Low-Carbon Economic Dispatch Of Power System Considering Carbon Trading And Wind And Load Forecast Error

The environmental pollution problem in China is becoming more and more serious.Carbon dioxide emissions rank first in the world,and electric power industry is one of the main sources of carbon emissions.For this reason,the carbon trading mechanism was introduced into the economic dispatch of the power system,and the carbon emissions of the grid were controlled by market means.In addition,my country is rich in wind power resources,which have the advantages of being clean and pollution-free.With the gradual exhaustion of coal resources,connecting wind power to the grid can not only reduce the consumption of coal resources in the power system,but also has a protective effect on the environment.However,the randomness and volatility of wind power output bring difficulties to power system dispatching.Thus,it is of great significance to research the low-carbon economic dispatch of the power system that considers the carbon trading mechanism and the uncertainty of wind power.Firstly,the principle of carbon trading mechanism,allocation method and typical power system scheduling model were analyzed.The probability distribution characteristics of wind power forecast errors were studied.The fitting accuracy evaluation index was selected,and the Gaussian mixture model and the single probability density distribution fitting model were compared and analyzed based on the historical measured data to verify the fitting effect of the Gaussian mixture model.Then,A low-carbon economic dispatch model for power systems considering the uncertainty of carbon trading and wind power load forecasting errors was established,and the objective function was to minimize carbon trading costs and thermal power unit fuel costs.Based on the reduction of the total carbon dioxide emissions of the system,a stepped carbon transaction cost model calculated by the carbon emission interval was established,and a carbon emission allowance was set to control the carbon transaction cost.Based on the positive and negative spinning reserve capacity constraints,the wind power and load forecasting errors were expressed,and the chance constrained programming theory was transformed into equivalent deterministic constraints.The multi-objective particle swarm algorithm(MOPSO)was used to solve the complex mixed integer constrained programming problem established in this paper.Finally,through simulation calculation,the carbon transaction cost,fuel cost of thermal power unit,total cost and total carbon emission of the system under the traditional economic dispatching model,the unified low-carbon economic dispatching model and the ladder low-carbon economic dispatching model were analyzed and compared,and the rationality and effectiveness of the proposed model were verified.