterministic constraints.A dynamic optimal low-carbon dispatching model of the power system is established considering the source-load uncertainty.and the 10 units with wind turbines and photovoltaic panels are used.The validity and reasonableness of the model are verified by using the 10 units with wind turbines and PV panels,and the results show that the trend of the carbon emission factors in the proposed model matches the output level of the units and is in line with the actual operation process,thus realizing the highly accurate and fast calculation of the carbon emission of the power system.(3)Improving the traditional carbon emission flow theory model and expanding its application scenarios;considering the low carbon regulation ability of the demand side and the principle of carbon emission responsibility sharing,based on the improved carbon emission flow theory,adopting the demand response model,proposing a two-stage optimal dispatching method in the day-ahead market,optimizing the load distribution to reduce the system carbon emission,and improving the environmental and economic benefits of the power system under the demand response with the carbon price as the signal.Based on the improved IEEE30 node,the proposed model is verified to be realistic and reasonable.